3.8 Article

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

期刊

PNAS NEXUS
卷 1, 期 3, 页码 -

出版社

OXFORD UNIV PRESS
DOI: 10.1093/pnasnexus/pgac093

关键词

COVID-19; social distancing; hygiene; policy support; public health measures

资金

  1. VolkswagenStiftung [98 525]
  2. NOMIS Stiftung (NOMIS Foundation)
  3. Slovak Research and Development Agency (SRDA
  4. Agentura na podporu vyskumu a vyvoja) [APVV-18-0218]
  5. Medical Research Council (MRC) [MR/P014097/1]
  6. Economic Social Research Council Impact Acceleration Award, University of Oxford
  7. Carlsberg Foundation [CF20-044]
  8. HKUST IEMS research grant project - EY
  9. Netherlands Organization for Scientific Research (NWO) [440.20.003]
  10. Ministry of Education, Science, and Technological Development of the Republic of Serbia [451-03-9/2021-14/200163]
  11. National Natural Science Foundation of China [71972065, 71832004, 71872152]
  12. Universities in Hebei Province Hundred Outstanding Innovative Talents Support Program [SLRC2019002]
  13. Ministry of Education in China [21JHQ088]
  14. French National Research Agency (ANR) [ANR-10-IDEX-0001-02 PSL*, ANR-10-LABX-0087 IEC, ANR-17-EURE-0017]
  15. IAST from the French National Research Agency (ANR) under the Investments for the Future (Investissements d'Avenir) programme [ANR-17-EURE-0010]
  16. Slovak Research and Development Agency [APVV-17-0596]
  17. Institute of Social Sciences Ivo Pilar, Zagreb
  18. Croatia
  19. Croatian Science Foundation, Zagreb
  20. Croatia [DOK-01-2018]
  21. Takeda [CW2680521]
  22. CONICET
  23. ANID/FONDECYT Regular [1210195, 1210176]
  24. Sistema General de Regalias [BPIN2018000100059]
  25. Universidad del Valle [CI 5316]
  26. Multi-Partner Consortium to Expand Dementia Research in Latin America [ReDLat - National Institutes of Health, the National Institutes of Aging] [R01 AG057234]
  27. Multi-Partner Consortium to Expand Dementia Research in Latin America [ReDLat - Alzheimer's Association] [SG-20-725707]
  28. Multi-Partner Consortium to Expand Dementia Research in Latin America [ReDLat - Rainwater Charitable foundation-Tau Consortium]
  29. Multi-Partner Consortium to Expand Dementia Research in Latin America [ReDLat - Global Brain Health Institute]
  30. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior Brasil (CAPES) [1133/2019]
  31. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) [309905/2019-2]
  32. Sao Paulo Research Foundation [2019/26665-5]
  33. Sao Paulo Research Foundation-FAPESP [2019/27100-1]
  34. Australian Research Council [DP180102384]
  35. John Templeton Foundation [61378]
  36. Ministry of Science and Technology, Taiwan
  37. John Templeton Foundation
  38. QUT Centre for Behavioural Economics, Society and Technology (BEST)
  39. National Science Center [2018/29/B/HS6/02826]
  40. ANR-Labex IAST
  41. Research Council of Norway through its Centres of Excellence Scheme, FAIR project [262675]
  42. Social Sciences and Humanities Research Council (SSHRC) [435-2019-0692]
  43. Sistema Nacional de Investigadores, CONACyT (Mexico)
  44. NOMIS Foundation
  45. Aarhus University Research Foundation [28207, AUFF-E-201 9-9-4]
  46. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under the Germany's Excellence Strategy [EXC 2052/1-390713894]
  47. Biotechnology and Biological Sciences Research Council David Phillips Fellowship [BB/R010668/1]
  48. Jane & Aatos Erkko Foundation [170112]
  49. Academy of Finland [323207]
  50. Contemporary Thinking and Innovation for Social Development (COIDESO), the University of Huelva, Huelva, Spain
  51. University of Vienna
  52. COVID-19 Rapid Response grant
  53. Austrian Science Fund (FWF) [I3381]
  54. Natural Sciences and Engineering Research Council of Canada
  55. Research Council of Norway, Centres of Excellence scheme - FAIR project [262675]
  56. School of Medicine and Health Sciences-Universidad del Rosario
  57. SSHRC [506547]
  58. PAI2018 project PRO-COPE (Prosociality, Cognition, and Peer Effects) - IMT School for Advanced Studies Lucca
  59. Batten Institute, the University of Virginia Darden School of Business
  60. Darden School of Business, Charlottesville, VA, USA
  61. Swedish Research Council-consolidator grant [2018-00877]
  62. [FONCYT-PICT 2017-1820]
  63. [ANID/FONDAP/15150012]
  64. Austrian Science Fund (FWF) [I3381] Funding Source: Austrian Science Fund (FWF)

向作者/读者索取更多资源

This study utilized machine learning to analyze global data and examined the influence of social, moral, cognitive, and personality psychology factors as well as socio-demographic factors on attitudes and behavioral responses during the pandemic. The results showed that moral identity, morality as cooperation, self-control, and other factors were positively associated with adherence to preventive measures, while endorsement of conspiracy theories showed a negative relationship.
At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution-individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic.

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