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[Progress in research of epidemiology of 2019-nCoV reinfection].
Liao, C X; Wang, B; Lyu, J; Li, L M.
  • Liao CX; School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China.
  • Wang B; Peking University Health Science Center Meinian Public Health Institute, Beijing 100191, China.
  • Lyu J; School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China.
  • Li LM; School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 44(3): 360-366, 2023 Mar 10.
Article in Chinese | MEDLINE | ID: covidwho-2289685
ABSTRACT
Continuous evolution of Omicron variant of 2019-nCoV has resulted in a rapid and simultaneous emergences of novel sub-variants with increased immune escape ability, higher reinfection risk and shorter time interval between infections. Compared with the first infection, the reinfection would still pose exceed risk to people's health although the clinical manifestations of the reinfection might be milder and the risk for severe illness or death is lower. The reinfection is highly associated with people's vaccination status, immunity level, age, working and residential factors. Those who have not received 2019-nCoV vaccination, the elderly and those with comorbidities, especially the previous 2019-nCoV patients with severe/critical illness, are at high risk for the reinfection. Booster doses of vaccine might play an additional role in the prevention of the reinfection and severe illness on the basis of natural immunity.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines / Variants Limits: Aged / Humans Language: Chinese Journal: Zhonghua Liu Xing Bing Xue Za Zhi Year: 2023 Document Type: Article Affiliation country: Cma.j.cn112338-20230110-00022

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Topics: Vaccines / Variants Limits: Aged / Humans Language: Chinese Journal: Zhonghua Liu Xing Bing Xue Za Zhi Year: 2023 Document Type: Article Affiliation country: Cma.j.cn112338-20230110-00022