Predicted Impact of COVID-19 on Neglected Tropical Disease Programs and the Opportunity for Innovation-Reference-Cited by-同舟云学术

Predicted Impact of COVID-19 on Neglected Tropical Disease Programs and the Opportunity for Innovation

Published:2020-09-28 Issue:8 Volume:72 Page:1463-1466
ISSN:1058-4838
Container-title:Clinical Infectious Diseases
language:en
Short-container-title:

Author:

Toor Jaspreet¹,Adams Emily R²,Aliee Maryam³⁴,Amoah Benjamin⁵,Anderson Roy M⁶⁷⁸,Ayabina Diepreye¹,Bailey Robin⁹,Basáñez Maria-Gloria⁶⁷,Blok David J¹⁰,Blumberg Seth¹¹,Borlase Anna¹,Rivera Rocio Caja¹²,Castaño María Soledad¹³¹⁴,Chitnis Nakul¹³¹⁴,Coffeng Luc E¹⁰^ORCID,Crump Ronald E³⁴¹⁵,Das Aatreyee¹³¹⁴,Davis Christopher N³⁴,Davis Emma L¹,Deiner Michael S¹¹¹⁶,Diggle Peter J⁵,Fronterre Claudio⁵^ORCID,Giardina Federica¹⁰^ORCID,Giorgi Emanuele⁵,Graham Matthew¹¹⁷,Hamley Jonathan I D⁶⁷,Huang Ching-I³⁴,Kura Klodeta⁶⁷,Lietman Thomas M¹¹¹⁶¹⁸,Lucas Tim C D¹,Malizia Veronica¹⁰,Medley Graham F¹⁷,Meeyai Aronrag¹⁷,Michael Edwin¹²,Porco Travis C¹¹¹⁶¹⁸,Prada Joaquin M¹⁹^ORCID,Rock Kat S³⁴,Le Rutte Epke A¹⁰¹³¹⁴,Smith Morgan E¹²,Spencer Simon E F⁴²⁰,Stolk Wilma A¹⁰,Touloupou Panayiota²⁰,Vasconcelos Andreia¹,Vegvari Carolin⁶⁷,de Vlas Sake J¹⁰,Walker Martin⁶²¹,Hollingsworth T Déirdre¹^ORCID

Affiliation:

1. Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom

2. Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom

3. Mathematics Institute, University of Warwick, Coventry, United Kingdom

4. Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom

5. Centre for Health Informatics, Computing and Statistics, Lancaster University, Lancaster, United Kingdom

6. London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom

7. Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom

8. The DeWorm3 Project, Natural History Museum, London, United Kingdom

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

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

11. Francis I Proctor Foundation, University of California, San Francisco, California, United States of America

12. Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, United States of America

13. Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland

14. University of Basel, Basel, Switzerland

15. The School of Life Sciences, University of Warwick, Coventry, United Kingdom

16. Department of Ophthalmology, University of California, San Francisco, California, United States of America

17. Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, United Kingdom

18. Department of Epidemiology & Biostatistics, University of California, San Francisco, California, United States of America

19. School of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom

20. Department of Statistics, University of Warwick, Coventry, United Kingdom

21. London Centre for Neglected Tropical Disease Research, Department of Pathobiology and Population Sciences, Royal Veterinary College, University of London, Hatfield, Hertfordshire, United Kingdom

Abstract

Abstract Due to the COVID-19 pandemic, many key neglected tropical disease (NTD) activities have been postponed. This hindrance comes at a time when the NTDs are progressing towards their ambitious goals for 2030. Mathematical modelling on several NTDs, namely gambiense sleeping sickness, lymphatic filariasis, onchocerciasis, schistosomiasis, soil-transmitted helminthiases (STH), trachoma, and visceral leishmaniasis, shows that the impact of this disruption will vary across the diseases. Programs face a risk of resurgence, which will be fastest in high-transmission areas. Furthermore, of the mass drug administration diseases, schistosomiasis, STH, and trachoma are likely to encounter faster resurgence. The case-finding diseases (gambiense sleeping sickness and visceral leishmaniasis) are likely to have fewer cases being detected but may face an increasing underlying rate of new infections. However, once programs are able to resume, there are ways to mitigate the impact and accelerate progress towards the 2030 goals.

Funder

Bill and Melinda Gates Foundation

National Institutes of Health

Dutch Research Council

Human African Trypanosomiasis Modelling and Economic Predictions for Policy

UK Department for International Development

European Union

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

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