Modeling resource allocation strategies for insecticide-treated bed nets to achieve malaria eradication
© 2023, Schmit, Topazian, Pianella et al..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:12 |
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| Enthalten in: |
eLife - 12(2024) vom: 08. Feb. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Schmit, Nora [VerfasserIn] |
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| Links: |
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| Themen: |
Epidemiology |
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| Anmerkungen: |
Date Completed 14.02.2024 Date Revised 23.03.2024 published: Electronic Citation Status MEDLINE |
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| doi: |
10.7554/eLife.88283 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM368183440 |
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| 520 | |a © 2023, Schmit, Topazian, Pianella et al. | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a epidemiology | |
| 650 | 4 | |a eradication | |
| 650 | 4 | |a funding allocation | |
| 650 | 4 | |a global health | |
| 650 | 4 | |a malaria | |
| 650 | 4 | |a mathematical modeling | |
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| 650 | 4 | |a optimization | |
| 700 | 1 | |a Topazian, Hillary M |e verfasserin |4 aut | |
| 700 | 1 | |a Pianella, Matteo |e verfasserin |4 aut | |
| 700 | 1 | |a Charles, Giovanni D |e verfasserin |4 aut | |
| 700 | 1 | |a Winskill, Peter |e verfasserin |4 aut | |
| 700 | 1 | |a White, Michael T |e verfasserin |4 aut | |
| 700 | 1 | |a Hauck, Katharina |e verfasserin |4 aut | |
| 700 | 1 | |a Ghani, Azra C |e verfasserin |4 aut | |
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