Evidence map›Paper›PMID 36635658›Full record

ArticleMalaria journal2023

Unravelling the impact of insecticide-treated bed nets on childhood malaria in Malawi.

Julie-Anne A Tangena, Donnie Mategula, Luigi Sedda, Peter M Atkinson

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Article in Malaria journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

4 authors.

Julie-Anne A TangenaVector Biology Department, Liverpool School of Tropical Medicine, Liverpool, UK. Julie-anne.tangena@lstmed.ac.uk.
Donnie MategulaVector Biology Department, Liverpool School of Tropical Medicine, Liverpool, UK.
Luigi SeddaLancaster Ecology and Epidemiology Group, Lancaster University, Lancaster, UK.
Peter M AtkinsonLancaster Environment Centre, Lancaster University, Bailrigg, Lancaster, LA1 4YR, UK.

Funding

Academy of Medical Sciences GCRFNGR7/1329Medical Research Council MR/T031743/1Wellcome Trust 212501/Z/18/Z
6 · The paper itself

Abstract

backgroundTo achieve malaria elimination it is essential to understand the impact of insecticide-treated net (ITNs) programmes. Here, the impact of ITN access and use on malaria prevalence in children in Malawi was investigated using Malaria Indicator Survey (MIS) data.

methodsMIS data from 2012, 2014 and 2017 were used to investigate the relationship between malaria prevalence in children (6-59 months) and ITN use. Generalized linear modelling (GLM), geostatistical mixed regression modelling and non-stationary GLM were undertaken to evaluate trends, spatial patterns and local dynamics, respectively.

resultsMalaria prevalence in Malawi was 27.1% (95% CI 23.1-31.2%) in 2012 and similar in both 2014 (32.1%, 95% CI 25.5-38.7) and 2017 (23.9%, 95% CI 20.3-27.4%). ITN coverage and use increased during the same time period, with household ITN access growing from 19.0% (95% CI 15.6-22.3%) of households with at least 1 ITN for every 2 people sleeping in the house the night before to 41.7% (95% CI 39.1-44.4%) and ITN use from 41.1% (95% CI 37.3-44.9%) of the population sleeping under an ITN the previous night to 57.4% (95% CI 55.0-59.9%). Both the geostatistical and non-stationary GLM regression models showed child malaria prevalence had a negative association with ITN population access and a positive association with ITN use although affected by large uncertainties. The non-stationary GLM highlighted the spatital heterogeneity in the relationship between childhood malaria and ITN dynamics across the country.

conclusionMalaria prevalence in children under five had a negative association with ITN population access and a positive association with ITN use, with spatial heterogeneity in these relationships across Malawi. This study presents an important modelling approach that allows malaria control programmes to spatially disentangle the impact of interventions on malaria cases.

Indexed as

Insecticide-Treated BednetsMalariaChildFamily CharacteristicsHumansMalawiMosquito ControlSurveys and QuestionnairesBed net useInsecticide-treated bed netMalaria indicator surveyMalawi

Identifiers

PMID36635658
PMCPMC9837906

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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.