Imperial College London
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ProfessorKatharinaHauck

Faculty of Medicine, School of Public Health

Professor in Health Economics
 
 
 
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Contact

 

+44 (0)20 7594 9197k.hauck Website

 
 
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Assistant

 

Ms Julie Middleton +44 (0)20 7594 3284

 
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Location

 

Office 502School of Public HealthWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Schmit:2024:10.7554/eLife.88283,
author = {Schmit, N and Topazian, HM and Pianella, M and Charles, GD and Winskill, P and White, MT and Hauck, K and Ghani, AC},
doi = {10.7554/eLife.88283},
journal = {eLife},
title = {Modeling resource allocation strategies for insecticide-treated bed nets to achieve malaria eradication},
url = {http://dx.doi.org/10.7554/eLife.88283},
volume = {12},
year = {2024}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Schmit,N
AU  - Topazian,HM
AU  - Pianella,M
AU  - Charles,GD
AU  - Winskill,P
AU  - White,MT
AU  - Hauck,K
AU  - Ghani,AC
DO  - 10.7554/eLife.88283
PY  - 2024///
SN  - 2050-084X
TI  - Modeling resource allocation strategies for insecticide-treated bed nets to achieve malaria eradication
T2  - eLife
UR  - http://dx.doi.org/10.7554/eLife.88283
UR  - https://www.ncbi.nlm.nih.gov/pubmed/38329112
UR  - https://elifesciences.org/articles/88283
UR  - http://hdl.handle.net/10044/1/110209
VL  - 12
ER  -
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