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New Tools and Nuanced Interventions to Accelerate Achievement of the 2030 Roadmap for Neglected Tropical Diseases.
Vasconcelos, Andreia; Nunes-Alves, Cláudio; Hollingsworth, T Déirdre.
Afiliação
  • Vasconcelos A; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.
  • Nunes-Alves C; Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford, United Kingdom.
  • Hollingsworth TD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.
Clin Infect Dis ; 78(Supplement_2): S77-S82, 2024 Apr 25.
Article em En | MEDLINE | ID: mdl-38662694
ABSTRACT
The World Health Organization roadmap for neglected tropical diseases (NTDs) sets out ambitious targets for disease control and elimination by 2030, including 90% fewer people requiring interventions against NTDs and the elimination of at least 1 NTD in 100 countries. Mathematical models are an important tool for understanding NTD dynamics, optimizing interventions, assessing the efficacy of new tools, and estimating the economic costs associated with control programs. As NTD control shifts to increased country ownership and programs progress toward disease elimination, tailored models that better incorporate local context and can help to address questions that are important for decision-making at the national level are gaining importance. In this introduction to the supplement, New Tools and Nuanced Interventions to Accelerate Achievement of the 2030 Roadmap for Neglected Tropical Diseases, we discuss current challenges in generating more locally relevant models and summarize how the articles in this supplement present novel ways in which NTD modeling can help to accelerate achievement and sustainability of the 2030 targets.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medicina Tropical / Organização Mundial da Saúde / Doenças Negligenciadas Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medicina Tropical / Organização Mundial da Saúde / Doenças Negligenciadas Idioma: En Ano de publicação: 2024 Tipo de documento: Article