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Death tolls of COVID-19: Where come the fallacies and ways to make them more accurate.
Lin, Timothy P H; Wan, Kelvin H; Huang, Suber S; Jonas, Jost B; Hui, David S C; Lam, Dennis S C.
  • Lin TPH; Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
  • Wan KH; Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China.
  • Huang SS; Retina Center of Ohio, Cleveland, OH, USA.
  • Jonas JB; Bascom Palmer Eye Institute, University of Miami, Miami, FL, USA.
  • Hui DSC; Department of Ophthalmology, Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany.
  • Lam DSC; Stanley Ho Center for Emerging Infectious Diseases, Faculty of Medicine, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Glob Public Health ; 15(10): 1582-1587, 2020 10.
Article in English | MEDLINE | ID: covidwho-713736
ABSTRACT
The death toll of the coronavirus disease 2019 (COVID-19) sparked much controversy since its advent in December 2019. Underestimation because of under testing and deaths happening outside the hospitals were important causes. Bold revisions of the diagnostic criteria leading to dramatic changes in death tolls by different governments were observed in attempts to generate more accurate estimates. On the other hand, the influence, censorship and manipulation on case and death data from top political leaders of some countries could create important impacts on the death toll. Baseline mortality data of previous years may help make more accurate estimates of the actual death toll. The pitfalls and strategies during such processes could become valuable lessons to leaders and policymakers worldwide as more accurate statistics serve to navigate policies to combat this pandemic in the days and months to come.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Data Accuracy Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Glob Public Health Journal subject: Public Health Year: 2020 Document Type: Article Affiliation country: 17441692.2020.1808040

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Data Accuracy Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Glob Public Health Journal subject: Public Health Year: 2020 Document Type: Article Affiliation country: 17441692.2020.1808040