How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases [version 2; peer review: 2 approved]

Michael Marks; Louise Dyson; Wilma A. Stolk; Jessica Clark; Zulma M. Cucunubá; María-Gloria Basáñez; Timothy M. Pollington; Matthew A. Dixon; Kat S. Rock; Luc E. Coffeng; Joaquin M. Prada; Jaspreet Toor; Graham F. Medley; Henrik Salje; T. Déirdre Hollingsworth; Katie Hampson

Gates Open Research (Feb 2022)

How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases [version 2; peer review: 2 approved]

Michael Marks,
Louise Dyson,
Wilma A. Stolk,
Jessica Clark,
Zulma M. Cucunubá,
María-Gloria Basáñez,
Timothy M. Pollington,
Matthew A. Dixon,
Kat S. Rock,
Luc E. Coffeng,
Joaquin M. Prada,
Jaspreet Toor,
Graham F. Medley,
Henrik Salje,
T. Déirdre Hollingsworth,
Katie Hampson

Affiliations

Michael Marks: ORCiD; Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK
Louise Dyson: ORCiD; Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK
Wilma A. Stolk: ORCiD; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands
Jessica Clark: ORCiD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK
Zulma M. Cucunubá: ORCiD; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
María-Gloria Basáñez: ORCiD; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
Timothy M. Pollington: ORCiD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK
Matthew A. Dixon: ORCiD; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
Kat S. Rock: ORCiD; Mathematics Institute, University of Warwick, Coventry, CV4 7AL, UK
Luc E. Coffeng: ORCiD; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, 3000 CA, The Netherlands
Joaquin M. Prada: ORCiD; School of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7AL, UK
Jaspreet Toor: ORCiD; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
Graham F. Medley: ORCiD; Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK
Henrik Salje: Department of Genetics, University of Cambridge, Cambridge, CB2 3EH, UK
T. Déirdre Hollingsworth: ORCiD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF, UK
Katie Hampson: ORCiD; Institute of Biodiversity, Animal Health & Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK

Journal volume & issue: Vol. 5

Abstract

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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.

Published in Gates Open Research

ISSN: 2572-4754 (Online)
Publisher: F1000 Research Ltd
Country of publisher: United Kingdom
LCC subjects: Medicine
Website: https://gatesopenresearch.org/

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