Modeling resource allocation strategies for insecticide-treated bed nets to achieve malaria eradication
File(s)elife-88283-v1.pdf (6.66 MB)
Published version
Author(s)
Type
Journal Article
Abstract
Large reductions in the global malaria burden have been achieved, but plateauing funding poses a challenge for progressing towards the ultimate goal of malaria eradication. Using previously published mathematical models of Plasmodium falciparum and Plasmodium vivax transmission incorporating insecticide-treated nets (ITNs) as an illustrative intervention, we sought to identify the global funding allocation that maximized impact under defined objectives and across a range of global funding budgets. The optimal strategy for case reduction mirrored an allocation framework that prioritizes funding for high-transmission settings, resulting in total case reductions of 76% and 66% at intermediate budget levels, respectively. Allocation strategies that had the greatest impact on case reductions were associated with lesser near-term impacts on the global population at risk. The optimal funding distribution prioritized high ITN coverage in high-transmission settings endemic for P. falciparum only, while maintaining lower levels in low-transmission settings. However, at high budgets, 62% of funding was targeted to low-transmission settings co-endemic for P. falciparum and P. vivax. These results support current global strategies to prioritize funding to high-burden P. falciparum-endemic settings in sub-Saharan Africa to minimize clinical malaria burden and progress towards elimination, but highlight a trade-off with 'shrinking the map' through a focus on near-elimination settings and addressing the burden of P. vivax.
Date Issued
2024-02-08
Date Acceptance
2023-11-20
Citation
eLife, 2024, 12
ISSN
2050-084X
Publisher
eLife Sciences Publications Ltd
Journal / Book Title
eLife
Volume
12
Copyright Statement
© 2023, Schmit, Topazian, Pianella et al.
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/38329112
Subjects
Africa South of the Sahara
Humans
Insecticide-Treated Bednets
Malaria
Malaria, Falciparum
Malaria, Vivax
epidemiology
eradication
funding allocation
global health
malaria
mathematical modeling
none
optimization
Publication Status
Published
Coverage Spatial
England
Article Number
RP88283
Date Publish Online
2024-02-08