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Accelerating Progress Towards the 2030 Neglected Tropical Diseases Targets: How Can Quantitative Modeling Support Programmatic Decisions?

Authors :
Vasconcelos, Andreia
King, Jonathan D
Nunes-Alves, Cláudio
Anderson, Roy
Argaw, Daniel
Basáñez, Maria-Gloria
Bilal, Shakir
Blok, David J
Blumberg, Seth
Borlase, Anna
Brady, Oliver J
Browning, Raiha
Chitnis, Nakul
Coffeng, Luc E
Crowley, Emily H
Cucunubá, Zulma M
Cummings, Derek A T
Davis, Christopher Neil
Davis, Emma Louise
Dixon, Matthew
Source :
Clinical Infectious Diseases; 2024 Supplement, Vol. 78, pS83-S92, 10p
Publication Year :
2024

Abstract

Over the past decade, considerable progress has been made in the control, elimination, and eradication of neglected tropical diseases (NTDs). Despite these advances, most NTD programs have recently experienced important setbacks; for example, NTD interventions were some of the most frequently and severely impacted by service disruptions due to the coronavirus disease 2019 (COVID-19) pandemic. Mathematical modeling can help inform selection of interventions to meet the targets set out in the NTD road map 2021–2030, and such studies should prioritize questions that are relevant for decision-makers, especially those designing, implementing, and evaluating national and subnational programs. In September 2022, the World Health Organization hosted a stakeholder meeting to identify such priority modeling questions across a range of NTDs and to consider how modeling could inform local decision making. Here, we summarize the outputs of the meeting, highlight common themes in the questions being asked, and discuss how quantitative modeling can support programmatic decisions that may accelerate progress towards the 2030 targets. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10584838
Volume :
78
Database :
Complementary Index
Journal :
Clinical Infectious Diseases
Publication Type :
Academic Journal
Accession number :
176862484
Full Text :
https://doi.org/10.1093/cid/ciae082