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Autor:
Ge Y; University of Georgia, College of Public Health, Department of Epidemiology and Biostatistics, Athens, Georgia, United States., Chen Z; Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China., Handel A; University of Georgia, College of Public Health, Department of Epidemiology and Biostatistics, Athens, Georgia, United States; University of Georgia, College of Public Health, Health Informatics Institute, Athens, Georgia, United States; University of Georgia, Center for the Ecology of Infectious Diseases, Athens, Georgia, United States., Martinez L; Boston University, School of Public Health, Department of Epidemiology, Boston, Massachusetts, United States., Xiao Q; University of Georgia, Department of Statistics, Athens, Georgia, United States., Li C; University of Georgia, College of Public Health, Department of Epidemiology and Biostatistics, Athens, Georgia, United States; Tulane University, School of Public Health and Tropical Medicine, Department of Epidemiology, New Orleans, Louisiana, United States., Chen E; Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China., Pan J; Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China., Li Y; Renmin University of China, Center for Applied Statistics, Beijing, China; Renmin University of China, School of Statistics, Beijing, China; Renmin University of China, Statistical Consulting Center, Beijing, China. Electronic address: yang.li@ruc.edu.cn., Ling F; Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China. Electronic address: fengl@cdc.zj.cn., Shen Y; University of Georgia, College of Public Health, Department of Epidemiology and Biostatistics, Athens, Georgia, United States. Electronic address: yeshen@uga.edu.
Publikováno v:
Epidemics [Epidemics] 2021 Sep; Vol. 36, pp. 100483. Date of Electronic Publication: 2021 Jul 13.
Autor:
Tyler S. Brown, Kenth Engø-Monsen, Mathew V. Kiang, Ayesha S. Mahmud, Richard J. Maude, Caroline O. Buckee
Publikováno v:
Epidemics
Epidemics, Vol 35, Iss, Pp 100441-(2021)
Epidemics, Vol 35, Iss, Pp 100441-(2021)
Properties of city-level commuting networks are expected to influence epidemic potential of cities and modify the speed and spatial trajectory of epidemics when they occur. In this study, we use aggregated mobile phone user data to reconstruct commut