Evidence map›Paper›PMID 40068926›Full record

ArticleBMJ global health2025

Evaluating the impact of two next-generation long-lasting insecticidal nets on malaria incidence in Uganda: an interrupted time-series analysis using routine health facility data.

Adrienne Epstein, Samuel Gonahasa, Jane Frances Namuganga, Martha J Nassali, Catherine Maiteki-Sebuguzi, Isaiah Nabende, Katherine Snyman, Joaniter I Nankabirwa, Jimmy Opigo, Martin J Donnelly and 3 more

Abstract read
In one paragraph

Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Impact of Insecticide-Treated Nets onTropical medicine and infectious disease · 2026
    Article
  2. Article
  3. Article
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  5. Article
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

13 authors.

Adrienne EpsteinDepartment of Medicine, University of California San Francisco, San Francisco, California, USA adrienne.epstein@ucsf.edu.ORCID http://orcid.org/0000-0002-8253-6102
Samuel GonahasaInfectious Diseases Research Collaboration, Kampala, Uganda.
Jane Frances NamugangaInfectious Diseases Research Collaboration, Kampala, Uganda.
Martha J NassaliInfectious Diseases Research Collaboration, Kampala, Uganda.
Catherine Maiteki-SebuguziInfectious Diseases Research Collaboration, Kampala, Uganda.
Isaiah NabendeInfectious Diseases Research Collaboration, Kampala, Uganda.
Katherine SnymanInfectious Diseases Research Collaboration, Kampala, Uganda.
Joaniter I NankabirwaInfectious Diseases Research Collaboration, Kampala, Uganda.
Jimmy OpigoNational Malaria Control Division, Republic of Uganda Ministry of Health, Kampala, Uganda.
Martin J DonnellyDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Sarah G StaedkeDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Moses R KamyaInfectious Diseases Research Collaboration, Kampala, Uganda.
Grant DorseyDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2010 to 2026
$29.3M
NIAID NIH HHS U19 AI089674
6 · The paper itself

Abstract

introductionMalaria remains a significant public health challenge globally, particularly in sub-Saharan Africa, where progress has stalled in recent years. Long-lasting insecticidal nets (LLINs) are a critical preventive tool against malaria. This study investigated the effectiveness of newer-generation LLINs following a universal coverage campaign in Uganda.

methodsHealth facility data collected 36 months prior to LLIN distribution and 24 months after LLIN distribution were used from 64 sites that took part in a cluster-randomised trial comparing two newer-generation LLINs (pyrethroid-piperonyl butoxide and pyrethroid-pyriproxyfen). Using an interrupted time-series approach, we compared observed malaria incidence with counterfactual scenarios if no LLINs were distributed, adjusting for precipitation, vegetation, seasonality and care-seeking behaviour. Analyses were also stratified by LLIN type and study-site level estimates of transmission intensity.

resultsOverall, malaria incidence decreased from 827 cases per 1000 person-years in the predistribution period to 538 per 1000 person-years in the postdistribution period. Interrupted time-series analyses estimated a 23% reduction in malaria incidence (incidence rate ratio [IRR]=0.77, 95% CI 0.65 to 0.91) in the first 12 months following distribution relative to what would be expected had no distribution occurred, which was not sustained in the 13-24 month post-distribution period (IRR=0.97, 95% CI 0.75 to 1.28). Findings were similar when stratified by LLIN type. In the first 12 months following distribution, LLIN effectiveness was greater in the high-transmission sites (IRR=0.67, 95% CI 0.54 to 0.86) compared with the medium- (IRR=0.74, 95% CI 0.59 to 0.92) and low-transmission sites (IRR=0.87, 95% CI 0.56 to 1.32).

conclusionThis study demonstrated a modest reduction in malaria incidence following the distribution of newer-generation LLINs that was sustained for only 12 months, highlighting the need for improved strategies to maintain net effectiveness. Adjusting the frequency of universal coverage campaigns based on local malaria transmission intensity may enhance control efforts.

Indexed as

InsecticidesInsecticide-Treated BednetsMalariaMosquito ControlChild, PreschoolHealth FacilitiesHumansIncidenceInterrupted Time Series AnalysisPyrethrinsPyridinesUgandaInsecticidesPyrethrinsPyridinespyriproxyfenGlobal HealthMalariaPublic Health

Identifiers

PMID40068926
PMCPMC11904346

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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.