Evidence map›Paper›PMID 30478327›Full record

SynthesisNature communications2018

Systematic review of indoor residual spray efficacy and effectiveness against Plasmodium falciparum in Africa.

Ellie Sherrard-Smith, Jamie T Griffin, Peter Winskill, Vincent Corbel, Cédric Pennetier, Armel Djénontin, Sarah Moore, Jason H Richardson, Pie Müller, Constant Edi and 6 more

2 registry-linked trialsOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 83 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 5 pooled it
13.3field-weighted citation impact, top 1% of its field
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.

NCT04230161 completednot on this mapstarted 2020, after this paper: background citation

Estimating the Malaria Prevention Impact of New Nets: Observational Analyses to Evaluate the Evidence Generated During Piloted New Net Distributions in Rwanda

TypeobservationalSponsorPATHRan2020 to 2022Enrolled3,502ConditionsMalariaArmsStandard long-lasting insecticidal net, Chlorfenapyr insecticide treated net, Indoor residual spraying
NCT04716387 completednot on this mapstarted 2020, after this paper: background citation

Estimating the Malaria Prevention Impact of New Nets: Observational Analyses to Evaluate the Evidence Generated During Piloted New Net Distributions in Mozambique

TypeobservationalSponsorPATHRan2020 to 2022Enrolled8,726ConditionsMalariaArmsStandard LLIN, Piperonyl butoxide ITN, Pyriproxyfen ITN, Chlorfenapyr ITN
3 · Its place in the literature

Who cites it

83 citing papers in PubMed, 5 syntheses or guidelines pooled it, 146 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Mosquito feeding behavior and how it influences residual malaria transmission across Africa.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Pooled it
  6. Trial
  7. Trial
  8. Article
  9. Review
  10. Article
  11. Article
  12. Mechanisms of carbamate resistance in the malaria vector:Parasite epidemiology and control · 2026
    Review
  13. Article
  14. Susceptibility ofCurrent research in parasitology & vector-borne diseases · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

23 more citing papers are in PubMed but not listed here.

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

16 authors at 11 institutions in 7 countries.

Ellie Sherrard-SmithMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London, W2 1PG, UK. e.sherrard-smith@imperial.ac.uk.
Jamie T GriffinSchool of Mathematical Sciences, Queen Mary University of London, Mile End Road, London, E1 4NS, UK.
Peter WinskillMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London, W2 1PG, UK.
Vincent CorbelInstitut de Recherche pour le Développement (IRD), Maladies Infectieuses et Vecteurs, Ecologie, Génétique, Evolution et Contrôle (MIVEGEC), University of Montpellier, 34393, Montpellier Cedex 5, France.
Cédric PennetierInstitut de Recherche pour le Développement (IRD), Maladies Infectieuses et Vecteurs, Ecologie, Génétique, Evolution et Contrôle (MIVEGEC), University of Montpellier, 34393, Montpellier Cedex 5, France.
Armel DjénontinFaculté des Sciences et Techniques, Université d'Abomey-Calavi, Cotonou, Benin.
Sarah MooreEpidemiology and Public Health Department, Swiss Tropical and Public Health Institute, Socinstrasse 57, PO Box, 4002, Basel, Switzerland.
Jason H RichardsonInnovative Vector Control Consortium, Pembroke Place, Liverpool, L3 5QA, UK.
Pie MüllerEpidemiology and Public Health Department, Swiss Tropical and Public Health Institute, Socinstrasse 57, PO Box, 4002, Basel, Switzerland.ORCID http://orcid.org/0000-0003-0181-5781
Constant EdiCentre Suisse de Recherches Scientifiques en Cote d'Ivoire, Abidjan 01, BP 1303, Abidjan, Côte d'Ivoire.
Natacha ProtopopoffDepartment of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Richard OxboroughPMI VectorLink Project, Abt Associates, 6130 Executive Boulevard, Rockville, MD, 20852, USA.
Fiacre AgossaCentre de Recherche Entomologique de Cotonou (CREC), Cotonou, Benin.
Raphael N'GuessanDepartment of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Mark RowlandDepartment of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Thomas S ChurcherMRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London, W2 1PG, UK.ORCID http://orcid.org/0000-0002-8442-0525
Imperial College London · GBUniversity of London · GBUniversité de Montpellier · FRAidjan-Lagos Corridor Organization · BJIfakara Health Institute · TZInnovative Vector Control Consortium · GBQueen Mary University of London · GBSwiss Centre for Scientific Research · CISwiss Tropical and Public Health Institute · CHUniversité d'Abomey-Calavi · BJVector (United States) · US

Funding

Medical Research Council G1002284Medical Research Council MR/L004437/1Medical Research Council MR/R006040/1Medical Research Council MR/R015600/1Wellcome Trust
6 · The paper itself

Abstract

Indoor residual spraying (IRS) is an important part of malaria control. There is a growing list of insecticide classes; pyrethroids remain the principal insecticide used in bednets but recently, novel non-pyrethroid IRS products, with contrasting impacts, have been introduced. There is an urgent need to better assess product efficacy to help decision makers choose effective and relevant tools for mosquito control. Here we use experimental hut trial data to characterise the entomological efficacy of widely-used, novel IRS insecticides. We quantify their impact against pyrethroid-resistant mosquitoes and use a Plasmodium falciparum transmission model to predict the public health impact of different IRS insecticides. We report that long-lasting IRS formulations substantially reduce malaria, though their benefit over cheaper, shorter-lived formulations depends on local factors including bednet use, seasonality, endemicity and pyrethroid resistance status of local mosquito populations. We provide a framework to help decision makers evaluate IRS product effectiveness.

Indexed as

AfricaAnimalsCulicidaeInsecticidesInsecticide-Treated BednetsMalariaPlasmodium falciparumPublic HealthPyrethrinsRandomized Controlled Trials as TopicTime FactorsInsecticidesPyrethrins

Identifiers

PMID30478327
PMCPMC6255894
OpenAlexW2901830370

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.