Evidence map›Paper›PMID 38243220›Full record

ArticleMalaria journal2024

Dynamics of malaria vector composition and Plasmodium falciparum infection in mainland Tanzania: 2017-2021 data from the national malaria vector entomological surveillance.

Charles D Mwalimu, Samson Kiware, Rosemary Nshama, Yahya Derua, Pendael Machafuko, Peter Gitanya, Winfred Mwafongo, Jubilate Bernard, Basiliana Emidi, Victor Mwingira and 16 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
22.3field-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.

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

31 citing papers in PubMed, 39 citations in OpenAlex.

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  20. Seasonal variation and interspecies dynamics amongmedRxiv : the preprint server for health sciences · 2025
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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

26 authors at 5 institutions in 3 countries.

Charles D Mwalimu *National Malaria Control Programme (NMCP), Dodoma, United Republic of Tanzania.
Samson Kiware *Ifakara Health Institute (IHI), Dar es Salaam, Tanzania. skiware@ihi.or.tz.
Rosemary NshamaNational Malaria Control Programme (NMCP), Dodoma, United Republic of Tanzania.
Yahya DeruaNational Institute for Medical Research (NIMR), Amani Centre, Muheza, Tanzania.
Pendael MachafukoNational Institute for Medical Research (NIMR), Amani Centre, Muheza, Tanzania.
Peter GitanyaNational Malaria Control Programme (NMCP), Dodoma, United Republic of Tanzania.
Winfred MwafongoNational Malaria Control Programme (NMCP), Dodoma, United Republic of Tanzania.
Jubilate BernardNational Malaria Control Programme (NMCP), Dodoma, United Republic of Tanzania.
Basiliana EmidiNational Institute for Medical Research (NIMR), Mwanza, Tanzania.
Victor MwingiraNational Institute for Medical Research (NIMR), Amani Centre, Muheza, Tanzania.
Robert MalimaNational Institute for Medical Research (NIMR), Amani Centre, Muheza, Tanzania.
Victoria GithuIfakara Health Institute (IHI), Dar es Salaam, Tanzania.
Brian MasanjaIfakara Health Institute (IHI), Dar es Salaam, Tanzania.
Yeromin MlachaIfakara Health Institute (IHI), Dar es Salaam, Tanzania.
Patrick TunguNational Institute for Medical Research (NIMR), Amani Centre, Muheza, Tanzania.
Bilali KabulaNational Institute for Medical Research (NIMR), Amani Centre, Muheza, Tanzania.
Edward SambuNational Institute for Medical Research (NIMR), Amani Centre, Muheza, Tanzania.
Bernard BatenganaNational Institute for Medical Research (NIMR), Amani Centre, Muheza, Tanzania.
Johnson MatowoDepartment of Medical Parasitology and Entomology, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Nicodem GovellaIfakara Health Institute (IHI), Dar es Salaam, Tanzania.
Prosper ChakiIfakara Health Institute (IHI), Dar es Salaam, Tanzania.
Samwel LazaroNational Malaria Control Programme (NMCP), Dodoma, United Republic of Tanzania.
Naomi SerbantezU.S. President's Malaria Initiative, Dar es Salaam, Tanzania.
Jovin KitauWorld Health Organization, Country Office, Dar es Salaam, Tanzania.
Stephen M MagesaPan African Mosquito Control Association (PAMCA), Dar es Salaam, Tanzania.
William N KisinzaNational Institute for Medical Research (NIMR), Amani Centre, Muheza, Tanzania.
National Institute for Medical Research · TZIfakara Health Institute · TZAfrican Malaria Network Trust · TZKilimanjaro Christian Medical Centre · TZUniversity of Dar es Salaam · TZ

Funding

Medical Research Council MR/T008873/1World Health Organization 001
6 · The paper itself

Abstract

backgroundIn 2015, Tanzania National Malaria Control Programme (NMCP) established a longitudinal malaria vector entomological surveillance (MVES). The MVES is aimed at a periodical assessment of malaria vector composition and abundance, feeding and resting behaviours, and Plasmodium falciparum infection in different malaria epidemiological strata to guide the NMCP on the deployment of appropriate malaria vector interventions. This work details the dynamics of malaria vector composition and transmission in different malaria epidemiological strata.

methodsThe MVES was conducted from 32 sentinel district councils across the country. Mosquitoes were collected by the trained community members and supervised by the NMCP and research institutions. Three consecutive night catches (indoor collection with CDC light trap and indoor/outdoor collection using bucket traps) were conducted monthly in three different households selected randomly from two to three wards within each district council. Collected mosquitoes were sorted and morphologically identified in the field. Thereafter, the samples were sent to the laboratory for molecular characterization using qPCR for species identification and detection of P. falciparum infections (sporozoites). ELISA technique was deployed for blood meal analysis from samples of blood-fed mosquitoes to determine the blood meal indices (BMI).

resultsA total of 63,226 mosquitoes were collected in 32 district councils from January 2017 to December 2021. Out of which, 39,279 (62%), 20,983 (33%) and 2964 (5%) were morphologically identified as Anopheles gambiae sensu lato (s.l.), Anopheles funestus s.l., and as other Anopheles species, respectively. Out of 28,795 laboratory amplified mosquitoes, 13,645 (47%) were confirmed to be Anopheles arabiensis, 9904 (34%) as An. funestus sensu stricto (s.s.), and 5193 (19%) as An. gambiae s.s. The combined average entomological inoculation rates (EIR) were 0.46 (95% CI 0.028-0.928) for An. gambiae s.s., 0.836 (95% CI 0.138-1.559) for An. arabiensis, and 0.58 (95% CI 0.165-0.971) for An. funestus s.s. with variations across different malaria transmission strata. Anopheles funestus s.s. and An. arabiensis were predominant in the Lake and South-Eastern zones, respectively, mostly in high malaria transmission areas. Monthly mosquito densities displayed seasonal patterns, with two peaks following the rainy seasons, varying slightly across species and district councils.

conclusionAnopheles arabiensis remains the predominant vector species followed by An. funestus s.s. in the country. Therefore, strengthening integrated vector management including larval source management is recommended to address outdoor transmission by An. arabiensis to interrupt transmission particularly where EIR is greater than the required elimination threshold of less than one (< 1) to substantially reduce the prevalence of malaria infection.

Indexed as

AnophelesMalariaMalaria, FalciparumAnimalsChlorphentermineFeeding BehaviorHumansMosquito VectorsPlasmodium falciparumTanzaniaChlorphentermineN-methylchlorphentermineEntomological inoculation rate (EIR)Integrated vector managementMalaria vectorsSurveillanceTanzania

Identifiers

PMID38243220
PMCPMC10797900
OpenAlexW4391034585

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.