Your browser doesn't support javascript.
loading
Assessing effects of reopening policies on COVID-19 pandemic in Texas with a data-driven transmission model.
Yu, Duo; Zhu, Gen; Wang, Xueying; Zhang, Chenguang; Soltanalizadeh, Babak; Wang, Xia; Tang, Sanyi; Wu, Hulin.
Affiliation
  • Yu D; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, Houston, USA.
  • Zhu G; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, Houston, USA.
  • Wang X; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, Houston, USA.
  • Zhang C; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, Houston, USA.
  • Soltanalizadeh B; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, Houston, USA.
  • Wang X; School of Mathematics and Information Science, Shaanxi Normal University, Xi'an, PR China.
  • Tang S; School of Mathematics and Information Science, Shaanxi Normal University, Xi'an, PR China.
  • Wu H; Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, Houston, USA.
Infect Dis Model ; 6: 461-473, 2021.
Article in En | MEDLINE | ID: mdl-33644499
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Infect Dis Model Year: 2021 Document type: Article Affiliation country: United States Country of publication: China
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Infect Dis Model Year: 2021 Document type: Article Affiliation country: United States Country of publication: China