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

Author:

Vasconcelos Andreia12,King Jonathan D3,Nunes-Alves Cláudio1,Anderson Roy456,Argaw Daniel3,Basáñez Maria-Gloria456,Bilal Shakir7,Blok David J8,Blumberg Seth9,Borlase Anna10,Brady Oliver J1112,Browning Raiha13,Chitnis Nakul1415,Coffeng Luc E8,Crowley Emily H1617,Cucunubá Zulma M18,Cummings Derek A T1920,Davis Christopher Neil1617,Davis Emma Louise17,Dixon Matthew456,Dobson Andrew21,Dyson Louise1617,French Michael2223,Fronterre Claudio24,Giorgi Emanuele24,Huang Ching-I1617,Jain Saurabh3,James Ananthu8,Kim Sung Hye3,Kura Klodeta456,Lucianez Ana25,Marks Michael26,Mbabazi Pamela Sabina3,Medley Graham F11,Michael Edwin27,Montresor Antonio3,Mutono Nyamai2829,Mwangi Thumbi S282930,Rock Kat S1617,Saboyá-Díaz Martha-Idalí25,Sasanami Misaki31,Schwehm Markus32,Spencer Simon E F12,Srivathsan Ariktha9,Stawski Robert S33,Stolk Wilma A8,Sutherland Samuel A1634,Tchuenté Louis-Albert Tchuem35,de Vlas Sake J8,Walker Martin436,Brooker Simon J37,Hollingsworth T Déirdre1,Solomon Anthony W3,Fall Ibrahima Socé3

Affiliation:

1. Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Old Road Campus , Oxford , United Kingdom

2. Centre for Global Health Research, Nuffield Department of Medicine, University of Oxford , Old Road Campus, Oxford , United Kingdom

3. Global Neglected Tropical Diseases Programme, World Health Organization , Geneva , Switzerland

4. London Centre for Neglected Tropical Disease Research , London , United Kingdom

5. Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, St Mary's Campus, Imperial College London , London , United Kingdom

6. MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London , London , United Kingdom

7. Department of Biological Sciences, University of Notre Dame , Notre Dame, Indiana , USA

8. Department of Public Health, Erasmus MC, University Medical Center Rotterdam , Rotterdam , The Netherlands

9. Francis I. Proctor Foundation, University of California , San Francisco, California , USA

10. Department of Biology, University of Oxford , Oxford , United Kingdom

11. Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine , London , United Kingdom

12. Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine , London , United Kingdom

13. The Department of Statistics, The University of Warwick , Coventry , United Kingdom

14. Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute , Allschwil , Switzerland

15. University of Basel , Basel , Switzerland

16. Zeeman Institute for System Biology and Infectious Disease Epidemiology Research, The University of Warwick , Coventry , United Kingdom

17. Mathematics Institute, The University of Warwick , Coventry , United Kingdom

18. Departamento de Epidemiología Clínica y Bioestadística, Facultad de Medicina, Universidad Pontificia Javeriana , Bogotá , Colombia

19. Department of Biology, University of Florida , Gainesville, Florida , USA

20. Emerging Pathogens Institute, University of Florida , Gainesville, Florida , USA

21. Department of Ecology and Evolutionary Biology, Princeton University , Princeton, New Jersey , USA

22. Schistosomiasis Control Initiative, Department of Infectious Disease Epidemiology, St Mary's Campus, Imperial College London , London , United Kingdom

23. RTI International, Washington , D.C. , USA

24. CHICAS, Lancaster Medical School, Lancaster University , Lancaster , United Kingdom

25. Communicable Diseases Prevention, Control, and Elimination, Pan American Health Organization , Washington D.C. , USA

26. Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine , London , United Kingdom

27. College of Public Health, University of South Florida , Tampa, Florida , USA

28. Centre for Epidemiological Modelling and Analysis, University of Nairobi , Nairobi , Kenya

29. Paul G. Allen School for Global Health, Washington State University , Pullman, Washington , USA

30. Institute of Immunology and Infection Research, University of Edinburgh , Edinburgh , United Kingdom

31. Lancaster Medical School, Lancaster University , Lancaster , United Kingdom

32. ExploSYS GmbH, Interdisciplinary Institute for Exploratory Systems , Leinfelden-Echterdingen , Germany

33. Institute of Public Health and Wellbeing, School of Health and Social Care, University of Essex , Essex , United Kingdom

34. Warwick Medical School, The University of Warwick , Coventry , United Kingdom

35. Centre for Schistosomiasis and Parasitology, Faculty of Sciences, University of Yaounde , Yaounde , Cameroon

36. Department of Pathobiology and Population Sciences, Royal Veterinary College, University of London , London , United Kingdom

37. Bill & Melinda Gates Foundation , Seattle, Washington , USA

Abstract

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.

Funder

NTD Modelling Consortium

Bill & Melinda Gates Foundation

UK Medical Research Council

UK Foreign, Commonwealth & Development Office

Publisher

Oxford University Press (OUP)

Reference64 articles.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3