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Confronting COVID-19 and Prioritizing Aging Population.
Su, Binbin; Luo, Yannan; Tian, Yaohua; Chen, Chen; Zheng, Xiaoying.
  • Su B; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China.
  • Luo Y; Department of Global Health, School of Public Health, Peking University, Beijing, China.
  • Tian Y; Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Wuhan City, Hubei Province, China.
  • Chen C; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China.
  • Zheng X; School of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China.
China CDC Wkly ; 5(10): 229-233, 2023 Mar 10.
Article in English | MEDLINE | ID: covidwho-2282741
ABSTRACT
Over the past three years, China has implemented rapid, vigorous, and coordinated control measures to limit the spread of coronavirus disease 2019 (COVID-19) effectively. These measures include active containment, graded management, rational resource allocation, rapid contact tracing and disposal, and targeted vaccination of key populations. These efforts have contributed to the prompt and effective control of outbreaks, protecting the health and well-being of older adults. This review provides a comprehensive summary of the changes in China's COVID-19 prevention and control experiences and other public health measures since the outbreak of the pandemic, and assesses their impact on older adults. It may serve as a valuable reference for future epidemic prevention and control efforts.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Qualitative research Topics: Vaccines Language: English Journal: China CDC Wkly Year: 2023 Document Type: Article Affiliation country: Ccdcw2023.042

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Qualitative research Topics: Vaccines Language: English Journal: China CDC Wkly Year: 2023 Document Type: Article Affiliation country: Ccdcw2023.042