Evidence map›Paper›PMID 41913212›Full record

ArticleMalaria journal2026

Nationally representative programmatic surveillance of mosquito and human behaviours that influence human exposure to malaria transmission and the impact of vector control across Tanzania.

Maneno E Baravuga, Praise Michael, Fadhila Kihwele, Brian Masanja, Selemani Mmbaga, Amos T Mlalwe, Isaac Haggai Namango, Alanna-Jo McCallum, Nosrat Mirzai, Charles D Mwalimu and 5 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
–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

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

15 authors.

Maneno E Baravuga *Department of Environmental and Ecological Sciences, Ifakara Health Institute, Dar Es Salaam, Tanzania.
Praise Michael *Department of Environmental and Ecological Sciences, Ifakara Health Institute, Dar Es Salaam, Tanzania.
Fadhila KihweleDepartment of Environmental and Ecological Sciences, Ifakara Health Institute, Dar Es Salaam, Tanzania.
Brian MasanjaDepartment of Environmental and Ecological Sciences, Ifakara Health Institute, Dar Es Salaam, Tanzania.
Selemani MmbagaDepartment of Environmental and Ecological Sciences, Ifakara Health Institute, Dar Es Salaam, Tanzania.
Amos T MlalweDepartment of Environmental and Ecological Sciences, Ifakara Health Institute, Dar Es Salaam, Tanzania.
Isaac Haggai NamangoDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
Alanna-Jo McCallumSchool of Biodiversity, One Health & Veterinary Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK.
Nosrat MirzaiBioelectronics Unit, University of Glasgow, Graham Kerr Building, Glasgow, UK.
Charles D MwalimuNational Malaria Control Programme, Dodoma, Tanzania.
Samwel LazaroNational Malaria Control Programme, Dodoma, Tanzania.
Gerry F KilleenSchool of Biological Earth and Environmental Sciences, University College Cork, Cork, Republic of Ireland.
Samson KiwareDepartment of Environmental and Ecological Sciences, Ifakara Health Institute, Dar Es Salaam, Tanzania.
Heather M FergusonSchool of Biodiversity, One Health & Veterinary Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK.
Nicodem J GovellaDepartment of Environmental and Ecological Sciences, Ifakara Health Institute, Dar Es Salaam, Tanzania. govella@ihi.or.tz.

Funding

This project was jointly funded by the UK Medical Research Council (MRC) and the UK Foreign, Commonwealth and Development Office (FCDO) under the MRC/FCDO Concordat agreement, which is part of the EDCTP2 programme supported by the European Union through the African Research Leaders Award Grant Ref: MR/T008873/1
6 · The paper itself

Abstract

backgroundIntegrated entomological and anthropological surveillance of interacting mosquito and human behaviours is critical for understanding malaria transmission risks and for tailoring intervention packages, but it is yet to be implemented at scale due to a lack of practical, affordable procedures for nationally representative monitoring. This study in Tanzania introduces and field-tests the first such scalable framework design and reports summaries of the earliest data generated, thus demonstrating its feasibility and utility for generating programmatically informative indicators of both mosquito and human behaviours.

methodsA single village was randomly selected from each of twenty-five ecologically and epidemiologically diverse sentinel districts distributed across Tanzania for simultaneous surveys of malaria vector and human behaviours, using a rolling cross-sectional design. Entomological and anthropological surveys were repeated approximately annually over three years, with each village surveyed on three separate occasions across wet and dry seasons to account for temporal variations between sites due to seasons. Mosquito electrocuting traps (MET) were employed for sampling mosquitoes both indoors and outdoors with human behaviour surveyed by standard questionnaire.

resultsEntomological and anthropological indicators were successfully and simultaneously measured in all 25 sentinel districts. Anopheles arabiensis was widespread across the country, whilst Anopheles gambiae s.s. and Anopheles funestus s.s. were more localized. Despite being collected in small numbers, blood-fed An. funestus s.s. and An. gambiae s.s. were predominantly human-fed, whereas An. arabiensis, An. quadriannulatus and An. leesoni fed predominantly on cattle. Higher proportions of host-seeking An. arabiensis were caught outdoors (64.9%) than An. gambiae s.s. (58.4%) or An. funestus s.s. (42.4%). Across all age groups, people were more likely to be outdoors during the early evening hours (18:00 to 21:00), with the highest proportions observed among adolescents (13-17 years) and adults (≥ 18 years) compared to under-fives (0-5 years) and children (6-12 years). Adolescent males were less likely to use bednet relative to other demographic groups. Higher temperatures were associated with reduced reported bednet use during the dry season but not during the wet season.

conclusionThis national surveillance framework proved highly effective for measuring relevant metrics of mosquito and human behaviours that can inform optimization of malaria control strategies.

Indexed as

AnophelesMalariaMosquito ControlMosquito VectorsAdolescentAdultAnimalsChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantMaleMiddle AgedTanzaniaEntomologyHuman behavioursMalaria transmissionMalaria vector behaviourOutdoor exposureVector controlVector surveillance

Identifiers

PMID41913212
PMCPMC13169874

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.