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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

Dobson Andrew

Dyson Louise

French Michael

Fronterre Claudio

Giorgi Emanuele

Huang Ching-I

Jain Saurabh

James Ananthu

Kim Sung Hye

Kura Klodeta

Lucianez Ana

Marks Michael

Mbabazi Pamela Sabina

Medley Graham F

Michael Edwin

Montresor Antonio

Mutono Nyamai

Mwangi Thumbi S

Rock Kat S

Saboyá-Díaz Martha-Idalí

Sasanami Misaki

Schwehm Markus

Spencer Simon E F

Srivathsan Ariktha

Stawski Robert S

Stolk Wilma A

Sutherland Samuel A

Tchuenté Louis-Albert Tchuem

de Vlas Sake J

Walker Martin

Brooker Simon J

Hollingsworth T Déirdre

Solomon Anthony W

Fall Ibrahima Socé

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NTDs

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

Journal Article, Research Support, Non-U.S. Gov't
Published:April 25, 2024
Journal:Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

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.