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Exploring human mixing patterns based on time use and social contact data and their implications for infectious disease transmission models.
Hoang, Thang Van; Willem, Lander; Coletti, Pietro; Van Kerckhove, Kim; Minnen, Joeri; Beutels, Philippe; Hens, Niel.
Affiliation
  • Hoang TV; I-Biostat, Data Science Institute, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium. vanthang.hoang@uhasselt.be.
  • Willem L; Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Diseases Institute, University of Antwerp, Universiteitsplein 1, 2610, Antwerp, Belgium.
  • Coletti P; I-Biostat, Data Science Institute, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium.
  • Van Kerckhove K; I-Biostat, Data Science Institute, Hasselt University, Martelarenlaan 42, 3500, Hasselt, Belgium.
  • Minnen J; Vrije Universiteit Brussel, Brussel, Belgium.
  • Beutels P; Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Diseases Institute, University of Antwerp, Universiteitsplein 1, 2610, Antwerp, Belgium.
  • Hens N; School of Public health and Community Medicine, University of New South Wales, 2052, Sydney, Australia.
BMC Infect Dis ; 22(1): 954, 2022 Dec 19.
Article in En | MEDLINE | ID: mdl-36536314
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Full text: 1 Database: MEDLINE Main subject: Communicable Diseases / Parvovirus B19, Human Type of study: Prognostic_studies Limits: Humans Country/Region as subject: Europa Language: En Year: 2022 Type: Article
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PubMed Links
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Full text: 1 Database: MEDLINE Main subject: Communicable Diseases / Parvovirus B19, Human Type of study: Prognostic_studies Limits: Humans Country/Region as subject: Europa Language: En Year: 2022 Type: Article