Evidence map›Paper›PMID 41382042›Full record

ArticleBMC infectious diseases2025

Insecticide-treated net use and elimination of malaria in Sub-Saharan African countries: assessing the Global Technical Strategy using an evolutionary game approach.

Laxmi, Tamer Oraby, Michael G Tyshenko, Ina Danquah, Samit Bhattacharyya

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Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

LaxmiDisease Modelling Lab, Department of Mathematics, School of Natural Sciences, Shiv Nadar Institution of Eminence, Greater Noida, UP, 201314, India.
Tamer OrabySchool of Mathematical and Statistical Sciences, The University of Texas Rio Grande Valley, Edinburg, TX, 78539, USA.
Michael G TyshenkoRisk Sciences International, Ottawa, ON, K1P 5J6, Canada.
Ina DanquahCenter for Development Research (ZEF), University of Bonn Genscherallee 3, 53113, Bonn, Germany.
Samit BhattacharyyaDisease Modelling Lab, Department of Mathematics, School of Natural Sciences, Shiv Nadar Institution of Eminence, Greater Noida, UP, 201314, India. samit.b@snu.edu.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria continues to be a major public health challenge in Sub-Saharan Africa (SSA), where the majority of the countries have not met the World Health Assembly's endorsed Global Technical Strategy (GTS) milestones in 2020 for malaria reduction. Insecticide-treated net (ITN) usage is a well-established and effective intervention, often outperforming other measures such as indoor residual spraying (IRS). However, multiple survey studies have reported improper use of ITNs across various SSA countries. This misuse likely poses an important barrier to the intervention's success, although it remains a largely untested hypothesis.

methodsWe developed a behaviour-incidence model and statistical analysis of historical malaria case reports and ITN usage data to inform ITN utilization and assess progress toward GTS targets. The analysis was conducted in three phases: 1. pre-estimation; 2. estimation; and 3. projection. By fitting the behaviour-incidence model to malaria case and ITN usage data, we derived country-specific constraints that help explain the varying progress of SSA countries toward GTS objectives. Additionally, we employed clustering analyses and optimisation methods to classify countries and obtain country-specific recommendations to increase ITN usage and reduce malaria cases to achieve 2025 and 2030 GTS milestones.

resultsOur results indicate that countries can be classified into different categories based on the transmission rates, mosquito prevalence, and socioeconomic conditions. We demonstrate that while some countries can meet the GTS 2025 and 2030 targets through their ongoing efforts in ITN usage to control malaria, others require enhanced social awareness campaigns, economic assistance, and improvements in ITN efficacy to achieve success. Our analysis emphasizes that country-specific behavioural interventions are essential for accelerating malaria elimination.

conclusionWhile factors such as demographics, political instability, and climate change influence a country's malaria burden, and interventions like IRS are widely used for control, our research highlights the critical role of human behavioural practices in the proper use of ITNs and provides actionable policy insights to enhance their effectiveness. We emphasize the need for tailored strategies to optimize effective ITN use. Actions include improved ITN availability, effectiveness, and use that when combined with alternative vector control tools, vector behaviours, and shelter types, the effort will contribute greatly to countries achieving GTS malaria elimination targets. CLINICAL TRIAL: Not applicable.

Indexed as

Insecticide-Treated BednetsMalariaMosquito ControlAfrica South of the SaharaAnimalsHumansIncidenceInsecticidesInsecticidesEvolutionary game theoryGlobal technical strategyInsecticide-treated netsMalariaSub-Saharan Africa

Identifiers

PMID41382042
PMCPMC12696903

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LicenceCC BY-NC-ND
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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.