Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data
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Authors
Schumpe, Birga M.van Lissa, Caspar J.
Bélanger, Jocelyn J.
Ruggeri, Kai
Mierau, Jochen
Nisa, Claudia F.
Molinario, Erica
Gelfand, Michele J.
Stroebe, Wolfgang
Agostini, Maximilian
Gützkow, Ben
Jeronimus, Bertus F.
Kreienkamp, Jannis
Kutlaca, Maja
Lemay, Edward P.
Reitsema, Anne Margit
vanDellen, Michelle R.
Abakoumkin, Georgios
Abdul Khaiyom, Jamilah Hanum
Ahmedi, Vjollca
Akkas, Handan
Almenara, Carlos A.
Atta, Mohsin
Bagci, Sabahat Cigdem
Basel, Sima
Berisha Kida, Edona
Bernardo, Allan B.I.
Buttrick, Nicholas R.
Chobthamkit, Phatthanakit
Choi, Hoon Seok
Cristea, Mioara
Csaba, Sara
Damnjanović, Kaja
Danyliuk, Ivan
Dash, Arobindu
Di Santo, Daniela
Douglas, Karen M.
Enea, Violeta
Faller, Daiane
Fitzsimons, Gavan J.
Gheorghiu, Alexandra
Gómez, Ángel
Hamaidia, Ali
Han, Qing
Helmy, Mai
Hudiyana, Joevarian
Jiang, Ding Yu
Jovanović, Veljko
Kamenov, Zeljka
Kende, Anna
Keng, Shian Ling
Kieu, Tra Thi Thanh
Koc, Yasin
Kovyazina, Kamila
Kozytska, Inna
Krause, Joshua
Kruglanski, Arie W.
Kurapov, Anton
Lantos, Nóra Anna
Lesmana, Cokorda Bagus J.
Louis, Winnifred R.
Lueders, Adrian
Malik, Najma Iqbal
Martinez, Anton P.
McCabe, Kira O.
Mehulić, Jasmina
Milla, Mirra Noor
Mohammed, Idris
Moyano, Manuel
Muhammad, Hayat
Mula, Silvana
Muluk, Hamdi
Myroniuk, Solomiia
Najafi, Reza
Nyúl, Boglárka
O’Keefe, Paul A.
Olivas Osuna, Jose Javier
Osin, Evgeny N.
Park, Joonha
Pica, Gennaro
Pierro, Antonio
Rees, Jonas H.
Resta, Elena
Rullo, Marika
Ryan, Michelle K.
Samekin, Adil
Santtila, Pekka
Sasin, Edyta
Selim, Heyla A.
Stanton, Michael Vicente
Sultana, Samiah
Sutton, Robbie M.
Tseliou, Eleftheria
Utsugi, Akira
van Breen, Jolien A.
van Veen, Kees
Vázquez, Alexandra
Wollast, Robin
Yeung, Victoria Wai Lan
Zand, Somayeh
Issue Date
2022-12-01
Metadata
Show full item recordPublisher
Nature ResearchJournal
Scientific ReportsDOI
10.1038/s41598-021-04703-9Additional Links
https://www.nature.com/articles/s41598-021-04703-9Abstract
The present paper examines longitudinally how subjective perceptions about COVID-19, one’s community, and the government predict adherence to public health measures to reduce the spread of the virus. Using an international survey (N = 3040), we test how infection risk perception, trust in the governmental response and communications about COVID-19, conspiracy beliefs, social norms on distancing, tightness of culture, and community punishment predict various containment-related attitudes and behavior. Autoregressive analyses indicate that, at the personal level, personal hygiene behavior was predicted by personal infection risk perception. At social level, social distancing behaviors such as abstaining from face-to-face contact were predicted by perceived social norms. Support for behavioral mandates was predicted by confidence in the government and cultural tightness, whereas support for anti-lockdown protests was predicted by (lower) perceived clarity of communication about the virus. Results are discussed in light of policy implications and creating effective interventions. © 2022, The Author(s).Type
info:eu-repo/semantics/articleRights
info:eu-repo/semantics/openAccessAttribution-NonCommercial-ShareAlike 4.0 International
Language
engEISSN
20452322Sponsors
New York University Abu Dhabiae974a485f413a2113503eed53cd6c53
10.1038/s41598-021-04703-9
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- Creative Commons