Your browser doesn't support javascript.
loading
Updating 'Perceptions and opinions on the COVID-19 pandemic in Flanders, Belgium' with data of two additional waves of a longitudinal study.
De Coninck, David; d'Haenens, Leen; Molenberghs, Geert; Declercq, Anja; Delecluse, Christophe; Van Roie, Evelien; Matthijs, Koen.
Afiliação
  • De Coninck D; Centre for Sociological Research, KU Leuven, Belgium.
  • d'Haenens L; Institute for Media Studies, KU Leuven, Belgium.
  • Molenberghs G; Institute for Media Studies, KU Leuven, Belgium.
  • Declercq A; Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Data Science Institute, Hasselt University, Belgium.
  • Delecluse C; Interuniversity Institute for Biostatistics and Statistical Bioinformatics, KU Leuven, Belgium.
  • Van Roie E; Centre for Sociological Research, KU Leuven, Belgium.
  • Matthijs K; LUCAS, KU Leuven, Belgium.
Data Brief ; 42: 108010, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35284609
ABSTRACT
Adding to longitudinal data of three waves that were presented in an original dataset on perceptions and behaviours regarding government measures, fear of getting ill, and media use during the COVID-19 pandemic in Flanders (Belgium), this article presents information on two additional waves that were collected at two key moments in the pandemic in the same region in late August 2020 (W4; as infection rates increased again; N = 505) and in the middle of March 2021, exactly one year after the first data collection (W5; N = 408). In W4 and W5, new respondents were added to the longitudinal sample to strengthen cross-sectional analyses. Additional information on informal care and physical activity was also collected. These data may be of interest to researchers who wish to explore dynamics of fear and attitudes towards public health measures during this particularly challenging time.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article