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Referencias

References to studies included in this review

Chen‐Hussey 2013 {published data only}

Chen‐Hussey V, Carneiro I, Keomanila H, Gray R, Bannavong S, Phanalasy S, et al. Can topical insect repellents reduce malaria? A cluster‐randomised controlled trial of the insect repellent N,N‐diethyl‐m‐toluamide (DEET) in Lao PDR. PLoS ONE 2013;8(8):e70664. CENTRAL

Hill 2007 {published data only}

Hill N, Lenglet A, Arnéz AM, Carneiro I. Plant based insect repellent and insecticide treated bed nets to protect against malaria in areas of early evening biting vectors: double blind randomised placebo controlled clinical trial in the Bolivian Amazon. BMJ 2007;335(7628):1023. CENTRAL

Hill 2014 {published data only}

Hill N, Zhou HN, Wang P, Guo X, Carneiro I, Moore SJ. A household randomized, controlled trial of the efficacy of 0.03% transfluthrin coils alone and in combination with long‐lasting insecticidal nets on the incidence of Plasmodium falciparum and Plasmodium vivax malaria in Western Yunnan Province, China. Malaria Journal 2014;13:208. CENTRAL

McGready 2001 {published data only}

McGready R, Hamilton KA, Simpson J A, Cho T, Luxemburger C, Edwards R, et al. Safety of the insect repellent N,N‐diethyl‐M‐toluamide (DEET) in pregnancy. American Journal of Tropical Medicine and Hygiene 2001;65(4):285‐9. CENTRAL

Rowland 1999 {published data only}

Rowland M, Durrani N, Hewitt S, Mohammed N, Bouma M, Carneiro I, et al. Permethrin‐treated chaddars and top‐sheets: appropriate technology for protection against malaria in Afghanistan and other complex emergencies. Transactions of the Royal Society of Tropical Medicine and Hygiene 1999;93(5):465‐72. CENTRAL

Rowland 2004 {published data only}

Rowland M, Downey G, Rab A, Freeman T, Mohammad N, Rehman H, et al. DEET mosquito repellent provides personal protection against malaria: a household randomized trial in an Afghan refugee camp in Pakistan. Tropical Medicine & International Health 2004;9(3):335‐42. CENTRAL

Sangoro 2014a {published data only}

Miller JE. Low cost repellents for malaria prevention in rural Africa: the jury is still out. ASTMH 60th Annual Meeting, 2011 Dec 4‐8; Philadelphia. American Journal of Tropical Medicine and Hygiene 2011;6(Suppl. 1):369‐70. CENTRAL
Sangoro O, Turner E, Simfukwe E, Miller JE, Moore SJ. A cluster‐randomized controlled trial to assess the effectiveness of using 15% DEET topical repellent with long‐lasting insecticidal nets (LLINs) compared to a placebo lotion on malaria transmission. Malaria Journal 2014;13:324. CENTRAL
Sangoro P, Simfukwe E, Moore SJ. Cluster randomized controlled trial to determine the additional benefits of topical repellents to long lasting insecticide nets (LLINs) on malaria incidence. ASTMH 60th Annual Meeting, 2011 Dec 4‐8; Philadelphia. American Journal of Tropical Medicine and Hygiene 2011;6(Suppl. 1):229. CENTRAL

Sluydts 2016 {published data only}

Sluydts V, Durnez L, Heng S, Gryseels C, Canier L, Kim S, et al. Efficacy of topical mosquito repellent (picaridin) plus long‐lasting insecticidal nets versus long‐lasting insecticidal nets alone for control of malaria: a cluster randomised controlled trial. Lancet Infectious Diseases 2016;16(10):1169‐77. CENTRAL

Soto 1995 {published data only}

Soto J, Medina F, Dember N, Berman J. Efficacy of permethrin‐impregnated uniforms in the prevention of malaria and leishmaniasis in Colombian soldiers. Clinical Infectious Diseases 1995;21(3):599‐602. CENTRAL

Syafruddin 2014 {published data only}

Syafruddin D, Bangs MJ, Sidik D, Elyazar I, Asih PB, Chan K, et al. Impact of a spatial repellent on malaria incidence in two villages in Sumba, Indonesia. American Journal of Tropical Medicine and Hygiene 2014;91(6):1079‐87. CENTRAL

References to studies excluded from this review

Abdulsalam 2014 {published data only}

Abdulsalam YM, Muhammad H, Abduljalal A, Iliyasu Z, Muhammad B, Bello MM, et al. Effectiveness of transfluthrin‐coated inflammable‐fumes insecticide‐paper (Rambo) in the prevention of malaria in Kano, Nigeria. International Journal of Infectious Diseases 2014;21(1):154. CENTRAL

Dadzie 2013 {published data only}

Dadzie S, Boakye D, Asoala V, Koram K, Kiszewski A, Appawu M. A community‐wide study of malaria reduction: evaluating efficacy and user‐acceptance of a low‐cost repellent in northern Ghana. American Journal of Tropical Medicine and Hygiene 2013;88(2):309‐14. CENTRAL

Deressa 2014 {published data only}

Deressa W, Yihdego Y, Kebede Z, Batisso E, Tekalegne A, Dagne G. Effect of combining mosquito repellent and insecticide treated net on malaria prevalence in Southern Ethiopia: cluster randomised trial. Parasite & Vectors 2014;7:132. CENTRAL

Eamsila 1994 {published data only}

Eamsila C, Frances S P, Strickman D. Evaluation of permethrin‐treated military uniforms for personal protection against malaria in northeastern Thailand. Journal of the American Mosquito Control Association 1994;10(4):515‐21. CENTRAL

Hamza 2016 {published data only}

Hamza M, Bello M, Ma'aruf M, Manu A, Ado A, Dalhatu Y, et al. Effectiveness of transfluthrin‐coated inflammable‐fumes insecticide‐paper (Rambo) in the prevention of malaria in Kano, Nigeria. Sub‐Saharan African Journal of Medicine 2016;3(2):111. CENTRAL

Kimani 2006 {published data only}

Kimani EW, Vulule JM, Kuria IW, Mugisha F. Use of insecticide‐treated clothes for personal protection against malaria: a community trial. Malaria Journal 2006;5:63. CENTRAL

References to ongoing studies

ACTRN12616001434482 {published data only}

ACTRN12616001434482. Effectiveness of mosquito repellent delivered through village health volunteers on malaria incidence in artemisinin resistance containment programs in South‐East Myanmar. www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12616001434482 14‐10‐2016. CENTRAL

NCT02294188 {published data only}

NCT02294188. Spatial Repellent Products for Control of Vector Borne Diseases ‐ Malaria ‐ Indonesia (SR‐M‐IDR). clinicaltrials.gov/ct2/show/NCT02294188 17‐11‐2014. CENTRAL

NCT02653898 {published data only}

NCT02653839. Malaria elimination pilot study in military forces in Cambodia. clinicaltrials.gov/ct2/show/NCT02653839 08‐01‐2016. CENTRAL

NCT02938975 {published data only}

NCT02938975. Field efficacy of insecticide treated uniforms and skin repellents for malaria prevention. clinicaltrials.gov/ct2/show/NCT02938975. CENTRAL

Balshem 2011

Balshem H, Helfand M, Schünemann HJ, Oxman AD, Kunz R, Brozek J, et al. GRADE guidelines: 3. Rating the quality of evidence. Journal of Clinical Epidemiology 2011;64(4):401‐6.

Barbara 2011

Barbara KA, Sukowati S, Rusmiarto S, Susapto D, Bangs MJ, Kinzer MH. Survey of Anopheles mosquitoes (Diptera:Culicidae) in West Sumba District, Indonesia. Southeast Asian Journal of Tropical Medicine and Public Health 2011;42(1):71‐82.

CDC 2014

Centers for Disease Control and Prevention. In: Brunette GW editor(s). CDC Health Information for International Travel. New York: Oxford University Press, 2014.

Durnez 2013

Durnez L, Coosemans M. Chapter 21: Residual transmission of malaria: an old issue for new approaches. In: Manguin S editor(s). Anopheles mosquitoes ‐ new insights into malaria vectors. Rijeka, Croatia: Intech, 2013.

Garrett‐Jones 1964

Garrett‐Jones C. Prognosis for interruption of malaria transmission through assessment of the mosquito's vectorial capacity. Nature 1964;204:1173‐5.

Guyatt 2011

Guyatt GH, Oxman AD, Schünemann HJ, Tugwell P, Knottnerus A. GRADE guidelines: a new series of articles in the Journal of Clinical Epidemiology. Journal of Clinical Epidemiology 2011;64(4):380‐2.

Harbord 2006

Harbord RM, Egger M, Sterne JA. A modified test for small‐study effects in meta‐analyses of controlled trials with binary endpoints. Statistics in Medicine 2006;25(20):3443‐57.

Herodotus 1996

Herodotus. Herodotus: The Histories. London: Penguin, 1996.

Higgins 2011

Higgins JP, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, et al. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ (Clinical Research Ed.) 2011;343:d5928.

Kitchen 2009

Kitchen LW, Lawrence KL, Coleman RE. The role of the United States military in the development of vector control products, including insect repellents, insecticides, and bed nets. Journal of Vector Ecology: Journal of the Society for Vector Ecology 2009;34(1):50‐61.

Lefebvre 2011

Lefebvre C, Manheimer E, Glanville J. Chapter 6: Searching for studies. In: Higgins JP, Green S, editor(s). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. Available from handbook.cochrane.org.

malERA 2011

malERA Consultative Group on Vector Control. A research agenda for malaria eradication: vector control. PLoS Medicine 2011;8(1):e1000401.

Moore 2002

Moore SJ, Lenglet A, Hill N. Field evaluation of three plant‐based insect repellents against malaria vectors in Vaca Diez Province, the Bolivian Amazon. Journal of the American Mosquito Control Association 2002;18(2):107‐10.

Review Manager 2014 [Computer program]

Nordic Cochrane Centre, The Cochrane Collaboration. Review Manager 5 (RevMan 5). Version 5.3. Copenhagen: Nordic Cochrane Centre, The Cochrane Collaboration, 2014.

Sangoro 2014b

Sangoro PO, Moore SJ. Evaluation of Repellent Efficacy in Reducing Disease Incidencee. In: Debboun M, Frances SP, Strickman D editor(s). Repellents: principles, methods and uses. 2nd Edition. Boca Raton, Florida: CRC Press, 2014.

Sangoro 2014c

Sangoro O, Lweitojera D, Simfukwe E, Ngonyani H, Mbeyela E, Lugiko D, et al. Use of a semi‐field system to evaluate the efficacy of topical repellents under user conditions provides a disease exposure free technique comparable with field data. Malaria Journal 2014;13:159.

Sinka 2010

Sinka ME, Rubio‐Palis Y, Manguin S, Patil AP, Temperley WH, Gething PW, et al. The dominant Anopheles vectors of human malaria in the Americas: occurrence data, distribution maps and bionomic précis. Parasites & Vectors 2010;3:72.

Sinka 2011

Sinka ME, Bangs MJ, Manguin S, Chareonviriyaphap T, Patil AP, Temperley WH, et al. The dominant Anopheles vectors of human malaria in the Asia‐Pacific region: occurrence data, distribution maps and bionomic précis. Parasites & Vectors 2011;4:89.

Snow 1998

Snow RW, Peshu N, Forster D, Bomu G, Mitsanze E, Ngumbao E, et al. Environmental and entomological risk factors for the development of clinical malaria among children on the Kenyan coast. Transactions of the Royal Society of Tropical Medicine and Hygiene 1998;92(4):381‐5.

Sturrock 2013

Sturrock HJ, Hsiang MS, Cohen JM, Smith DL, Greenhouse B, Bousema T, et al. Targeting asymptomatic malaria infections: active surveillance in control and elimination. PLoS Medicine 2013;10(6):e1001467.

Tatem 2010

Tatem AJ, Smith DL. International population movements and regional Plasmodium falciparum malaria elimination strategies. Proceedings of the National Academy of Sciences of the United States of America 2010;107(27):12222‐7. [DOI: 10.1073/pnas.1002971107]

Van Roey 2014

Van Roey K, Sokny M, Denis L, Van den Broeck N, Heng S, Siv S, et al. Field evaluation of picaridin repellents reveals differences in repellent sensitivity between Southeast Asian vectors of malaria and arboviruses. PLoS Neglected Tropical Diseases 2014;8(12):e3326.

White 2014

White NJ, Pukrittayakamee S, Hien TT, Faiz MA, Mokuolu OA, Dondorp AM. Malaria. Lancet 2014;383(9918):723‐35.

WHO 2012

World Health Organization. International Travel and Health. Geneva: World Health Organization, 2012.

WHO 2017

World Health Organization. World Malaria Report 2017. http://apps.who.int/iris/bitstream/10665/259492/1/9789241565523‐eng.pdf?ua=1 (accessed 4 February 2018).

WHOPES 1998

WHOPES. Report of First Meeting of the Global Collaboration for the Development of Pesticides for Public Health (GCDPP). 1998 14‐15 October; WHO/HQ Geneva. www.who.int/whopes/gcdpp/en/oct98_gcdpp_report.pdf (accessed 25 March 2014).

WHOPES 2006

WHOPES. Pesticides and their application: For the control of vectors and pests of public health importance. 6th edition. whqlibdoc.who.int/hq/2006/WHO_CDS_NTD_WHOPES_GCDPP_2006.1_eng.pdf (accessed 25 March 2014).

Wilson 2014

Wilson AL, Chen‐Hussey V, Logan JG, Lindsay SW. Are topical insect repellents effective against malaria in endemic populations? A systematic review and meta‐analysis. Malaria Journal 2014;13:446.

Zhang 2010

Zhang L, Jiang Z, Tong J, Wang Z, Han Z, Zhang J. Using charcoal as base material reduces mosquito coil emissions of toxins. Indoor Air 2010;20(2):176‐84.

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Chen‐Hussey 2013

Methods

Cluster randomized controlled trial (RCT)

Unit of randomization was household.

Intra‐cluster correlation coefficient (ICC) was not reported.

Trial duration: up to 8 months' follow‐up in 2009 and 2010

Participants

Adults or children living in endemic regions of Laos in Attapeu Sekong Provinces.

Participants were not screened at start for P. vivax.

Interventions

Topical repellent: 15% DEET and placebo

Co‐interventions: LLINs

Treatment arms:

‐ Repellent arm: 795 households; 3972 participants; and

‐ Placebo arm: 802 households; 4008 participants.

Outcomes

‐ Participants with malaria parasitaemia confirmed through mRDTs (P. falciparum or P. vivax);

‐ Time to first infection (mean time in person/months to first malaria infection); and

‐ Self‐reported adherence to regular usage of the intervention.

Notes

Conducted in Laos.

Trial registration number: NCT00938379

Funded by Population Services International.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Equal group allocation, stratified by village. Heads of households picked treatment codes through lottery system.

Allocation concealment (selection bias)

Low risk

Heads of households picked treatment codes out of a bowl.

Blinding of participants and personnel (performance bias)
Parasitaemia

Low risk

The treatment allocation was blinded to both participants and field staff.

Blinding of participants and personnel (performance bias)
Time to first infection

Low risk

The treatment allocation was blinded to both participants and field staff.

Blinding of participants and personnel (performance bias)
Compliance

Low risk

The treatment allocation was blinded to both participants and field staff.

Blinding of outcome assessment (detection bias)
Parasitaemia

Low risk

Assessment of parasitaemia or time to first infection are objective outcomes.

“Field staff carrying out randomisation and follow‐up surveys and trial staff performing data entry and analysis were blinded for the length of the trial."

Blinding of outcome assessment (detection bias)
Time to first infection

Low risk

Assessment of parasitaemia or time to first infection are not biased because these are objective outcomes.

Blinding of outcome assessment (detection bias)
Compliance

Low risk

The treatment allocation was blinded to both participants and field staff.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Similar attrition between 2 groups: 11.7% in intervention and 13.2% in control groups were lost to follow‐up/excluded/withdrew.

Selective reporting (reporting bias)

Low risk

Primary outcome was reported as per protocol. Secondary outcomes included all‐cause fever, but this was not reported; however it is non‐essential information for this study.

The data presented on compliance was self‐reported, there was no reporting of compliance measured through "sniff‐checks" although it was described in the Methods section.

Other bias

Low risk

Baseline imbalance

Study arms had similar baseline characteristics.

Hill 2007

Methods

Cluster‐RCT

Unit of randomization: household

ICC was not reported.

Trial duration: 6 months from March to September 2003.

Participants

Adults or children living in malaria‐endemic area

Interventions

Topical repellent lotion containing 30% PMD versus placebo lotion.

Co‐interventions: LLINs

Treatment arms:

‐ Repellent arm (30% PMD) + LLINs: 424 households (1967 individuals)

‐ Placebo arm + LLINs: 436 households (2041 individuals)

Outcomes

‐ Participants with malaria parasitaemia confirmed through mRDTs (specific to P. falciparum);

‐ All‐cause fever;

‐ Self‐reported adherence to regular usage of the intervention; and

‐ Recorded adverse events.

Notes

Conducted in the Bolivian Amazon, Vaca Diez and Pando Provinces

Trial registration number: NCT00144716

Funded by Gates Malaria Partnership grant from London School of Hygiene and Tropical Medicine

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Sequence generation was not random.

“Field staff followed the strict inclusion criteria to randomise participants at the household level following a basic sequential alternate A/B/A/B regimen. Field staff and study participants were blind to the group allocation.”

Allocation concealment (selection bias)

High risk

Sequence generation was alternated. Personnel knew which treatment was given next.

“Field staff followed the strict inclusion criteria to randomise participants at the household level following a basic sequential alternate A/B/A/B regimen. Field staff and study participants were blind to the group allocation.”

Blinding of participants and personnel (performance bias)
Parasitaemia

Low risk

Field staff and participants were blinded to the treatment allocation.

Blinding of participants and personnel (performance bias)
All‐cause fever

Low risk

Field staff and participants were blinded to the treatment allocation.

Blinding of participants and personnel (performance bias)
Compliance

Low risk

Field staff and participants were blinded to the treatment allocation.

Blinding of participants and personnel (performance bias)
Adverse events

Low risk

Field staff and participants were blinded to the treatment allocation.

Blinding of outcome assessment (detection bias)
Parasitaemia

Low risk

Primary outcome is objective (mRDT result), so although it is not described if the outcome assessor is blinded, lack of blinding was unlikely to bias the results.

Blinding of outcome assessment (detection bias)
Compliance

Unclear risk

Blinding of outcome assessment for adherence to intervention is unclear.

Blinding of outcome assessment (detection bias)
All‐cause fever

Unclear risk

Blinding of outcome assessment for all‐cause fever is unclear.

Blinding of outcome assessment (detection bias)
Adverse events

Unclear risk

Blinding of outcome assessment for adverse events is unclear.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

The number of participants lost to follow‐up was similar between treatment arms.

Selective reporting (reporting bias)

Low risk

All the outcomes set to be measured were reported.

Other bias

High risk

Baseline imbalance

“There were no significant differences in most household characteristics (number of household members, roof material, water source, heating source, or possession of electricity, fridge, and radio) between the two groups (data not shown), but households allocated to the repellent group were slightly more likely to own a television than those allocated to the placebo group (P=0.056) (table 1). There were also no significant differences in age or sex between the groups but at baseline more participants in the repellent group were positive for P. falciparum (P=0.065) (table 1).”

Hill 2014

Methods

Cluster‐RCT

Unit of randomization: household

ICC is not reported.

Trial duration: 1 month baseline and 6 months' intervention from April to October 2007.

Participants

Adults or children living in an endemic region

Participants were screened forP. vivax and parasites were cleared at start.

Interventions

Mosquito coils (0.03% transfluthrin) and no treatment.

Co‐interventions: LLINs

Treatment arms:

‐ Control (no treatments) arm ‒ 513 households

‐ 0.03% transfluthrin coils arm ‒ 512 households

‐ LLINs arm ‒ 513 households

‐ LLINs + 0.03% transfluthrin coils arm ‒ 514 households

Outcomes

‐ Participants with malaria parasitaemia confirmed through mRDTs (P. falciparum or P. vivax) and verified by external microscopist through thick film;

‐ Adherence to regular usage of the intervention measured through village leaders' reports and self‐reporting; and

‐ Reduction in indoor density of mosquitoes measured through collections using CDC light traps indoor households from the four treatment arms (monthly arithmetic mean of mosquito densities).

Notes

Conducted in rural areas of China in the Ruili County, Yunnan Province, close to the Myanmar border.

Trial registration number: NCT00442442

Funded by SC Johnson

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Allocation was done using lottery system:

“Households enrolled at baseline were randomly allocated by the lottery method to one of the four intervention arms (i) nothing, (ii) coils alone, (iii) LLINs alone or (iv) coils and LLINs.”

Allocation concealment (selection bias)

Low risk

Allocation was done using lottery system so allocation was concealed:

“Households enrolled at baseline were randomly allocated by the lottery method to one of the four intervention arms (i) nothing, (ii) coils alone, (iii) LLINs alone or (iv) coils and LLINs.”

Blinding of participants and personnel (performance bias)
Parasitaemia

High risk

Participants and field staff were not blinded. Participants may have changed their behaviour if they knew to which treatment they had been allocated.

“Field workers and participants were not blinded to treatment allocation, as this was impossible in practice. However, the field staff collecting monthly RDT data were not aware of the intervention which individuals had been using thus achieving single blinding (investigator) of the study.”

Blinding of participants and personnel (performance bias)
Compliance

High risk

Participants and field staff were not blinded. Participants may have changed their behaviour by knowing the treatment they had been allocated to.

"Field workers and participants were not blinded to treatment allocation, as this was impossible in practice. However, the field staff collecting monthly RDT data were not aware of the intervention which individuals had been using thus achieving single blinding (investigator) of the study.”

” …the untreated control group continued to use their own personal protection methods. It would be unethical to ask anyone not to do this but a record was kept of such ad‐hoc coil use in the negative control group and those reporting the use of one box or more (10 coils/5 nights) were excluded from the analysis for that round.(...) Conversely, those in the control arm were less likely to follow the request of the study directors to not use any intervention, with 13‐19% using local coils for 3 or more days in the month prior to the survey.”

Blinding of participants and personnel (performance bias)
Reduction in mosquitoes attempting to feed on humans

High risk

The team collecting the mosquitoes could have been biased if they knew which houses belonged to each treatment.

Blinding of outcome assessment (detection bias)
Parasitaemia

Low risk

Staff assessing parasitaemia were blinded.

"However, the field staff collecting monthly RDT data were not aware of the intervention which individuals had been using thus achieving single blinding (investigator) of the study.Furthermore, microscopist’s at Yunnan Institute of Parasitic diseases that verified positive RDTs by microscopy and the statistician was blind to the allocation.”

Blinding of outcome assessment (detection bias)
Compliance

High risk

Compliance was measured indirectly through counting of empty boxes of coils.

Blinding of outcome assessment (detection bias)
Reduction in mosquitoes attempting to feed on humans

Low risk

Data is objective therefore the risk of detection bias is low.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Loss to follow‐up was less than 2% in all treatment arms.

Selective reporting (reporting bias)

Low risk

All outcomes were reported.

Other bias

Low risk

Baseline imbalance

Study arms had similar baseline characteristics.

McGready 2001

Methods

RCT

Trial duration: 17 months between April 1995 and September 1996.

Participants

Participants were women who were 3 to 7 months' pregnant.

Participants were not screened at start for P. vivax.

Interventions

20% DEET added to Thanaka (popular local cosmetic) compared to Thanaka alone.

Co‐intervention: none

Treatment arms:

‐ Thanaka containing 20% DEET arm ‒ 449; and

‐ Thanaka arm ‒ 448.

Outcomes

‐ Participants with malaria parasitaemia confirmed through blood smears (P. falciparum andP. vivax);

‐ Adherence to regular usage of the intervention measured through self‐reporting;

‐ Anaemia; and

‐ Recorded adverse events.

Notes

The study was carried out in camps for displaced people of the Karen ethnic minority in endemic regions of Thailand.

The project was funded by the Danish Bilharziasis Laboratory and was part of the Wellcome‒Mahidol University of Oxford Tropical Medicine Research Programme funded by the Wellcome Trust.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not described

Allocation concealment (selection bias)

Unclear risk

Not described

Blinding of participants and personnel (performance bias)
Parasitaemia

Low risk

Double‐blinded RCT, both personnel and participants were blinded to the intervention.

Blinding of participants and personnel (performance bias)
Anaemia

Low risk

Double‐blinded RCT, both personnel and participants were blinded to the intervention.

Blinding of participants and personnel (performance bias)
Compliance

Low risk

Double‐blinded RCT, both personnel and participants were blinded to the intervention.

Blinding of participants and personnel (performance bias)
Adverse events

Low risk

Double‐blinded RCT, both personnel and participants were blinded to the intervention.

Blinding of outcome assessment (detection bias)
Parasitaemia

Low risk

Double‐blinded RCT, both personnel and participants were blinded to the intervention.

Blinding of outcome assessment (detection bias)
Compliance

Low risk

Double blinded RCT, both personnel and participants were blinded to the intervention.

Blinding of outcome assessment (detection bias)
Adverse events

Low risk

Double‐blinded RCT, both personnel and participants were blinded to the intervention.

Blinding of outcome assessment (detection bias)
Anaemia

Low risk

This is an objective outcome.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Attrition between arms was similar, data was not reported in the published but retrieved through communication with the author.

Selective reporting (reporting bias)

Low risk

Reporting was not clear in the published article but data of events between treatment arms was sent to us after communicating with the author.

Other bias

Low risk

Baseline imbalance

"Between April 1995 and September 1996, 897 pregnant women were enrolled in the study, 449 into the DET and thanaka group and 448 into the thanaka alone group with no difference in baseline characteristics"

Rowland 1999

Methods

Cluster‐RCT

Unit of randomization: household

ICC was not reported.

Trial duration: 16 weeks from July to November 1996

Participants

Adults or children living in malaria‐endemic regions

Participants were not screened at start for P. vivax.

Interventions

Treated clothing in the form of chaddars (permethrin 0.1 mg/cm²) versus placebo

Co‐interventions: none

Treatment arms:

‐ Treated chaddar arm: 51 households (438 individuals)

‐ Placebo arm: 51 households (387 individuals)

Outcomes

‐ Participants with clinical malaria confirmed through blood smears or rapid diagnostic tests (P. falciparum or P. vivax); and

‐ Recorded adverse events.

Notes

Trial was conducted with Afghan refugees in Adizai settlement in north‐western Pakistan.

Funded by HealthNet International’s Malaria and Leishmaniasis control and research programme.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number generator used against list of health centre family registration cards.

“To achieve this sample size, 20% of refugee households were selected using a random number generator against the

list of health centre family registration cards.”

Allocation concealment (selection bias)

Unclear risk

Not described.

“Selected households were randomly divided into intervention and placebo groups, and if more than one family lived in a single house all families therein were allocated to the same treatment group.”

Blinding of participants and personnel (performance bias)
Clinical malaria

Low risk

Participants and staff were blinded.

“Field workers were under the assumption that both placebo and permethrin were effective. Health centre staff did not know which families were in

which group.”

Blinding of participants and personnel (performance bias)
Adverse events

Low risk

Participants and staff were blinded.

“Field workers were under the assumption that both placebo and permethrin were effective. Health centre staff did not know which families were in which group.”

Blinding of outcome assessment (detection bias)
Adverse events

Low risk

“Health centre staff did not know which families were in which group"

Blinding of outcome assessment (detection bias)
Clinical malaria

Low risk

“Health centre staff did not know which families were in which group"

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Not stated how many people were lost to follow‐up, or how/if this was measured.

Selective reporting (reporting bias)

Unclear risk

Protocol not available and author failed to communicate with the review team.

Other bias

Low risk

Baseline imbalance

Study arms had similar baseline characteristics.

Rowland 2004

Methods

Cluster‐RCT

Unit of randomizations: household

Intra‐cluster correlation coefficient factor of 0.04.

Trial duration: 7 months between August 1999 and February 2000.

Participants

Adults and children living in malaria‐endemic regions

Participants were not screened at start for P. vivax.

Interventions

Topical repellent ‐ Mosbar soap (20% DEET + 0.5% permethrin) versus placebo lotion

Co‐interventions: none

Treatment arms:

‐ Mosbar soap (20% DEET + 0.5% permethrin) arm: 67 households (618 participants)

‐ Placebo arm: 60 households (530 participants)

Outcomes

‐ Participants with clinical malaria confirmed through blood smears or rapid diagnostic tests (P. falciparum or P. vivax); and

‐ Recorded adverse events.

Notes

Trial was conducted with Afghan refugees in malaria‐endemic region of Pakistan.

Funded by HealthNet International’s Malaria and Leishmaniasis control and research programme.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not described

"By applying simple randomisation 13% (67 of 510) of households were allocated to the repellent soap group and a similar proportion (12%, 60 of 510) to the placebo control."

Allocation concealment (selection bias)

Unclear risk

Not described

Blinding of participants and personnel (performance bias)
Clinical malaria

Low risk

Participants were blinded: although they had been given two different products, a soap or a lotion, they were not aware which one had repellent properties.

Blinding of participants and personnel (performance bias)
Adverse events

Low risk

Participants and personnel were blinded.

Blinding of outcome assessment (detection bias)
Adverse events

Low risk

Participants and personnel were blinded.

Blinding of outcome assessment (detection bias)
Clinical malaria

Low risk

Microscopists were blinded to the treatment allocation.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No losses to follow‐up were reported.

Selective reporting (reporting bias)

Unclear risk

Protocol not available and author failed to communicate with the review team.

Other bias

Low risk

Baseline imbalance

Study arms had similar baseline characteristics.

Sangoro 2014a

Methods

Cluster‐RCT

Unit of randomization: cluster of houses

ICC is not reported.

Trial duration: 14 months from July 2009 to August 2010

Participants

Adults or children living in endemic areas.

Interventions

15% DEET lotion versus placebo lotion

Co‐interventions: LLINs

Treatment arms:

‐ DEET 15% + LLINs arm ‒ 10 clusters, 468 households and 2224 participants

‐ Placebo + LLINs arm ‒ 10 clusters, 469 households and 2202 participants

Outcomes

‐ Participants with clinical malaria confirmed through blood smears or rapid diagnostic tests (P. falciparum); and

‐ Adherence to regular usage of the intervention.

Notes

Trial was conducted in rural communities of the Ulanga district, Kilombero Valley, Tanzania.

Trial registration number: ISRCTN92202008

Funded by Population Services International.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Sequence generation was done using lottery system.

Allocation concealment (selection bias)

High risk

Allocation was not concealed. The method described was basic sequential alternate A/B/A/B.

Blinding of participants and personnel (performance bias)
Clinical malaria

Low risk

The treatment allocation was blinded to both participants and field staff.

Blinding of participants and personnel (performance bias)
Compliance

Low risk

The treatment allocation was blinded to both participants and field staff.

Blinding of outcome assessment (detection bias)
Compliance

High risk

Compliance was indirectly reported by measuring the amount of lotion remaining in the bottle.

Blinding of outcome assessment (detection bias)
Clinical malaria

Low risk

Clinical malaria was diagnosed by mRDT which is an objective method.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Loss to follow‐up and withdrawals were identical between treatment groups.

Selective reporting (reporting bias)

Low risk

All outcomes were reported.

Other bias

High risk

Baseline imbalance:

“Bias was introduced into the study by an imbalance in socio‐economic status between the two study groups. The control group demonstrated a higher socio‐economic status than the control arm.”

Sluydts 2016

Methods

Cluster‐RCT

Unit of randomization: cluster of houses

ICC was calculated per survey; survey 4 ICC was 0.0294.

Trial duration: approximately 20 months from April 2012 until November 2013 inclusive.

Participants

Adults and children living in malaria‐endemic regions.

Participants were not screened at start for P. vivax.

Interventions

Picaridin KBR3023 (topical repellent) versus no treatment

Picaridin 10% for children < 10 years and Picaridin 20% in individuals < 10 years

Co‐interventions: LLINs

Treatment arms:

‐ Picaridin KBR3023 arm ‒ 49 clusters from 57 villages (5642 households, 25,051 individuals)

‐ No treatment arm ‒ 49 clusters from 56 villages (5287 households, 23,787 individuals)

Outcomes

‐ Participants with clinical malaria confirmed through blood smears or rapid diagnostic tests (P. falciparum or P. vivax);

‐ Participants with malaria parasitaemia confirmed through thick or thin blood smears, mRDTs or PCR (P. falciparum or P.vivax);

‐ Adherence to regular usage of the intervention through self‐reporting and observational studies; and

‐ Recorded adverse events.

Notes

Trial was conducted in Ratanakiri province, Cambodia.

Trial registration number: NCT01663831

Funded by the Bill and Melinda Gates Foundation.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random sequence, calculation of restriction factor, and validity matrix was carried out in R using “onemillion_random.RData”.

Allocation concealment (selection bias)

Low risk

All clusters were allocated a treatment at start using a computer generated random sequence.

Blinding of participants and personnel (performance bias)
Parasitaemia

High risk

There was no placebo given to control group.

Blinding of participants and personnel (performance bias)
Clinical malaria

High risk

There was no placebo given to control group.

Blinding of participants and personnel (performance bias)
Compliance

High risk

There was no placebo given to control group so it is unclear how compliance might have been affected. Control group was given LLIN and intervention group was given a topical repellent in addition to the LLIN. It is possible that participants felt they would be protected by the repellent and so would choose not to use their bed net.

Blinding of participants and personnel (performance bias)
Adverse events

High risk

There was no placebo given to control so those given repellent lotions might have felt more likely to suffer adverse effects.

Blinding of outcome assessment (detection bias)
Parasitaemia

Low risk

Parasitaemia was measured by PCR which is an objective test.

Blinding of outcome assessment (detection bias)
Compliance

Unclear risk

Compliance was only measured in the treatment arm because there was no placebo.

Blinding of outcome assessment (detection bias)
Adverse events

High risk

Adverse effects were self‐reported and could have been influenced by the participant knowing that he/she had been given a fully effective mosquito repellent.

Blinding of outcome assessment (detection bias)
Clinical malaria

Unclear risk

The trial was not placebo‐controlled: individuals that received the repellent could have mentioned this to medical staff and influenced their diagnosis of clinical malaria.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Attrition was similar between groups.

Selective reporting (reporting bias)

Low risk

Reporting was done according to protocol.

Other bias

Low risk

Baseline imbalance.

Restrained randomization controlled for baseline imbalances

Soto 1995

Methods

RCT

Duration of the trial: 3 to 5 weeks followed by 4 weeks' follow‐up

Participants

Colombian Army members stationed in endemic areas

Interventions

Insecticide treated clothing versus placebo

Treatment arms:

‐ ITC ‒ 86 individuals;

‐ Placebo ‒ 86 individuals.

Outcomes

‐ Participants with clinical malaria confirmed through blood smears or rapid diagnostic tests (P. falciparum or P. vivax); and

‐ Recorded adverse events.

Notes

Trial was conducted in the Colombian Amazon.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

The randomization process is not described.

Quote “troops were randomly assigned to receive either permethrin‐impregnated or non‐impregnated uniforms”

Allocation concealment (selection bias)

Unclear risk

Poorly described.

Blinding of participants and personnel (performance bias)
Clinical malaria

Low risk

Medical attendants and soldiers were blinded to the intervention.

Blinding of participants and personnel (performance bias)
Adverse events

Low risk

Medical attendants and soldiers were blinded to the intervention.

Blinding of outcome assessment (detection bias)
Adverse events

Low risk

Medical attendants and soldiers were blinded to the intervention.

Blinding of outcome assessment (detection bias)
Clinical malaria

Low risk

Medical attendants and soldiers were blinded to the intervention.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All patients completed the study and there were no losses to follow‐up, no treatment withdrawals, no trial group changes and no major adverse events.

Adherence to instructions (wearing clothes) was not monitored so not possible to assess whether soldiers were compliant.

Selective reporting (reporting bias)

Unclear risk

Protocol not available and the corresponding author failed to communicate.

Other bias

Unclear risk

Baseline imbalance

Both study arms recruited similar number of soldiers and deployed them to the same endemic area. However, the number of weeks soldiers in each study arm were deployed in the field was not reported per arm.

"Each soldier was in the area of endemicity for 3‐8 weeks."

Syafruddin 2014

Methods

Matched pair cluster‐RCT, with the matching done according to village.

Unit of randomization: cluster

ICC not reported.

Trial duration: 6 months

Participants

Male adults between 18 and 60 years old, residents of malaria‐endemic regions.

Participants were screened at start and parasites were cleared.

Interventions

Mosquito coils (0.00975% metofluthrin) versus Placebo coils

No co‐interventions

Treatment arms:

‐ Metofluthrin treated coils: 2 clusters with total of 216 households, population of 1001 individuals and 83 participants (males 18 to 60 years old) enrolled for follow‐up;

‐ Placebo coils: 2 clusters with total of 229 households, population of 1119 and 87 participants (males 18 to 60 years old) enrolled for follow‐up.

Outcomes

‐ Participants with Plasmodium spp. parasitaemia confirmed through blood smear.

‐ Reduction in mosquito landings measured through human landing catch.

‐ Adverse events.

Notes

Trial was conducted in Umbugendo and Wainyapu in Southwest Sumba District, East Nusa Tenggara Province, Indonesia.

Funded by Bill and Melinda Gates Foundation

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomization method was not described.

Allocation concealment (selection bias)

Low risk

The trial as a matched pair cRCT with matching done according to village level. There were only two clusters in each village: therefore after treatment was allocated to one cluster, it was obvious which treatment would be allocated to the next cluster.

Blinding of participants and personnel (performance bias)
Parasitaemia

Low risk

Blinding of both participants and personnel was in place.

“The study administrator obtained a list of lot manufacturing codes from the coil manufacturer (S.C. Johnson Co., Ho Chi Minh, Vietnam) that identified coils as either active or placebo. The administrator then assigned a code specific to each home and labelled packages of coils corresponding to cluster assignment to active or placebo coil treatment. These assignments were kept in a sealed envelope in a secure location within the managing centre of the research program (Jakarta). Thus, the investigators, research team, study subjects, and residents were blinded as to which cluster received active versus placebo coils until after completion of the study.”

Blinding of participants and personnel (performance bias)
Reduction in mosquitoes attempting to feed on humans

Low risk

Technicians collecting the mosquitoes were blinded to the interventions.

Blinding of participants and personnel (performance bias)
Adverse events

Low risk

Blinding of both participants and personnel was in place.

Blinding of outcome assessment (detection bias)
Parasitaemia

Low risk

Blinding of both participants and personnel was in place.

Diagnosis was done through microscopy of blood smear. The method was not validated.

Blinding of outcome assessment (detection bias)
Adverse events

Low risk

Blinding of both participants and personnel was in place.

Blinding of outcome assessment (detection bias)
Reduction in mosquitoes attempting to feed on humans

Low risk

Blinding of both participants and personnel was in place.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No withdrawals were reported.

Selective reporting (reporting bias)

Low risk

The primary outcomes set out by the author in the registered protocol match those reported in the paper.

Other bias

Low risk

Baseline imbalance

Study arms had similar baseline characteristics.

Abbreviations: RCT: randomized controlled trial.

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Abdulsalam 2014

The study only had two units of randomization.

Dadzie 2013

The study was not a randomized controlled trial (RCT).

Deressa 2014

The study did not specify the repellent compound tested.

Eamsila 1994

The study was not a RCT.

Hamza 2016

The study only had two units of randomization.

Kimani 2006

The study only had two units of randomization.

Abbreviations: RCT: randomized controlled trial.

Characteristics of ongoing studies [ordered by study ID]

ACTRN12616001434482

Trial name or title

Effectiveness of mosquito repellent delivered through village health volunteers on malaria incidence in artemisinin resistance containment programs in South‐East Myanmar

Methods

Open stepped‐wedge cluster‐randomized controlled trial (RCT)

Participants

Men and women of all ages residing in the study area. High‐risk populations (mobile and migrant people and residents who are also forest dwellers) will be targeted to receive the repellent.

Interventions

12% DEET cream versus no treatment

Outcomes

The primary epidemiological outcomes will be incidence of Plasmodium spp. infection (diagnosed by an mRDT) and incidence of malaria illness.

Starting date

01‐04‐2015

Contact information

Freya Fowkes ([email protected])

Notes

www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12616001434482

NCT02294188

Trial name or title

Spatial Repellent Products for Control of Vector Borne Diseases ‐ Malaria ‐ Indonesia

Methods

Cluster‐RCT

Participants

Residents of malaria‐endemic regions of Indonesia

Interventions

Spatial repellent passive emanators versus placebo

Outcomes

The primary epidemiological endpoint will be the incidence density of first time malaria infections among human cohorts during the follow‐up period as detected by polymerase chain reaction assay (PCR).

Starting date

May 2015

Contact information

Neil Lobo ([email protected])

Notes

clinicaltrials.gov/ct2/show/NCT02294188

NCT02653898

Trial name or title

Malaria Elimination Pilot Study in Military Forces in Cambodia

Methods

Cluster‐RCT

Participants

Residents of military encampments on the Thai‐Cambodian border

Interventions

Focused screening and treatment, malaria prophylaxis and insecticide‐treated uniforms versus untreated uniforms

Outcomes

The primary epidemiological outcome will be the absolute risk reduction based on the proportion of subjects remaining malaria‐free at the end of 6 months between the study arms as diagnosed by PCR‐corrected malaria microscopy

Starting date

January 2016

Contact information

Chanthap Lon ([email protected])

Notes

clinicaltrials.gov/ct2/show/record/NCT02653898

NCT02938975

Trial name or title

Field Efficacy Of Insecticide Treated Uniforms And Skin Repellents for Malaria Prevention (URCT)

Methods

Cluster‐RCT using a 4‐arm non‐inferiority design with 12 months of follow‐up

Participants

Healthy recruits of the Tanzanian National Service Program JKT Mgambo Camp.

Interventions

Ultra 30 insect repellent lotion (30% Lipo DEET) in combination or not with permethrin factory‐treated army combat uniforms.

Outcomes

The primary epidemiological outcome will be the incidence of P. falciparum malaria through monthly measurement of malaria positivity by direct polymerase chain reaction (PCR) to detect parasite DNA.

Starting date

November 2017

Contact information

Sarah Moore ([email protected])

Notes

clinicaltrials.gov/ct2/show/record/NCT02938975

Abbreviations: RCT: randomized controlled trial.

Data and analyses

Open in table viewer
Comparison 1. Topical repellent compared to placebo or no treatment

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Clinical malaria caused by Plasmodium falciparum Show forest plot

3

4447

Risk Ratio (M‐H, Random, 95% CI)

0.65 [0.40, 1.07]

Analysis 1.1

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 1 Clinical malaria caused by Plasmodium falciparum.

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 1 Clinical malaria caused by Plasmodium falciparum.

1.1 Without LLINs

1

869

Risk Ratio (M‐H, Random, 95% CI)

0.40 [0.23, 0.71]

1.2 With LLINS

2

3578

Risk Ratio (M‐H, Random, 95% CI)

0.84 [0.55, 1.27]

2 Plasmodium falciparum parasitaemia Show forest plot

4

13310

Risk Ratio (M‐H, Fixed, 95% CI)

0.84 [0.64, 1.12]

Analysis 1.2

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 2 Plasmodium falciparum parasitaemia.

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 2 Plasmodium falciparum parasitaemia.

2.1 Without LLINs

1

897

Risk Ratio (M‐H, Fixed, 95% CI)

0.78 [0.53, 1.16]

2.2 With LLINs

3

12413

Risk Ratio (M‐H, Fixed, 95% CI)

0.91 [0.60, 1.38]

3 Clinical malaria caused by Plasmodium vivax Show forest plot

2

3996

Risk Ratio (M‐H, Fixed, 95% CI)

1.32 [0.99, 1.76]

Analysis 1.3

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 3 Clinical malaria caused by Plasmodium vivax.

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 3 Clinical malaria caused by Plasmodium vivax.

3.1 Without LLINs

1

869

Risk Ratio (M‐H, Fixed, 95% CI)

1.42 [1.02, 1.99]

3.2 With LLINs

1

3127

Risk Ratio (M‐H, Fixed, 95% CI)

1.11 [0.64, 1.94]

4 Plasmodium vivax parasitaemia Show forest plot

3

9589

Risk Ratio (M‐H, Fixed, 95% CI)

1.08 [0.81, 1.43]

Analysis 1.4

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 4 Plasmodium vivax parasitaemia.

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 4 Plasmodium vivax parasitaemia.

4.1 Without LLINs

1

897

Risk Ratio (M‐H, Fixed, 95% CI)

0.98 [0.68, 1.40]

4.2 With LLINs

2

8692

Risk Ratio (M‐H, Fixed, 95% CI)

1.24 [0.78, 1.97]

5 Anaemia Show forest plot

1

587

Risk Ratio (M‐H, Fixed, 95% CI)

1.06 [0.91, 1.23]

Analysis 1.5

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 5 Anaemia.

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 5 Anaemia.

6 All‐cause fever Show forest plot

1

3496

Risk Ratio (M‐H, Fixed, 95% CI)

0.44 [0.35, 0.55]

Analysis 1.6

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 6 All‐cause fever.

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 6 All‐cause fever.

7 Adherence to the intervention Show forest plot

Other data

No numeric data

Analysis 1.7

Study

Follow up length

Method

Compliance repellent arm

Compliance treatment arm

Chen‐Hussey 2013

Monthly

Self reporting

Estimating weight of repellent bottles.

61.3%

62.2%

Hill 2007

Monthly

Self reporting

Random unanounced "sniff check"

Estimating weight of repellent bottles.

98.5%

98.5%

McGready 2001

Weekly

Self reporting

Random spot checks

Unclear

Unclear

Sangoro 2014a

Monthly

Self reporting

Mean number of bottles issued to each household

Unclear

Unclear

Sluydts 2016

Non‐periodic

Self reporting

Observational studies

Unclear

Unclear



Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 7 Adherence to the intervention.

8 Adverse events Show forest plot

Other data

No numeric data

Analysis 1.8

Study

Follow up length

Method

Unit

Description of

adverse events

Intervention arm

Control arm

Hill 2007

Monthly surveys

Interview

Even per household

None reported

0/424

0/436

McGready 2001

Weekly surveys

Interview

Unclear

6% of the participants

reported skin warming sensation.

Unclear

Unclear

Rowland 2004

End of trial

Interviews and

questionnaires to 20 households

from each treatment arm

Event per household

Skin irritation

1/20

0/20

Sluydts 2016

Unclear

Unclear

Unclear

Not described

41/unclear



Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 8 Adverse events.

Open in table viewer
Comparison 2. ITC compared to placebo or no treatment

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Clinical malaria caused by Plasmodium falciparum Show forest plot

2

Risk Ratio (Fixed, 95% CI)

0.49 [0.29, 0.83]

Analysis 2.1

Comparison 2 ITC compared to placebo or no treatment, Outcome 1 Clinical malaria caused by Plasmodium falciparum.

Comparison 2 ITC compared to placebo or no treatment, Outcome 1 Clinical malaria caused by Plasmodium falciparum.

2 Clinical malaria caused by Plasmodium vivax Show forest plot

2

Risk Ratio (Fixed, 95% CI)

0.64 [0.40, 1.01]

Analysis 2.2

Comparison 2 ITC compared to placebo or no treatment, Outcome 2 Clinical malaria caused by Plasmodium vivax.

Comparison 2 ITC compared to placebo or no treatment, Outcome 2 Clinical malaria caused by Plasmodium vivax.

3 Adverse events Show forest plot

Other data

No numeric data

Analysis 2.3

Study

Follow up length

Method

Unit

Description of adverse events

Intervention arm

Control arm

Rowland 1999

16 weeks

Interview

Event per household

None reported

0/438

0/387

Soto 1995

End of trial

Interview

Event per participant

Skin irritation

2/229

0/229



Comparison 2 ITC compared to placebo or no treatment, Outcome 3 Adverse events.

Open in table viewer
Comparison 3. Spatial repellents compared to placebo or no treatment

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Plasmodium spp. parasitaemia Show forest plot

2

Risk Ratio (Random, 95% CI)

0.24 [0.03, 1.72]

Analysis 3.1

Comparison 3 Spatial repellents compared to placebo or no treatment, Outcome 1 Plasmodium spp. parasitaemia.

Comparison 3 Spatial repellents compared to placebo or no treatment, Outcome 1 Plasmodium spp. parasitaemia.

2 Adherence to the intervention Show forest plot

Other data

No numeric data

Analysis 3.2

Study

Follow up length

Method

Compliance control arms

Compliance treatment arms

Hill 2014

monthly survey

Self reporting

Counting of empty coil boxes

No treatment arm: 89.3%

LLINs only arm: 97.8%

Repellent coils arm: 98.6%

Repellent coils + LLINs arm: 98.5%



Comparison 3 Spatial repellents compared to placebo or no treatment, Outcome 2 Adherence to the intervention.

3 Reduction in mosquito bites Show forest plot

1

16

Mean Difference (IV, Fixed, 95% CI)

‐10.8 [‐16.23, ‐5.37]

Analysis 3.3

Comparison 3 Spatial repellents compared to placebo or no treatment, Outcome 3 Reduction in mosquito bites.

Comparison 3 Spatial repellents compared to placebo or no treatment, Outcome 3 Reduction in mosquito bites.

4 Adverse events Show forest plot

Other data

No numeric data

Analysis 3.4

Study

Follow‐up length

Method

Unit

Description of adverse events

Intervention arm

Control arm

Syafruddin 2014

6 months

Interviews

Random spot‐checks

None described

None reported

None reported



Comparison 3 Spatial repellents compared to placebo or no treatment, Outcome 4 Adverse events.

Study flow diagram.
Figuras y tablas -
Figure 1

Study flow diagram.

'Risk of bias' summary: review authors' judgements about each 'Risk of bias' item for each included study.
Figuras y tablas -
Figure 2

'Risk of bias' summary: review authors' judgements about each 'Risk of bias' item for each included study.

Forest plot of comparison: 1 Topical repellent compared to placebo or no treatment, outcome: 1.1 Clinical malaria caused by P. falciparum.
Figuras y tablas -
Figure 3

Forest plot of comparison: 1 Topical repellent compared to placebo or no treatment, outcome: 1.1 Clinical malaria caused by P. falciparum.

Forest plot of comparison: 1 Topical repellent compared to placebo or no treatment, outcome: 1.2 P. falciparum parasitaemia.
Figuras y tablas -
Figure 4

Forest plot of comparison: 1 Topical repellent compared to placebo or no treatment, outcome: 1.2 P. falciparum parasitaemia.

Forest plot of comparison: 1 Topical repellent compared to placebo or no treatment, outcome: 1.3 Clinical malaria caused by P. vivax.
Figuras y tablas -
Figure 5

Forest plot of comparison: 1 Topical repellent compared to placebo or no treatment, outcome: 1.3 Clinical malaria caused by P. vivax.

Forest plot of comparison: 1 Topical repellent compared to placebo or no treatment, outcome: 1.4 P. vivax parasitaemia.
Figuras y tablas -
Figure 6

Forest plot of comparison: 1 Topical repellent compared to placebo or no treatment, outcome: 1.4 P. vivax parasitaemia.

Forest plot of comparison: 2 ITC compared to placebo or no treatment, outcome: 2.1 Clinical malaria caused by P. falciparum.
Figuras y tablas -
Figure 7

Forest plot of comparison: 2 ITC compared to placebo or no treatment, outcome: 2.1 Clinical malaria caused by P. falciparum.

Forest plot of comparison: 2 ITC compared to placebo or no treatment, outcome: 2.2 Clinical malaria caused by P. vivax.
Figuras y tablas -
Figure 8

Forest plot of comparison: 2 ITC compared to placebo or no treatment, outcome: 2.2 Clinical malaria caused by P. vivax.

Forest plot of comparison: 3 Spatial repellents compared to placebo or no treatment, outcome: 3.1 Plasmodium spp. parasitaemia.
Figuras y tablas -
Figure 9

Forest plot of comparison: 3 Spatial repellents compared to placebo or no treatment, outcome: 3.1 Plasmodium spp. parasitaemia.

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 1 Clinical malaria caused by Plasmodium falciparum.
Figuras y tablas -
Analysis 1.1

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 1 Clinical malaria caused by Plasmodium falciparum.

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 2 Plasmodium falciparum parasitaemia.
Figuras y tablas -
Analysis 1.2

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 2 Plasmodium falciparum parasitaemia.

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 3 Clinical malaria caused by Plasmodium vivax.
Figuras y tablas -
Analysis 1.3

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 3 Clinical malaria caused by Plasmodium vivax.

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 4 Plasmodium vivax parasitaemia.
Figuras y tablas -
Analysis 1.4

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 4 Plasmodium vivax parasitaemia.

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 5 Anaemia.
Figuras y tablas -
Analysis 1.5

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 5 Anaemia.

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 6 All‐cause fever.
Figuras y tablas -
Analysis 1.6

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 6 All‐cause fever.

Study

Follow up length

Method

Compliance repellent arm

Compliance treatment arm

Chen‐Hussey 2013

Monthly

Self reporting

Estimating weight of repellent bottles.

61.3%

62.2%

Hill 2007

Monthly

Self reporting

Random unanounced "sniff check"

Estimating weight of repellent bottles.

98.5%

98.5%

McGready 2001

Weekly

Self reporting

Random spot checks

Unclear

Unclear

Sangoro 2014a

Monthly

Self reporting

Mean number of bottles issued to each household

Unclear

Unclear

Sluydts 2016

Non‐periodic

Self reporting

Observational studies

Unclear

Unclear

Figuras y tablas -
Analysis 1.7

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 7 Adherence to the intervention.

Study

Follow up length

Method

Unit

Description of

adverse events

Intervention arm

Control arm

Hill 2007

Monthly surveys

Interview

Even per household

None reported

0/424

0/436

McGready 2001

Weekly surveys

Interview

Unclear

6% of the participants

reported skin warming sensation.

Unclear

Unclear

Rowland 2004

End of trial

Interviews and

questionnaires to 20 households

from each treatment arm

Event per household

Skin irritation

1/20

0/20

Sluydts 2016

Unclear

Unclear

Unclear

Not described

41/unclear

Figuras y tablas -
Analysis 1.8

Comparison 1 Topical repellent compared to placebo or no treatment, Outcome 8 Adverse events.

Comparison 2 ITC compared to placebo or no treatment, Outcome 1 Clinical malaria caused by Plasmodium falciparum.
Figuras y tablas -
Analysis 2.1

Comparison 2 ITC compared to placebo or no treatment, Outcome 1 Clinical malaria caused by Plasmodium falciparum.

Comparison 2 ITC compared to placebo or no treatment, Outcome 2 Clinical malaria caused by Plasmodium vivax.
Figuras y tablas -
Analysis 2.2

Comparison 2 ITC compared to placebo or no treatment, Outcome 2 Clinical malaria caused by Plasmodium vivax.

Study

Follow up length

Method

Unit

Description of adverse events

Intervention arm

Control arm

Rowland 1999

16 weeks

Interview

Event per household

None reported

0/438

0/387

Soto 1995

End of trial

Interview

Event per participant

Skin irritation

2/229

0/229

Figuras y tablas -
Analysis 2.3

Comparison 2 ITC compared to placebo or no treatment, Outcome 3 Adverse events.

Comparison 3 Spatial repellents compared to placebo or no treatment, Outcome 1 Plasmodium spp. parasitaemia.
Figuras y tablas -
Analysis 3.1

Comparison 3 Spatial repellents compared to placebo or no treatment, Outcome 1 Plasmodium spp. parasitaemia.

Study

Follow up length

Method

Compliance control arms

Compliance treatment arms

Hill 2014

monthly survey

Self reporting

Counting of empty coil boxes

No treatment arm: 89.3%

LLINs only arm: 97.8%

Repellent coils arm: 98.6%

Repellent coils + LLINs arm: 98.5%

Figuras y tablas -
Analysis 3.2

Comparison 3 Spatial repellents compared to placebo or no treatment, Outcome 2 Adherence to the intervention.

Comparison 3 Spatial repellents compared to placebo or no treatment, Outcome 3 Reduction in mosquito bites.
Figuras y tablas -
Analysis 3.3

Comparison 3 Spatial repellents compared to placebo or no treatment, Outcome 3 Reduction in mosquito bites.

Study

Follow‐up length

Method

Unit

Description of adverse events

Intervention arm

Control arm

Syafruddin 2014

6 months

Interviews

Random spot‐checks

None described

None reported

None reported

Figuras y tablas -
Analysis 3.4

Comparison 3 Spatial repellents compared to placebo or no treatment, Outcome 4 Adverse events.

Summary of findings for the main comparison. Topical repellents compared to placebo or no treatment for malaria prevention

Topical repellents compared to placebo or no treatment for malaria prevention

Patient or population: malaria prevention
Setting: malaria‐endemic regions
Intervention: topical repellents
Comparison: placebo or no treatment

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

Number of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Risk with Placebo or no treatment

Risk with Topical repellents

Clinical malaria: P. falciparum

39 per 1000

25 per 1000
(15 to 41)

RR 0.65
(0.40 to 1.07)

4450
(3 studies)

⊕⊝⊝⊝
VERY LOW1,2,3

Due to risk of bias, inconsistency and imprecision

We do not know if topical repellents have an effect on malaria cases caused by P. falciparum. We have very little confidence in the effect estimate. The true effect is likely to be substantially different from the estimate of effect.

Parasitaemia: P. falciparum

15 per 1000

12 per 1000
(9 to 17)

RR 0.84
(0.64 to 1.12)

13,310
(4 studies)

⊕⊕⊝⊝
LOW4,5

Due to risk of bias and imprecision

Topical repellents may or may not have a protective effect against P. falciparum parasitaemia. Our confidence in the effect estimate is limited. The true effect may be substantially different from the estimation of the effect.

Clinical malaria: P. vivax

36 per 1000

48 per 1000
(36 to 64)

RR 1.32
(0.99 to 1.76)

3996
(2 studies)

⊕⊕⊝⊝
LOW6,7

Due to risk of bias and imprecision

Topical repellents may increase the number of clinical cases caused by P. vivax. Our confidence in the effect estimate is limited. The true effect may be substantially different from the estimation of the effect.

Parasitaemia: P. vivax

18 per 1000

19 per 1000
(14 to 25)

RR 1.07
(0.80 to 1.41)

9434
(3 studies)

⊕⊕⊝⊝
LOW7,8

Due to risk of bias and imprecision

Topical repellents may or may not have a protective effect against P. vivax parasitaemia Our confidence in the effect estimation is limited. The true effect may be substantially different from the estimation of the effect.

*The risk in the intervention group (and its 95% CI) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
Abbreviations: CI: confidence interval; RR: risk ratio; OR: odds ratio.

GRADE Working Group grades of evidence
High certainty: we are very confident that the true effect lies close to that of the estimate of the effect.
Moderate certainty: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low certainty: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect.
Very low certainty: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect.

1Downgraded by 1 for risk of bias: Sangoro 2014a used alternate allocation and reported a baseline imbalance; random sequence generation and allocation concealment were not described by Rowland 2004; and Sluydts 2016 did not have a placebo so the intervention was not blinded.
2Downgraded by 1 because of the large heterogeneity between the 3 trials. The I² statistic, which quantifies the proportion of the variation in the point estimates due to among‐study differences, was considered substantial at 50%. The subgroup analysis to some extent explained the heterogeneity but we do not believe that there is enough evidence to suggest there is a true subgroup effect given that there is no heterogeneity in the outcome parasitaemia caused by P. falciparum where studies with and without LLINs were also analysed.
3Downgraded by 1 for imprecision because the sample size is too small, the CIs are wide, the pooled effect (0.40 to 1.07) overlaps a risk ratio (RR) of 1.0 (no effect) and presents an estimate of effect ranging between beneficial and harmful.
4Downgraded by 1 for risk of bias: Hill 2007 used alternate allocation and reported a baseline imbalance; random sequence generation and allocation concealment were not described by McGready 2001.
5Downgraded by 1 for imprecision because the sample size is too small, the CIs are very wide, the pooled effect (0.62 to 1.12) overlaps a risk ratio (RR) of 1.0 (no effect) and presents an estimate of effect ranging between beneficial and harmful.
6Downgraded by 1 for risk of bias: random sequence generation and allocation concealment were not described by Rowland 2004; Sluydts 2016 was not placebo‐controlled and intervention was not blinded.
7Downgraded by 1 for imprecision because the CIs are very wide, the pooled effect (0.80 to 1.41) overlaps a risk ratio (RR) of 1.0 (no effect) and presents an estimate of effect ranging between beneficial and harmful.
8Downgraded by 1 for risk of bias: random sequence generation and allocation concealment were not described by McGready 2001.

Figuras y tablas -
Summary of findings for the main comparison. Topical repellents compared to placebo or no treatment for malaria prevention
Summary of findings 2. ITC compared to placebo or no treatment for malaria prevention

ITC compared to placebo or no treatment for malaria prevention

Patient or population: malaria prevention
Setting: malaria‐endemic regions
Intervention: ITC
Comparison: placebo or no treatment

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

Number of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Risk with placebo or no treatment

Risk with ITC

Clinical malaria: P. falciparum

35 per 1000

17 per 1000
(10 to 29)

RR 0.49
(0.29 to 0.83)

997
(2 studies)

⊕⊕⊝⊝
LOW1,2

Due to risk of bias and imprecision

Insecticide‐treating clothing may have a protective effect against malaria caused by P. falciparum. Our confidence in the effect estimate is limited. The true effect may be substantially different from the estimate of the effect.

Clinical malaria: P. vivax

116 per 1000

74 per 1000
(47 to 117)

RR 0.64
(0.40 to 1.01)

997
(2 studies)

⊕⊕⊝⊝
LOW1,2

Due to risk of bias and imprecision

Insecticide‐treated clothing may have a protective effect against malaria caused by P. vivax. Our confidence in the effect estimate is limited. The true effect may be substantially different from the estimate of the effect.

*The risk in the intervention group (and its 95% CI) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
Abbreviations: CI: confidence interval; RR: risk ratio; OR: odds ratio.

GRADE Working Group grades of evidence
High certainty: we are very confident that the true effect lies close to that of the estimate of the effect
Moderate certainty: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low certainty: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect
Very low certainty: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect

1Downgraded by 1 for risk of bias: Soto 1995 did not describe how randomization and allocation concealment was assured; and had unclear risk of baseline bias because did not report how long soldiers in each arm were deployed to malaria endemic areas. Rowland 1999 did not describe the method used for allocation concealment.
2Downgraded by 1 for imprecision: the sample sizes and number of events are very small.

Figuras y tablas -
Summary of findings 2. ITC compared to placebo or no treatment for malaria prevention
Summary of findings 3. Spatial repellents compared to placebo or no treatment for malaria prevention

Spatial repellents compared to placebo or no treatment for malaria prevention

Patient or population: malaria prevention
Setting: malaria‐endemic regions
Intervention: spatial repellents
Comparison: placebo or no treatment

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

Number of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Risk with placebo or no treatment

Risk with Spatial repellents

Parasitaemia Plasmodium spp.

10 per 1000

2 per 1000

(0 to 18)

RR 0.24

(0.03 to 1.72)

6683

(2 studies)

⊕⊝⊝⊝
VERY LOW1,2,3

Due to risk of bias, imprecision and inconsistency

We do not know if spatial repellents protect against malaria. We have very little confidence in the effect estimate. The true effect is likely to be substantially different from the estimate of effect.

*The risk in the intervention group (and its 95% CI) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
Abbreviations: CI: confidence interval; RR: risk ratio; OR: odds ratio.

GRADE Working Group grades of evidence
High certainty: we are very confident that the true effect lies close to that of the estimate of the effect
Moderate certainty: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different
Low certainty: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect
Very low certainty: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect

1Downgraded by 1 for risk of bias: Hill 2014 was not blinded.
2Downgraded by 1 for imprecision: Hill 2014 was underpowered and reported very few events (1/3349 in the intervention and 11/3270 in the control), and the CIs ranged from no effect to large benefits. Both studies were underpowered.
3Downgraded by 1 for inconsistency: there is considerable unexplained heterogeneity between trials (I² statistic = 46%)

Figuras y tablas -
Summary of findings 3. Spatial repellents compared to placebo or no treatment for malaria prevention
Table 1. Assessment of compliance

Study

Intervention group

Design

Method of assessing compliance

Unit

Follow‐up time

Compliance level1

Intervention arm

Placebo arm

Chen‐Hussey 2013

Topical repellent

cRCT

Self‐reported compliance.

Self‐reported combined with an estimation of the proportion of lotion used by the participant by weighing the returned bottles.

Percentage of self‐reported participants/night that adhered to the assigned treatment in a given month.

Participants who reported to have used the repellent and confirmed by the weight of returned bottles.

Monthly surveys

Moderate: 61.3%

Moderate: 62.2%

Hill 2007

Topical repellent

cRCT

Self‐reported compliance through questionnaires combined with an estimation of the amount used by weighing the returned bottles, and verified by unannounced “sniff checks”.

Cumulative percentage of compliant households per month.

A household was considered non‐compliant if they had reported to have not used the repellent 3 or more nights in a month or had more than 30 ml left in the bottle.

Monthly surveys

High: 98.5% (119/8164)

High: 98.5% (110/7876)

Hill 2014

Spatial repellent

cRCT

Daily recordings of compliance per household were reported by village leaders. Compliance was further confirmed by counting the number of empty mosquito coil boxes in each house.

Cumulative percentage of compliant households per month.

A household was considered non‐compliant if it did not use the coils for 3 days or longer in one month.

Monthly surveys

High

No treatment arm: 89.3%

LLIN arm: 97.8%

High

Repellent coils arm: 98.6%

Repellent coils + LLINs: 98.5%

McGready 2001

Topical repellent

RCT

Weekly self‐reporting and random spot checks.

Cumulative percentage of compliant participants per week.

Weekly surveys

Unclear

Compliance was reported to be similar across treatment arms (P = 0.24) but was not reported for each arm.

Self‐reported compliance: 90.5% (87,715/96,955)

Compliance measured by spot checks: 84.6% (1918/2267)

Sangoro 2014a

Topical repellent

cRCT

Self‐reported compliance through questionnaires combined with an estimation of the amount used by counting the empty returned bottles.

Mean number of bottles of repellent issued to each household per month.

Monthly surveys

Unclear

Authors stated that self‐reported data was unreliable so they used the data from the empty bottles to estimate compliance. Compliance was poorly reported. The authors reported mean number of bottles issued per household per month rather than estimating the compliance level for each treatment arm:

Repellent arm: 6.73 bottles (95% CI 6.51 to 6.95)

Placebo arm: 6.92 bottles (95% CI 6.68 to 7.16)

Sluydts 2016

Topical repellent

cRCT

Self‐reported compliance was assessed using questionnaires during 3 surveys in October 2012, March 2013 and October 2013.

The repellent consumption rate was measured per family every 2 weeks during the repellent distribution by visual inspection of the leftover repellent divided into categories (for example, empty, half full, full).

A social science study was done to assess the acceptability and use of repellents in 10 selected clusters.

Unit of measurement was not clearly defined.

Self‐reported compliance is likely the percentage of compliant households during the survey period but was not defined in the article.

The repellent consumption rate was not reported.

Social study reported percentage of participants observed to comply with the application of the repellent from a small selection of 10 clusters in the intervention group.

Non‐periodic surveys (in October 2012, March 2013 and October 2013) along the duration of the trial.

Self‐reported compliance was reported around 70%.

However, observational studies reported compliance between 6% and 15% .

No placebo

1Levels of compliance: high: > 80%; moderate: 50% to 79%; low: < 50%.

Figuras y tablas -
Table 1. Assessment of compliance
Table 2. Epidemiology of malaria and major vector of the study region

Study

Intervention

Design

Transmission intensity1,2

Region

Main malaria vectors

Biting times

Efficacy of the intervention at repelling Anophelines tested at baseline? (V/N)

Chen‐Hussey 2013

Topical repellent

cRCT

Hypoendemic

0.83% P. falciparum

0.4% P. vivax

Measured through active case detection

South East Asia ‐ Laos

Anopheles dirus

An. minimus

An. maculatus

From 18:00 to 2:00 with peak biting time from 21.00 to 02.00.

No

Hill 2007

Topical repellent

cRCT

Hypoendemic

0.31% P. falciparum

Measured through active case detection

South America: Bolivian Amazon Region

An. darlingi

Peak biting activity between 8 p.m. and 10 p.m.

Yes

Moore 2002

Hill 2014

Spatial repellent

cRCT

Hypoendemic

0.06% P. falciparum

0.28% P. vivax

Measured through active case detection

South East Asia: Yunnan Province of China

An. sinensis

An. minimus

An. kochi

An. splendidus

An barbirostris

An. vagus

An. jeyporiensis

An. annularis

An. philippinsis

An. tessallatus

An. maculatus

An. barbumbrosus

An. dirus

An culicifacies

Given the diversity of vectors in the area the biting activity occurs from early evening extending to later in the night.

Yes

McGready 2001

Topical repellent

RCT

Mesoendemic

11.4% P. falciparum

11.8% P. vivax

Measured through active case detection

South East Asia: Thailand

Not reported

Not reported

No

Rowland 1999

Insecticide treated clothing

cRCT

Holoendemic

20.7% P. falciparum

17.6% P. vivax

Measured through passive case detection

North Western Pakistan

An. nigerrimus

An. subpictus

An. stephensi

Not reported

Yes

Rowland 2004

Topical repellent

cRCT

Mesoendemic

8.9% P. falciparum

11.7% P. vivax

Measured through passive case detection

Asia: Pakistan

An. culicifacies

An. stephensi

An. nigerrimus

An. pulcherrimus

Mosquito biting starts after dusk, peaks around 9 p.m. to 11 p.m. then declines gradually through the night.

Yes

Sangoro 2014a

Topical repellent

cRCT

Mesoendemic

6.22% P. falciparum

Measured through passive case detection

East Africa: Tanzania

An gambiae s.s.

An arabiensis

Biting activity starts early evening and continues into the later hours of the night.

Yes

Sangoro 2014c

Sluydts 2016

Topical repellent

cRCT

Hypoendemic

1.33% P. falciparum

1.85% P. vivax

Measured through active case detection

Southeast Asia: Cambodia

An. dirus s.s.

An. maculatus

An barbirostris

An. minimus s.s.

An. sawadwongporni

An aconitus

Early evening biting was common.

Yes

Van Roey 2014

Soto 1995

Insecticide‐treated clothing

RCT

Mesoendemic for P.vivax and Hypoenemic for P. falciparum

3.4% P. falciparum

10.4% P. vivax

Measured through passive case detection

South America: Colombia

Unclear

Not reported

No

Syafruddin 2014

Spatial repellent

cRCT

Holoendemic for Plasmodium spp.

70.1% Plasmodium spp.

Measured through passive case detection

Asia:

Indonesia

An. sundaicus

An. subpictus s.l.

An. indefinitus

An. vagus

An. barbirostris

An. annularis

An. maculatus

An. aconitus

An. kochi

An. tessellatus

Early evening biting was common with peaks between 18:00 and 20:00 continuing throughout the night. The high diversity of vectors also reflected diverse biting patterns.

Yes

Barbara 2011

1Transmission intensity: holo‐endemic: malaria prevalence > 15%; meso‐endemic: malaria prevalence 5% to 15%; and hypo‐endemic: malaria prevalence < 5%.
2Calculated from prevalence in the control group.

Figuras y tablas -
Table 2. Epidemiology of malaria and major vector of the study region
Table 3. Malaria diagnostic methods

Study

Intervention

Design

Diagnostic method

Validated

Plasmodium species in the region

Participants screened and cleared for vivax (Y/N)

Chen‐Hussey 2013

Topical repellent

cRCT

mRDT

Yes, by PCR

80% P. falciparum

20% P. vivax

No

Hill 2007

Topical repellent

cRCT

mRDT

No

P. falciparum

P. vivax

No1

Hill 2014

Spatial repellent

cRCT

mRDTs

Yes, positive RDTs were validated through thick blood slide.

32% P. falciparum

58% P. vivax

Yes

McGready 2001

Topical repellent

RCT

Blood smear

No

P. falciparum

P. vivax

No

Rowland 1999

Insecticide‐treated clothing

cRCT

Blood smear

No

P. falciparum

P. vivax

No

Rowland 2004

Topical repellent

cRCT

Blood smear

No

P. falciparum

P. vivax

No

Sangoro 2014a

Topical repellent

cRCT

mRDT

Unclear if microscopy was used for validation of positive mRDTs

Mainly P. falciparum

No1

Sluydts 2016

Topical repellent

cRCT

PCR

No

P. falciparum

P. vivax

No

Soto 1995

Insecticide‐treated clothing

RCT

Blood smear

No

P. falciparum

P. vivax

No

Syafruddin 2014

Spatial repellent

cRCT

Blood smear

No

P. falciparum

P. vivax

Yes

1mRDT was only specific for P. falciparum.

Figuras y tablas -
Table 3. Malaria diagnostic methods
Comparison 1. Topical repellent compared to placebo or no treatment

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Clinical malaria caused by Plasmodium falciparum Show forest plot

3

4447

Risk Ratio (M‐H, Random, 95% CI)

0.65 [0.40, 1.07]

1.1 Without LLINs

1

869

Risk Ratio (M‐H, Random, 95% CI)

0.40 [0.23, 0.71]

1.2 With LLINS

2

3578

Risk Ratio (M‐H, Random, 95% CI)

0.84 [0.55, 1.27]

2 Plasmodium falciparum parasitaemia Show forest plot

4

13310

Risk Ratio (M‐H, Fixed, 95% CI)

0.84 [0.64, 1.12]

2.1 Without LLINs

1

897

Risk Ratio (M‐H, Fixed, 95% CI)

0.78 [0.53, 1.16]

2.2 With LLINs

3

12413

Risk Ratio (M‐H, Fixed, 95% CI)

0.91 [0.60, 1.38]

3 Clinical malaria caused by Plasmodium vivax Show forest plot

2

3996

Risk Ratio (M‐H, Fixed, 95% CI)

1.32 [0.99, 1.76]

3.1 Without LLINs

1

869

Risk Ratio (M‐H, Fixed, 95% CI)

1.42 [1.02, 1.99]

3.2 With LLINs

1

3127

Risk Ratio (M‐H, Fixed, 95% CI)

1.11 [0.64, 1.94]

4 Plasmodium vivax parasitaemia Show forest plot

3

9589

Risk Ratio (M‐H, Fixed, 95% CI)

1.08 [0.81, 1.43]

4.1 Without LLINs

1

897

Risk Ratio (M‐H, Fixed, 95% CI)

0.98 [0.68, 1.40]

4.2 With LLINs

2

8692

Risk Ratio (M‐H, Fixed, 95% CI)

1.24 [0.78, 1.97]

5 Anaemia Show forest plot

1

587

Risk Ratio (M‐H, Fixed, 95% CI)

1.06 [0.91, 1.23]

6 All‐cause fever Show forest plot

1

3496

Risk Ratio (M‐H, Fixed, 95% CI)

0.44 [0.35, 0.55]

7 Adherence to the intervention Show forest plot

Other data

No numeric data

8 Adverse events Show forest plot

Other data

No numeric data

Figuras y tablas -
Comparison 1. Topical repellent compared to placebo or no treatment
Comparison 2. ITC compared to placebo or no treatment

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Clinical malaria caused by Plasmodium falciparum Show forest plot

2

Risk Ratio (Fixed, 95% CI)

0.49 [0.29, 0.83]

2 Clinical malaria caused by Plasmodium vivax Show forest plot

2

Risk Ratio (Fixed, 95% CI)

0.64 [0.40, 1.01]

3 Adverse events Show forest plot

Other data

No numeric data

Figuras y tablas -
Comparison 2. ITC compared to placebo or no treatment
Comparison 3. Spatial repellents compared to placebo or no treatment

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Plasmodium spp. parasitaemia Show forest plot

2

Risk Ratio (Random, 95% CI)

0.24 [0.03, 1.72]

2 Adherence to the intervention Show forest plot

Other data

No numeric data

3 Reduction in mosquito bites Show forest plot

1

16

Mean Difference (IV, Fixed, 95% CI)

‐10.8 [‐16.23, ‐5.37]

4 Adverse events Show forest plot

Other data

No numeric data

Figuras y tablas -
Comparison 3. Spatial repellents compared to placebo or no treatment