Literature DB >> 32221514

How behavioural science data helps mitigate the COVID-19 crisis.

Cornelia Betsch1,2.   

Abstract

Entities:  

Mesh:

Year:  2020        PMID: 32221514      PMCID: PMC7101898          DOI: 10.1038/s41562-020-0866-1

Source DB:  PubMed          Journal:  Nat Hum Behav        ISSN: 2397-3374


× No keyword cloud information.
At the moment, acting according to official recommendations regarding COVID-19 may feel unreasonable or unnecessary. This may especially be the case in countries where avoiding physical contact with other people is still voluntary and hasn’t (yet) been turned into strict policies of closed schools, closed playgrounds or closed shopping centres. Avoiding handshakes with colleagues and students, not hugging friends, turning down a friend’s invitation for dinner—you very easily start to wonder whether you are overreacting or whether it is just the right thing to do. Marco Borggreve The tragedy of public health preventive measures such as physical distancing is that we do not see and feel when we do not infect someone, when we are part of something not happening, such as transmission chains that can be deadly for our loved ones. We all know someone vulnerable whom we do not want to lose. Not seeing them now, avoiding physical contact, seems like the opposite of a declaration of love, and may make us hesitate to act. Still, in this pandemic, fast and massive behavioural change is key. Pharmaceutical measures such as a vaccine or antiviral medicines will not be available for COVID-19 for a long time. We have long recognised that understanding behaviour is the basis of changing it: learning about people’s behaviour in this crisis is vital. This must include insight into public perceptions of risk, protective and preparedness behaviours, public trust, knowledge and misinformation. Although we have some idea about people’s behaviour in public health crises from previous pandemics, a lot has changed: the virus, the ways people gather information and the ways authorities such as WHO reach out to people via social media. Assessing these variables is of great relevance. To address the pressing need for reliable, ongoing information on the German public’s response to COVID-19, we set up the COVID-19 Snapshot Monitoring (COSMO) initiative (10.23668/psycharchives.2776). Each week, 1,000 participants—representative for age, gender and federal state—take part in a 15 min online survey. Our goal is to enable the government, journalists and health organizations to be aware of the psychological situation, implement adequate responses, correct misinformation and also facilitate behavioural change, whether with communication measures, policies or restrictions. This initiative aims to offer a rapid evaluation tool of what the public thinks and feels, including which fears are relevant, the prevalence of hoarding behaviour, discrimination and stigma, trust in information sources and trust in the government. We publish a weekly update for project partners, government officials and journalists registered with Science Media Centre Germany. In the first two waves of the survey (3–4 March 2020 and 10–11 March 2020), we found that, although knowledge was high, important protection behaviours were very low, and risk perceptions were especially low among the elderly. Authorities can act upon that knowledge to protect this susceptible yet still complacent group. We also found that willingness to restrict one’s everyday life, to flatten the curve and lower the burden for the health system, was high. However, when the motivation was to protect vulnerable others, the willingness to restrict one’s everyday life was even higher. This is a very important message. Communicating the social norm is a key strategy in health communication. Such data can improve the outbreak response: knowing that the clear majority of people are restricting themselves to protect others takes away the burdening question of “Am I the only fool who does this?” It can create much-needed solidarity at a time when all may suffer from the non-health-related side effects of the crisis. On the forefront of bringing behavioural insights to the heart of national pandemic response, the WHO Regional Office for Europe has adapted the COSMO study protocol and questionnaire, and now offers support to its Member States to collect such data (http://www.euro.who.int/en/covid-19-BI; protocol and materials at 10.23668/psycharchives.2782). Identifying groups with low risk perceptions and gathering data for social norm communication are only two examples of the power of these data. Scientists across disciplines should continue to collaborate to create a standard set of questions to assess risk perceptions, drivers of protective behaviours and trust, consistently across countries, with necessary cultural and other adaptations as needed. Understanding how we feel and think about the risk we face and how it relates to psychological and societal consequences requires insights from numerous fields. Thus, cross-disciplinary collaboration on such large-scale surveys will be important. The list of important questions to address is long (and will grow as the crisis unfolds): resilience, coping with stressful events, solidarity, the role of religion, loneliness, domestic violence, prosocial behaviour and its driving factors, intergroup conflicts, misinformation, shifts in political opinions and movements, and the role of language in crisis response, to name just a few. If avoiding people even though neither you nor any of them is actually sick feels stupid, know that you have done the right thing: you limited unnecessary physical contact. Knowing that other people do the same can hopefully lead to more behavioural change and more willingness to act upon the knowledge that we have. Data gives authorities and journalists a solid base for supporting the public to help mitigate the crisis.
  45 in total

1.  Dissemination Science to Advance the Use of Simulation Modeling: Our Obligation Moving Forward.

Authors:  Bohdan Nosyk; Janet Weiner; Emanuel Krebs; Xiao Zang; Benjamin Enns; Czarina N Behrends; Daniel J Feaster; Hawre Jalal; Brandon D L Marshall; Ankur Pandya; Bruce R Schackman; Zachary F Meisel
Journal:  Med Decis Making       Date:  2020-08-05       Impact factor: 2.583

2.  Multi-probe attention neural network for COVID-19 semantic indexing.

Authors:  Jinghang Gu; Rong Xiang; Xing Wang; Jing Li; Wenjie Li; Longhua Qian; Guodong Zhou; Chu-Ren Huang
Journal:  BMC Bioinformatics       Date:  2022-06-29       Impact factor: 3.307

3.  Working memory capacity predicts individual differences in social-distancing compliance during the COVID-19 pandemic in the United States.

Authors:  Weizhen Xie; Stephen Campbell; Weiwei Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-10       Impact factor: 11.205

Review 4.  Ten considerations for effectively managing the COVID-19 transition.

Authors:  Katrine Bach Habersaat; Cornelia Betsch; Margie Danchin; Cass R Sunstein; Robert Böhm; Armin Falk; Noel T Brewer; Saad B Omer; Martha Scherzer; Sunita Sah; Edward F Fischer; Andrea E Scheel; Daisy Fancourt; Shinobu Kitayama; Eve Dubé; Julie Leask; Mohan Dutta; Noni E MacDonald; Anna Temkina; Andreas Lieberoth; Mark Jackson; Stephan Lewandowsky; Holly Seale; Nils Fietje; Philipp Schmid; Michele Gelfand; Lars Korn; Sarah Eitze; Lisa Felgendreff; Philipp Sprengholz; Cristiana Salvi; Robb Butler
Journal:  Nat Hum Behav       Date:  2020-06-24

5.  Affective empathy predicts self-isolation behaviour acceptance during coronavirus risk exposure.

Authors:  Serena Petrocchi; Nicola Grignoli; Sheila Bernardi; Roberto Malacrida; Rafael Traber; Luca Gabutti
Journal:  Sci Rep       Date:  2021-05-12       Impact factor: 4.379

Review 6.  The psychosocial adaptability of independently living older adults to COVID-19 related social isolation in the Netherlands: A qualitative study.

Authors:  Evi M Kremers; Jeroen H M Janssen; Minke S Nieuwboer; Marcel G M Olde Rikkert; G M E E Geeske Peeters
Journal:  Health Soc Care Community       Date:  2021-05-24

7.  Effect of the event strength of the coronavirus disease (COVID-19) on potential online organic agricultural product consumption and rural health tourism opportunities.

Authors:  Jie Yin; Youcheng Chen; Yingchao Ji
Journal:  MDE Manage Decis Econ       Date:  2021-04-27

8.  Perceptions towards COVID-19 and adoption of preventive measures among the public in Saudi Arabia: a cross sectional study.

Authors:  Ghadah Alkhaldi; Ghadeer S Aljuraiban; Sultana Alhurishi; Roberta De Souza; Kethakie Lamahewa; Rosa Lau; Fahdah Alshaikh
Journal:  BMC Public Health       Date:  2021-06-29       Impact factor: 3.295

9.  Temporal evolution, most influential studies and sleeping beauties of the coronavirus literature.

Authors:  Milad Haghani; Pegah Varamini
Journal:  Scientometrics       Date:  2021-06-23       Impact factor: 3.801

10.  Wearing a mask-For yourself or for others? Behavioral correlates of mask wearing among COVID-19 frontline workers.

Authors:  Ankush Asri; Viola Asri; Baiba Renerte; Franziska Föllmi-Heusi; Joerg D Leuppi; Juergen Muser; Reto Nüesch; Dominik Schuler; Urs Fischbacher
Journal:  PLoS One       Date:  2021-07-19       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.