Evidence map›Paper›PMID 40559742›Full record

ArticleTropical medicine and infectious disease2025

Persistence of Untreated Bed Nets in the Retail Market in Tanzania: A Cross-Sectional Survey.

Benjamin Kamala, Dana Loll, Ruth Msolla, David Dadi, Peter Gitanya, Charles Mwalimu, Frank Chacky, Stella Kajange, Mwinyi Khamis, Sarah-Blythe Ballard and 2 more

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2025. 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

12 authors.

Benjamin KamalaPMI Vector Control Project, Johns Hopkins University Center for Communication Programs, Dar es Salaam 14113, Tanzania.ORCID 0000-0002-8969-2685
Dana LollPMI Vector Control Project, Johns Hopkins University Center for Communication Programs, Baltimore, MD 65001, USA.
Ruth MsollaPMI Vector Control Project, Johns Hopkins University Center for Communication Programs, Dar es Salaam 14113, Tanzania.ORCID 0009-0001-1480-9826
David DadiPMI Vector Control Project, Johns Hopkins University Center for Communication Programs, Dar es Salaam 14113, Tanzania.
Peter GitanyaNational Malaria Control Program, Ministry of Health, Dodoma 40478, Tanzania.
Charles MwalimuNational Malaria Control Program, Ministry of Health, Dodoma 40478, Tanzania.
Frank ChackyNational Malaria Control Program, Ministry of Health, Dodoma 40478, Tanzania.ORCID 0000-0002-6521-9156
Stella KajangePresident's Office, Regional Administration and Local Government, Dodoma 41185, Tanzania.
Mwinyi KhamisZanzibar Malaria Elimination Program, Zanzibar 407, Tanzania.
Sarah-Blythe BallardU.S. President's Malaria Initiative, U.S. Centers for Disease Control and Prevention, Dar es Salaam 11102, Tanzania.ORCID 0000-0003-3581-5771
Naomi SerbantezU.S. President's Malaria Initiative, U.S. Agency for International Development, Dar es Salaam 14111, Tanzania.ORCID 0000-0003-0204-7796
Stephen PoyerPMI Vector Control Project, Tropical Health, Baltimore, MD 21205, USA.ORCID 0009-0002-3104-1385

Funding

United States Agency for International Development 72062120C00001
6 · The paper itself

Abstract

The private sector in Tanzania has played an essential role in improving coverage and access to mosquito nets. This follow-up study assessed the overall market share for untreated and insecticide-treated nets (ITNs) and misleading or counterfeit ITN products in commercial markets. This study was conducted from March to April 2024 in ten regions in Tanzania. The study used mixed methods: (1) a quantitative survey among sampled outlets supported by photographic documentation of all net products and (2) key informant interviews of retailers and wholesalers. We assessed the relationship between market share and population access using ANOVA and Pearson correlation. No counterfeit or misleading nets were found, consistent with results from 2017, 2021, and 2022 surveys. Untreated nets dominated all markets, comprising 99% of all products observed and 99% of estimated net sales 3 months before the survey. Legitimate ITNs were crowded out from the studied markets. Leaked nets from free distributions were present but extremely limited (1%) and at their lowest level of the survey rounds. Untreated nets were more expensive than leaked ITNs for both regular- and queen-size nets. Despite ongoing efforts, increasing the share of legitimate ITNs remains a significant challenge in a context of large-scale public sector distributions.

Indexed as

commercial sectorcounterfeitinsecticide-treated netleaked netslegitimate ITNmosquito netretail survey

Identifiers

PMID40559742
PMCPMC12197522

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.