01838nas a2200229 4500000000100000008004100001260001200042653001200054653001600066653002400082653003200106653001800138100001800156700001800174700002100192245011900213856008600332300001200418490000700430520115700437022001401594 2024 d c04/202410aControl10aElimination10aMathematical models10aNeglected Tropical Diseases10apolicy-making1 aVasconcelos A1 aNunes-Alves C1 aHollingsworth DT00aNew Tools and Nuanced Interventions to Accelerate Achievement of the 2030 Roadmap for Neglected Tropical Diseases. uhttps://academic.oup.com/cid/article-pdf/78/Supplement_2/S77/57334379/ciae070.pdf aS77-S820 v783 a
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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