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Assessing the potential impact of COVID-19 Omicron variant: Insight through a fractional piecewise model.
Li, Xiao-Ping; DarAssi, Mahmoud H; Khan, Muhammad Altaf; Chukwu, C W; Alshahrani, Mohammad Y; Shahrani, Mesfer Al; Riaz, Muhammad Bilal.
Afiliación
  • Li XP; School of Mathematics and Information Science, Xiangnan University, Chenzhou, 423000, Hunan, PR China.
  • DarAssi MH; Department of Basic Sciences, Princess Sumaya University for Technology, Amman 11941, Jordan.
  • Khan MA; Institute for Ground Water Studies, Faculty of Natural and Agricultural Sciences, University of the Free State, South Africa.
  • Chukwu CW; Division of Infectious Diseases and Global Public Health, University of California, San Diego, CA, USA.
  • Alshahrani MY; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, P.O. Box 61413, Abha, 9088, Saudi Arabia.
  • Shahrani MA; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, P.O. Box 61413, Abha, 9088, Saudi Arabia.
  • Riaz MB; Department of Automation, Biomechanics and Mechatronics, Lodz University of Technology, 1/15 Stefanowskiego St., 90-924 Lodz, Poland.
Results Phys ; 38: 105652, 2022 Jul.
Article en En | MEDLINE | ID: mdl-35663799

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Results Phys Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Results Phys Año: 2022 Tipo del documento: Article