Evidence map›Paper›PMID 42443913›Full record

ArticleMalaria journal2026

Entomological Adaptive Sampling Framework (EASF) for malaria vector surveillance: an economic evaluation of pilot implementation in Ghana and Mozambique.

Anton L V Avanceña, Nicholas W Daniel, Mercy Opiyo, Steven Gowelo, Allison Tatarsky, Luis Jamu, Dulcisária Marrenjo, Samuel K Oppong, Ernest Boampong, Christian Atta-Obeng and 4 more

Abstract read
In one paragraph

Article in Malaria journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Anton L V AvanceñaHealth Outcomes Division, College of Pharmacy, The University of Texas at Austin, 2409 University Ave, PHR 2.112, Austin, TX, 78712, USA. antonlv@utexas.edu.ORCID https://orcid.org/0000-0002-4903-870X
Nicholas W DanielDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
Mercy OpiyoMalaria Elimination Initiative, Institute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, USA.
Steven GoweloMalaria Elimination Initiative, Institute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, USA.
Allison TatarskyMalaria Elimination Initiative, Institute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, USA.
Luis JamuCentro de Investigação em Saúde de Manhiça (CISM), Maputo, Mozambique.
Dulcisária MarrenjoPrograma Nacional de Controlo da Malaria, Ministry of Health, Maputo, Mozambique.
Samuel K OppongNational Malaria Elimination Programme, Public Health Division, Ghana Health Service, Accra, Ghana.
Ernest BoampongNational Malaria Elimination Programme, Public Health Division, Ghana Health Service, Accra, Ghana.
Christian Atta-ObengNational Malaria Elimination Programme, Public Health Division, Ghana Health Service, Accra, Ghana.
Otubea Owusu-AkrofiNational Malaria Elimination Programme, Public Health Division, Ghana Health Service, Accra, Ghana.
Keziah Laurencia MalmNational Malaria Elimination Programme, Public Health Division, Ghana Health Service, Accra, Ghana.
Neil LoboDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
Edward ThomsenMalaria Elimination Initiative, Institute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, USA.

Funding

Bill and Melinda Gates Foundation INV-024346Bill & Melinda Gates Foundation INV-024346Gates Foundation INV-024346Wellcome TrustWellcome Trust 222972/Z/21/Z
6 · The paper itself

Abstract

backgroundEntomological surveillance provides critical information for National Malaria Programs (NMPs), yet there is limited evidence on the cost-effectiveness of alternative sampling approaches. Conventional surveillance often relies on purposive, fixed-site sampling, which may produce biased or non-representative data. To address these limitations, the Entomological Adaptive Sampling Framework (EASF) was developed to optimize sampling strategies based on spatiotemporal vector dynamics. This study evaluates the costs and cost-effectiveness of EASF compared to routine entomological surveillance in Ghana and Mozambique.

methodsWe conducted a cost and cost-effectiveness analysis of EASF using prospective data from pilot implementations in Ghana (July 2023-2024) and Mozambique (September 2022-August 2024). Costs (in current US$) were estimated from a payer perspective through microcosting , categorized by input type and activity. Effectiveness was measured based on collection yields, namely the total number of mosquitoes collected and the average number of mosquitoes per collection. Incremental cost-effectiveness ratios (ICERs) were calculated to compare EASF with routine entomological surveillance.

resultsThe total costs of EASF were $144,688 in Ghana (13 months) and $48,646 in Mozambique (9 months). EASF was associated with higher costs than routine surveillance ($90,004 in Ghana; $22,311 in Mozambique). On average, EASF was associated with 0.75 and 1.12 more mosquitoes per collection in Ghana and Mozambique, respectively. The unit cost of each mosquito collected was lower under EASF ($11.10 vs. $43.65 in Ghana; $54.23 vs. $743.69 in Mozambique). The ICERs of EASF were $4.98 and $30.38 per additional mosquito collected, and $30.23 and $72.76 per increase in the average number of mosquitoes per collection in Ghana and Mozambique, respectively.

conclusionsEASF has the potential to improve the efficiency of entomological surveillance by collecting more mosquitoes at lower costs. Future research should build on these findings by demonstrating the downstream value of improved entomological data on NMP decision-making and malaria transmission. A budget impact analysis should assess the affordability of scaling up EASF.

Indexed as

AnophelesCost-Benefit AnalysisCost-Effectiveness AnalysisEntomologyEpidemiological MonitoringMalariaMosquito VectorsAnimalsGhanaMozambiquePilot ProjectsAdaptive samplingCost-effectivenessEconomic evaluationEntomological surveillance

Identifiers

PMID42443913
PMCPMC13647601

What OpenQuestion holds

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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.