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All-People-Test-Based Methods for COVID-19 Infectious Disease Dynamics Simulation Model: Towards Citywide COVID Testing.
Liu, Xian-Xian; Yang, Jie; Fong, Simon; Dey, Nilanjan; Millham, Richard C; Fiaidhi, Jinan.
Affiliation
  • Liu XX; Department of Computer and Information Science, University of Macau, Taipa, Macau SAR 519000, China.
  • Yang J; Chongqing Industry & Trade Polytechnic, Chongqing 408000, China.
  • Fong S; Department of Computer and Information Science, University of Macau, Taipa, Macau SAR 519000, China.
  • Dey N; Department of Computer Science and Engineering, JIS University, Kolkata 700109, India.
  • Millham RC; ICT & Society Group, Durban University of Technology, Durban 4001, South Africa.
  • Fiaidhi J; e-Health Research Group, Computer Science Department, Lakehead University, Thunder Bay, ON P7B 5E1, Canada.
Int J Environ Res Public Health ; 19(17)2022 09 02.
Article in En | MEDLINE | ID: mdl-36078679
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Communicable Diseases / COVID-19 Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Int J Environ Res Public Health Year: 2022 Document type: Article Affiliation country: China Country of publication: Switzerland
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Communicable Diseases / COVID-19 Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Int J Environ Res Public Health Year: 2022 Document type: Article Affiliation country: China Country of publication: Switzerland