How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases

Gates Open Research

article

Jessica Clark¹  Wilma A. Stolk³  María-Gloria Basáñez⁴  Luc E. Coffeng³  Zulma M. Cucunubá⁴  Matthew A. Dixon⁵  Louise Dyson⁷  Katie Hampson²  Michael Marks⁹  Graham F. Medley^1,11  Timothy M. Pollington¹  Joaquin M. Prada^1,12  Kat S. Rock⁷  Henrik Salje^1,13  Jaspreet Toor⁵  T. Déirdre Hollingsworth¹ 

[1] Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus;Institute of Biodiversity, Animal Health & Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow;Department of Public Health, Erasmus MC, University Medical Center Rotterdam;London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London;MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London;Schistosomiasis Control Initiative Foundation;Mathematics Institute, University of Warwick;School of Life Sciences, University of Warwick;Department of Clinical Research, London School of Hygiene & Tropical Medicine;Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine;Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine;School of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey;Department of Genetics, University of Cambridge

关键词: Mathematical;    Statistical;    Targets;    Public Health;    Elimination;    Transmission;    Cross-cutting;    NTD;   

DOI  :  10.12688/gatesopenres.13327.2

学科分类：电子与电气工程

来源: American Journal Of Pharmtech Research

【 摘 要 】

The World Health Organization recently launched its 2021-2030 roadmap, Ending the Neglect to Attain the Sustainable Development Goals, an updated call to arms to end the suffering caused by neglected tropical diseases. Modelling and quantitative analyses played a significant role in forming these latest goals. In this collection, we discuss the insights, the resulting recommendations and identified challenges of public health modelling for 13 of the target diseases: Chagas disease, dengue, gambiense human African trypanosomiasis (gHAT), lymphatic filariasis (LF), onchocerciasis, rabies, scabies, schistosomiasis, soil-transmitted helminthiases (STH), Taenia solium taeniasis/ cysticercosis, trachoma, visceral leishmaniasis (VL) and yaws. This piece reflects the three cross-cutting themes identified across the collection, regarding the contribution that modelling can make to timelines, programme design, drug development and clinical trials.

【 授权许可】

CC BY