Your browser doesn't support javascript.
Infection rates of 70% of the population observed within 3 weeks after release of COVID-19 restrictions in Macao, China.
Liang, Jingyi; Liu, Ruibin; He, Wei; Zeng, Zhiqi; Wang, Yangqianxi; Wang, Boyuan; Liang, Lixi; Zhang, Tong; Chen, C L Philip; Chang, ChiWai; Hon, Chitin; Lau, Eric H Y; Yang, Zifeng; Tong, KaLok.
  • Liang J; Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau, China.
  • Liu R; Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau, China.
  • He W; Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau, China.
  • Zeng Z; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, People's Republic of China; Guangzhou key laboratory for clin
  • Wang Y; Respiratory Disease AI Laboratory on Epidemic Intelligence and Medical Big Data Instrument Applications, Macau, China.
  • Wang B; School of Computer Science and Engineering, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau, China.
  • Liang L; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, People's Republic of China.
  • Zhang T; The Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, the School of Computer Science and Engineering, South China University of Technology, Guangzhou, China; The Pazhou Lab, Guangzhou 510335, China.
  • Chen CLP; The Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information, the School of Computer Science and Engineering, South China University of Technology, Guangzhou, China; The Pazhou Lab, Guangzhou 510335, China.
  • Chang C; Faculty of Medicine, Macau University of Science and Technology, Taipa, Macau, China.
  • Hon C; Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macau, China; Guangzhou Laboratory, Guangzhou, Guangdong 510120, People's Republic of China; Respiratory Disease AI Laboratory on Epidemic Intelligence and Medical Big Data Instru
  • Lau EHY; School of Public Health, Li Ka Shing, Faculty of Medicine, The University of Hong Kong, People's Republic of China; Laboratory of Data Discovery for Health, Hong Kong Science Park, Hong Kong, People's Republic of China. Electronic address: ehylau@hku.hk.
  • Yang Z; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, People's Republic of China; Guangzhou key laboratory for clin
  • Tong K; Respiratory Disease AI Laboratory on Epidemic Intelligence and Medical Big Data Instrument Applications, Macau, China. Electronic address: kltong@must.edu.mo.
J Infect ; 86(4): 402-404, 2023 04.
Article in English | MEDLINE | ID: covidwho-2232514

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Asia Language: English Journal: J Infect Year: 2023 Document Type: Article Affiliation country: J.jinf.2023.01.029

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Asia Language: English Journal: J Infect Year: 2023 Document Type: Article Affiliation country: J.jinf.2023.01.029