Accelerating progress towards the 2030 neglected tropical diseases targets: how can quantitative modeling support programmatic decisions?
File(s)
Supporting information
Author(s)
Type
Journal Article
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.
Date Issued
2024-05-15
Date Acceptance
2024-04-01
Citation
Clinical Infectious Diseases, 2024, 78 (Supplement_2), pp.S83-S92
ISSN
1058-4838
Publisher
Oxford University Press
Start Page
S83
End Page
S92
Journal / Book Title
Clinical Infectious Diseases
Volume
78
Issue
Supplement_2
Copyright Statement
© The Author(s) 2024. Published by Oxford University Press on behalf of Infectious Diseases
Society of America.
This is an Open Access article distributed under the terms of the Creative Commons Attribution
License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Society of America.
This is an Open Access article distributed under the terms of the Creative Commons Attribution
License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/38662692
Subjects
COVID-19
Decision Making
Global Health
Humans
Models, Theoretical
Neglected Diseases
SARS-CoV-2
Tropical Medicine
World Health Organization
control
elimination
mathematical models
neglected tropical diseases
policy-making
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2024-04-25