Evidence map›Paper›PMID 39885514›Full record

ArticleMalaria journal2025

Quantifying the potential value of entomological data collection for programmatic decision-making on malaria control in sub-Saharan African settings.

Nora Schmit, Hillary M Topazian, Matteo Pianella, Giovanni D Charles, Peter Winskill, Penelope A Hancock, Ellie Sherrard-Smith, Katharina Hauck, Thomas S Churcher, Azra C Ghani

Abstract read
In one paragraph

Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

10 authors.

Nora SchmitMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK. n.schmit17@imperial.ac.uk.
Hillary M TopazianMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
Matteo PianellaMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
Giovanni D CharlesMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
Peter WinskillMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
Penelope A HancockMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
Ellie Sherrard-SmithMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
Katharina HauckMRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK.
Thomas S ChurcherMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.
Azra C GhaniMRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.

Funding

Bill and Melinda Gates Foundation OPP1200155Medical Research Council MR/T041986/1MRC Centre for Global Infectious Disease Analysis MR/X020258/1Wellcome TrustWellcome Trust 220900/Z/20/Z
6 · The paper itself

Abstract

backgroundThe availability of many tools for malaria control leads to complex decisions regarding the most cost-effective intervention package based on local epidemiology. Mosquito characteristics influence the impact of vector control, but entomological surveillance is often limited due to a lack of resources in national malaria programmes.

methodsThis study quantified the monetary value of information provided by entomological data collection for programmatic decision-making using a mathematical model of Plasmodium falciparum transmission. The 3-year impact and cost of various intervention packages was simulated in different sub-Saharan African settings, including combinations of scaling-up insecticide-treated nets (ITN), switching to next-generation ITNs, and a treatment and prevention package. The DALYs averted and their net monetary benefit were compared at different cost-effectiveness thresholds and the value of resolving uncertainty in entomological model parameters was calculated.

resultsAcross transmission settings and at cost-effectiveness thresholds over US$170 per DALY averted, the most cost-effective intervention package was switching to and scaling up pyrethroid-pyrrole ITNs combined with the treatment and prevention package. The median expected value of perfect information on the entomological indicators was US$0.05 (range 0.02-0.23) and US$0.17 (range 0.09-1.43) per person at risk at thresholds of US$75 and US$1000 per DALY averted, respectively. This represented less than 2% of the net monetary benefit of implementing the most cost-effective intervention package. Value of information estimates at cost-effectiveness thresholds over US$250 were higher than current investments into entomological monitoring by the US President's Malaria Initiative.

conclusionsThese results suggest that entomological data collection should not delay implementation of interventions with demonstrated efficacy in most settings, but that sustained investments into and use of entomological surveillance are nevertheless worthwhile and have broad value to national malaria programmes.

Indexed as

Data CollectionMalaria, FalciparumMosquito ControlAfrica South of the SaharaAnimalsAnophelesCost-Benefit AnalysisDecision MakingHumansMalariaModels, TheoreticalMosquito VectorsEntomological surveillanceHealth economicsMalariaMathematical modelling

Identifiers

PMID39885514
PMCPMC11780794

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Registered trials

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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.