Arbeitsbereich

Bevölkerungsdynamik und Nachhaltiges Wohlbefinden

Auf einen Blick Projekte Publikationen Team

Projekt

The COVID-19 Health Behavior Survey

Daniela Perrotta, Jessica Donzowa, Emilio Zagheni, André Grow-Böser, Emanuele Del Fava, Beatriz Sofía Gil Clavel; in Zusammenarbeit mit Jorge Cimentada (MPIDR), Francesco Rampazzo (University of Oxford, Großbritannien)

We designed, conducted, and analyzed a large cross-national online survey to assess the health, behaviors, social contacts, and attitudes of people in response to the first wave of the COVID-19 pandemic.  Ausführliche Beschreibung

Schnellumfragen, deren Teilnehmer über gezielte Facebook-Werbung rekrutiert wurden, geben Aufschluss über die ersten Reaktionen der Menschen auf die COVID-19-Pandemie

© Perrotta, D., Grow, A., Rampazzo, F., Cimentada, J., Del Fava, E., Gil-Clavel, S., & Zagheni, E. (2021). Behaviours and attitudes in response to the COVID-19 pandemic: insights from a cross-national Facebook survey. EPJ data science, 10(1), 17. / Perrotta, D., Del Fava, E., & Zagheni, E. (2021). The role of vulnerability in mediating the relationship between threat perception and the use of face masks in the context of COVID-19. In Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media.

  1. The scatterplot shows the relationship between the threat of COVID-19 perceived by women (y-axis) and men (x-axis), for different types of threat, and by age groups. We observe that the threat perception is significantly higher among women than men and among older adults than younger people.
  2. The heatmap shows the adoption rate of face masks in relation to the threat perceived personally (x-axis) across countries (y-axis). The threat perception serves as an indicator of differentiated behavioral responses in the population with subgroups perceiving higher threat perceptions being more likely to adopt preventive behaviors.   
  3. The scatterplot shows the relationship between the threat perception to oneself by respondents with (y-axis) or without (x-axis) vulnerability, by country.  While the vulnerable groups cluster by country, from lowest threat perception in Germany to highest in the United Kingdom, we measure that the threat perception is much higher among vulnerable segments of the population. 

Schlagworte:

Daten und Erhebungen, Gesundheitsversorgung, Public Health, Medizin und Epidemiologie

Schlagworte (Region):

Europa, Vereinigte Staaten

Publikationen

Donzowa, J.; Perrotta, D.; Zagheni, E.:
MPIDR Working Paper WP-2023-047. (2023)    
Grow, A.; Perrotta, D.; Del Fava, E.; Cimentada, J.; Rampazzo, F.; Gil-Clavel, B. S.; Zagheni, E.; Flores, R. D.; Ventura, I.; Weber, I. G.:
Journal of the Royal Statistical Society/A 185:S2, S343–S363. (2022)    
Grow, A.; Perrotta, D.; Del Fava, E.; Cimentada, J.; Rampazzo, F.; Gil-Clavel, B. S.; Zagheni, E.; Flores, R. D.; Ventura, I.; Weber, I. G.:
MPIDR Working Paper WP-2021-006. (2021)    
Liu, C. Y.; Berlin, J.; Kiti, M. C.; Del Fava, E.; Grow, A.; Zagheni, E.; Melegaro, A.; Jenness, S. M.; Omer, S. B.; Lopman, B.; Nelson, K.:
medRxiv preprints. unpublished. (2021)    
Liu, C. Y.; Berlin, J.; Kiti, M. C.; Del Fava, E.; Grow, A.; Zagheni, E.; Melegaro, A.; Jenness, S. M.; Omer, S. B.; Lopman, B.; Nelson, K.:
Epidemiology 32:6, 781–791. (2021)    
Perrotta, D.; Del Fava, E.; Zagheni, E.:
In: Workshop Proceedings of the Fifteenth International AAAI Conference on Web and Social Media (ICWSM 2021): 7 June 2021 (virtual), 1–4. Palo Alto, CA: AAAI Press. (2021)    
Perrotta, D.; Grow, A.; Rampazzo, F.; Cimentada, J.; Del Fava, E.; Gil-Clavel, B. S.; Zagheni, E.:
EPJ Data Science 10:17, 1–13. (2021)    
Del Fava, E.; Cimentada, J.; Perrotta, D.; Grow, A.; Rampazzo, F.; Gil-Clavel, B. S.; Zagheni, E.:
medRxiv preprints. unpublished. (2020)    
Grow, A.; Perrotta, D.; Del Fava, E.; Cimentada, J.; Rampazzo, F.; Gil-Clavel, B. S.; Zagheni, E.:
SocArXiv papers. unpublished. (2020)    
Grow, A.; Perrotta, D.; Del Fava, E.; Cimentada, J.; Rampazzo, F.; Gil-Clavel, B. S.; Zagheni, E.:
Journal of Medical Internet Research 22:12, e20653–e20653. (2020)    
Klüsener, S.; Schneider, R.; Rosenbaum-Feldbrügge, M.; Dudel, C.; Loichinger, E.; Sander, N.; Backhaus, A.; Del Fava, E.; Esins, J.; Fischer, M.; Grabenhenrich, L.; Grigoriev, P.; Grow, A.; Hilton, J. D.; Koller, B.; Myrskylä, M.; Scalone, F.; Wolkewitz, M.; Zagheni, E.; Resch, M. M.:
medRxiv preprints. unpublished. (2020)    
Perrotta, D.; Grow, A.; Rampazzo, F.; Cimentada, J.; Del Fava, E.; Gil-Clavel, B. S.; Zagheni, E.:
medRxiv preprints. unpublished. (2020)    
Das Max-Planck-Institut für demografische Forschung (MPIDR) in Rostock ist eines der international führenden Zentren für Bevölkerungswissenschaft. Es gehört zur Max-Planck-Gesellschaft, einer der weltweit renommiertesten Forschungsgemeinschaften.