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Longitudinal social contact data analysis: insights from 2 years of data collection in Belgium during the COVID-19 pandemic.
Loedy, Neilshan; Coletti, Pietro; Wambua, James; Hermans, Lisa; Willem, Lander; Jarvis, Christopher I; Wong, Kerry L M; Edmunds, W John; Robert, Alexis; Leclerc, Quentin J; Gimma, Amy; Molenberghs, Geert; Beutels, Philippe; Faes, Christel; Hens, Niel.
Affiliation
  • Loedy N; Data Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium. neilshan.loedy@uhasselt.be.
  • Coletti P; Data Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium.
  • Wambua J; Data Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium.
  • Hermans L; Data Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium.
  • Willem L; Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
  • Jarvis CI; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Wong KLM; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Edmunds WJ; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Robert A; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Leclerc QJ; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Gimma A; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Public Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Molenberghs G; Epidemiology and Modelling of Bacterial Escape to Antimicrobials, Institut Pasteur, Paris, France.
  • Beutels P; Centre for Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, Faculty of Epidemiology & Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Faes C; Data Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium.
  • Hens N; L-BioStat, Department of Public Health and Primary Care, Faculty of Medicine, KU Leuven, Leuven, Belgium.
BMC Public Health ; 23(1): 1298, 2023 07 06.
Article in En | MEDLINE | ID: mdl-37415096
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Europa Language: En Journal: BMC Public Health Journal subject: SAUDE PUBLICA Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Europa Language: En Journal: BMC Public Health Journal subject: SAUDE PUBLICA Year: 2023 Document type: Article Affiliation country: Country of publication: