Insecticide treated bed net use and elimination of malaria in Sub-Saharan African countries: Assessing the Global Technical Strategy (GTS) using an evolutionary game approach
Laxmi, Tamer Oraby, Michael G Tyshenko, Ina Danquah, Samit, Bhattacharyya

TL;DR
This study uses evolutionary game modeling to analyze insecticide-treated net use and malaria elimination efforts in Sub-Saharan Africa, identifying key factors and strategies to meet future global malaria reduction targets.
Contribution
It introduces an evolutionary game approach to assess malaria control strategies and project future outcomes for Sub-Saharan African countries.
Findings
Most SSA countries failed to meet GTS 2020 goals.
Strategies like increased campaigns and economic aid can improve future achievement prospects.
Model projections highlight key factors influencing malaria elimination success.
Abstract
The WHO 2021 malaria report revealed that its Global Technical Strategy (GTS) 2020 milestones for morbidity and mortality, based on the 2015 baseline, have not been achieved globally -- the world is off-track by 42% and, can be extended up to 91% in 2030. Most of the Sub-Saharan African (SSA) countries failed to achieve GTS 2020 -- only 4 out of 40 highest burden countries met the goals. By fitting evolutionary game modeling to the malaria case and Insecticide-Treated Nets (ITN) usages data, we identify factors contributing to the GTS 2020 failures of 38 SSA countries. We use optimized projection of our model to evaluate further the potential achievement of GTS 2025 and 2030 objectives and discuss strategies for attaining goals in situations where these milestones seem unattainable. Our findings categorize all 38 countries based on the possibility to achieve their future milestone,…
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Taxonomy
TopicsEconomic Growth and Development · Complex Systems and Decision Making · Malaria Research and Control
MethodsGoal-Driven Tree-Structured Neural Model
