Evidence map›Paper›PMID 35790746›Full record

SynthesisNature communications2022

Inferring the epidemiological benefit of indoor vector control interventions against malaria from mosquito data.

Ellie Sherrard-Smith, Corine Ngufor, Antoine Sanou, Moussa W Guelbeogo, Raphael N'Guessan, Eldo Elobolobo, Francisco Saute, Kenyssony Varela, Carlos J Chaccour, Rose Zulliger and 8 more

Abstract readSystematic Review
In one paragraph

Synthesis in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

  1. Trial
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  4. Review
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  7. Estimating mosquito bionomics parameters with a hierarchical Bayesian model.Current research in parasitology & vector-borne diseases · 2026
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  12. Review
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  16. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Ellie Sherrard-SmithImperial College London, London, UK.ORCID http://orcid.org/0000-0001-8317-7992
Corine NguforCentre de Recherches Entomologiques de Cotonou, Cotonou, Benin.ORCID http://orcid.org/0000-0002-7755-9609
Antoine SanouCentre National de Recherche et de Formation sur le Paludisme, Ouagadougou, Burkina Faso.ORCID http://orcid.org/0000-0002-3598-8800
Moussa W GuelbeogoCentre National de Recherche et de Formation sur le Paludisme, Ouagadougou, Burkina Faso.
Raphael N'GuessanLondon School of Hygiene and Tropical Medicine, London, UK.
Eldo EloboloboCentro de Investigação em Saúde de Manhiça, Manhiça, Mozambique.
Francisco SauteCentro de Investigação em Saúde de Manhiça, Manhiça, Mozambique.
Kenyssony VarelaPMI VectorLink Project, Abt Associates, Maputo, Mozambique.
Carlos J ChaccourISGlobal, Barcelona, Spain.ORCID http://orcid.org/0000-0001-9812-050X
Rose ZulligerUS President's Malaria Initiative, USAID, Washington, DC, USA.
Joseph WagmanPATH, Washington, DC, USA.ORCID http://orcid.org/0000-0002-5178-3098
Molly L RobertsonPATH, Washington, DC, USA.
Mark RowlandLondon School of Hygiene and Tropical Medicine, London, UK.
Martin J DonnellyLiverpool School of Tropical Medicine, Liverpool, UK.ORCID http://orcid.org/0000-0001-5218-1497
Samuel GonahasaInfectious Diseases Research Collaboration, Kampala, Uganda.
Sarah G StaedkeLondon School of Hygiene and Tropical Medicine, London, UK.
Jan KolaczinskiWorld Health Organization, Geneva, Switzerland.
Thomas S ChurcherImperial College London, London, UK. thomas.churcher@imperial.ac.uk.ORCID http://orcid.org/0000-0002-8442-0525

Funding

Medical Research Council MR/R015600/1Medical Research Council MR/T041986/1World Health Organization 001
6 · The paper itself

Abstract

The cause of malaria transmission has been known for over a century but it is still unclear whether entomological measures are sufficiently reliable to inform policy decisions in human health. Decision-making on the effectiveness of new insecticide-treated nets (ITNs) and the indoor residual spraying of insecticide (IRS) have been based on epidemiological data, typically collected in cluster-randomised control trials. The number of these trials that can be conducted is limited. Here we use a systematic review to highlight that efficacy estimates of the same intervention may vary substantially between trials. Analyses indicate that mosquito data collected in experimental hut trials can be used to parameterize mechanistic models for Plasmodium falciparum malaria and reliably predict the epidemiological efficacy of quick-acting, neuro-acting ITNs and IRS. Results suggest that for certain types of ITNs and IRS using this framework instead of clinical endpoints could support policy and expedite the widespread use of novel technologies.

Indexed as

CulicidaeMalariaMosquito ControlAnimalsHumansInsecticidesInsecticide-Treated BednetsMosquito VectorsInsecticides

Identifiers

PMID35790746
PMCPMC9256631

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.