Are high-performing health systems resilient against the COVID-19 epidemic?
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Measures taken to handle the covid-19 pandemic varied substantially across countries.
“Measures taken to handle the covid-19 pandemic have also varied substantially across countries.”
From Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries (2021) · cites this paper as [4]
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Saulnier, D. D., Duchenko, A., Ottilie‐Kovelman, S., Tediosi, F., & Blanchet, K. (2022) · International Journal of Health Policy and Management · doi:10.34172/ijhpm.2022.6659 · Cited by 40 · see citing works
Khan, M. S., Dar, O. A., Erondu, N. A., Rahman-Shepherd, A., Hollmann, L., Ihekweazu, C. A., Ukandu, O., Agogo, E., Ikram, A., Rathore, T. R., et al. (2020) · BMJ Global Health · doi:10.1136/bmjgh-2020-002830 · Cited by 40 · see citing works
On the Frontline—A bibliometric Study on Sustainability, Development, Coronaviruses, and COVID-19
Gatto, A., Drago, C., & Ruggeri, M. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-18396-0 · Cited by 40 · see citing works
COVID-19 Pandemic: An Opportunity for Universal Health Coverage
Ranabhat, C. L., Jakovljević, M., Kim, C.-B., & Simkhada, P. P. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.673542 · Cited by 39 · see citing works
The COVID-19 System Shock Framework: Capturing Health System Innovation During the COVID-19 Pandemic
Hodgins, M., van Leeuwen, D., Braithwaite, J., Hanefeld, J., Wolfe, I., Lau, C., Dickins, E., McSweeney, J., McCaskill, M. E., & Lingam, R. (2021) · International Journal of Health Policy and Management · doi:10.34172/ijhpm.2021.130 · Cited by 38 · see citing works
Lessons Learned From the Resilience of Chinese Hospitals to the COVID-19 Pandemic: Scoping Review
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Analysis of Excess All-Cause Mortality and COVID-19 Mortality in Peru: Observational Study
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- Authors
- Legido-Quigley, H., Asgari, N., Teo, Y. Y., Leung, G. M., Oshitani, H., Fukuda, K., Cook, A. R., Hsu, L. Y., Shibuya, K., & Heymann, D.
- Affiliations
- National University of Singapore (SG)
- University of Hong Kong (HK)
- Tohoku University (JP)
- King's College London (GB)
- London School of Hygiene & Tropical Medicine (GB)
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 395
- Issue
- 10227
- Pages
- 848-850
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC7124523
- OpenAlex
- W3009409260
- Cited by
- 563
- References
- 6
- Citations by year
- 2026: 27 · 2025: 24 · 2024: 56 · 2023: 51 · 2022: 91 · 2021: 160 · 2020: 153 · 2019: 1
- FWCI
- 118.77
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Lancet (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion)
- Funders
- World Health Organization
- Japan Society for the Promotion of Science (19K24679)
- Topics
- Health Sciences › Health Professions › General Health Professions › Healthcare Systems and Practices
- Health Sciences › Health Professions › General Health Professions › Healthcare Systems and Challenges
- Health Sciences › Medicine › Oncology › COVID-19 and healthcare impacts
- Keywords
- COVID-19 pandemic, health system resilience, health system performance, pandemic response, containment strategies, community transmission, health system adaptation, Hong Kong, Singapore, Japan
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Civil Defense, Communication, Health Systems Agencies, Humans, Interinstitutional Relations, Pneumonia, Viral, Politics, Population Surveillance, Risk, Travel, Global Health, Coronavirus Infections, Epidemics, Healthcare Financing, Health Information Systems
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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