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Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024

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

СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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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

Аннотация

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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты