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Are high-performing health systems resilient against the COVID-19 epidemic?
Legido-Quigley, Helena; Asgari, Nima; Teo, Yik Ying; Leung, Gabriel M; Oshitani, Hitoshi; Fukuda, Keiji; Cook, Alex R; Hsu, Li Yang; Shibuya, Kenji; Heymann, David.
  • Legido-Quigley H; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore. Electronic address: ephhlq@nus.edu.sg.
  • Asgari N; Asia Pacific Observatory on Health Systems and Policies, World Health Organization Regional Office for South-East Asia, New Delhi, India.
  • Teo YY; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
  • Leung GM; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Oshitani H; Tohoku University School of Medicine, Sendai, Japan.
  • Fukuda K; School of Public Health, University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Cook AR; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
  • Hsu LY; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
  • Shibuya K; Institute for Population Health, King's College London, London, UK.
  • Heymann D; London School of Hygiene & Tropical Medicine, London, UK.
Lancet ; 395(10227): 848-850, 2020 03 14.
Article in English | MEDLINE | ID: covidwho-5422
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Population Surveillance / Coronavirus Infections / Communication / Epidemics / Health Information Systems / Health Systems Agencies Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Lancet Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Population Surveillance / Coronavirus Infections / Communication / Epidemics / Health Information Systems / Health Systems Agencies Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Lancet Year: 2020 Document Type: Article