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Predicted Impact of COVID-19 on Neglected Tropical Disease Programs and the Opportunity for Innovation.
Toor, Jaspreet; Adams, Emily R; Aliee, Maryam; Amoah, Benjamin; Anderson, Roy M; Ayabina, Diepreye; Bailey, Robin; Basáñez, Maria-Gloria; Blok, David J; Blumberg, Seth; Borlase, Anna; Rivera, Rocio Caja; Castaño, María Soledad; Chitnis, Nakul; Coffeng, Luc E; Crump, Ronald E; Das, Aatreyee; Davis, Christopher N; Davis, Emma L; Deiner, Michael S; Diggle, Peter J; Fronterre, Claudio; Giardina, Federica; Giorgi, Emanuele; Graham, Matthew; Hamley, Jonathan I D; Huang, Ching-I; Kura, Klodeta; Lietman, Thomas M; Lucas, Tim C D; Malizia, Veronica; Medley, Graham F; Meeyai, Aronrag; Michael, Edwin; Porco, Travis C; Prada, Joaquin M; Rock, Kat S; Le Rutte, Epke A; Smith, Morgan E; Spencer, Simon E F; Stolk, Wilma A; Touloupou, Panayiota; Vasconcelos, Andreia; Vegvari, Carolin; de Vlas, Sake J; Walker, Martin; Hollingsworth, T Déirdre.
  • Toor J; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.
  • Adams ER; Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
  • Aliee M; Mathematics Institute, University of Warwick, Coventry, United Kingdom.
  • Amoah B; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.
  • Anderson RM; Centre for Health Informatics, Computing and Statistics, Lancaster University, Lancaster, United Kingdom.
  • Ayabina D; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
  • Bailey R; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.
  • Basáñez MG; The DeWorm3 Project, Natural History Museum, London, United Kingdom.
  • Blok DJ; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.
  • Blumberg S; Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Borlase A; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
  • Rivera RC; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.
  • Castaño MS; Department of Public Health, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Chitnis N; Francis I Proctor Foundation, University of California, San Francisco, California, United States of America.
  • Coffeng LE; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.
  • Crump RE; Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, United States of America.
  • Das A; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • Davis CN; University of Basel, Basel, Switzerland.
  • Davis EL; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • Deiner MS; University of Basel, Basel, Switzerland.
  • Diggle PJ; Department of Public Health, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Fronterre C; Mathematics Institute, University of Warwick, Coventry, United Kingdom.
  • Giardina F; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.
  • Giorgi E; The School of Life Sciences, University of Warwick, Coventry, United Kingdom.
  • Graham M; Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • Hamley JID; University of Basel, Basel, Switzerland.
  • Huang CI; Mathematics Institute, University of Warwick, Coventry, United Kingdom.
  • Kura K; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.
  • Lietman TM; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.
  • Lucas TCD; Francis I Proctor Foundation, University of California, San Francisco, California, United States of America.
  • Malizia V; Department of Ophthalmology, University of California, San Francisco, California, United States of America.
  • Medley GF; Centre for Health Informatics, Computing and Statistics, Lancaster University, Lancaster, United Kingdom.
  • Meeyai A; Centre for Health Informatics, Computing and Statistics, Lancaster University, Lancaster, United Kingdom.
  • Michael E; Department of Public Health, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.
  • Porco TC; Centre for Health Informatics, Computing and Statistics, Lancaster University, Lancaster, United Kingdom.
  • Prada JM; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.
  • Rock KS; Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Le Rutte EA; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
  • Smith ME; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.
  • Spencer SEF; Mathematics Institute, University of Warwick, Coventry, United Kingdom.
  • Stolk WA; Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, University of Warwick, Coventry, United Kingdom.
  • Touloupou P; London Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
  • Vasconcelos A; Medical Research Council Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom.
  • Vegvari C; Francis I Proctor Foundation, University of California, San Francisco, California, United States of America.
  • de Vlas SJ; Department of Ophthalmology, University of California, San Francisco, California, United States of America.
  • Walker M; Department of Epidemiology & Biostatistics, University of California, San Francisco, California, United States of America.
  • Hollingsworth TD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.
Clin Infect Dis ; 72(8): 1463-1466, 2021 04 26.
Article in English | MEDLINE | ID: covidwho-1066275
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tropical Medicine / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Clin Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: Cid

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tropical Medicine / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: English Journal: Clin Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article Affiliation country: Cid