ArticlePNAS nexus2022
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning.
Article in PNAS nexus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Meta-analysis of factors influencing depression in the elderly before and after the COVID-19 pandemic in 2023.BMC geriatrics · 2026Pooled it
- Parallel electrophysiological abnormalities due to COVID-19 infection and to Alzheimer's disease and related dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Pooled it
- Don't Stop Belonging: Associations Between National Narcissism, Self-Esteem and Optimism in Social Belonging.International journal of psychology : Journal international de psychologie · 2026Article
- The uneven landscape of Swiss travel behavior: evidence of mobility inequality from the national microcensus.Npj sustainable mobility and transport · 2026Article
- SARS-CoV-2 Spike Protein Exacerbates Thromboembolic Cerebrovascular Complications in Humanized ACE2 Mouse Model.Translational stroke research · 2025Article
- Beliefs in Misinformation About COVID-19 and the Russian Invasion of Ukraine Are Linked: Evidence From a Nationally Representative Survey Study.JMIR infodemiology · 2025Article
- Predictors of Health-Protective and Helping Behaviors during the Covid-19 Pandemic: The Role of Social Support and Resilience.Psychological reports · 2024Review
- Article
- Knowledge, attitudes, practices, and perception of COVID-19 preventive measures among adult residents of Matadi (Democratic Republic of the Congo) after the third epidemic wave.Frontiers in public health · 2024Article
- Do Italian people still wear masks? Analysis of personality and dispositional correlates of facemask use in post Covid-19 scenario.Scientific reports · 2023Article
- Subjective socioeconomic status and income inequality are associated with self-reported morality across 67 countries.Nature communications · 2023Article
- The replication crisis has led to positive structural, procedural, and community changes.Communications psychology · 2023Review
- The Moral Foundations of Vaccine Passports.Journal of business ethics : JBE · 2023Article
- Retrospective Analysis of the Psychological Predictors of Public Health Support in Bulgarians at the Beginning of the Coronavirus Pandemic.Brain sciences · 2023Article
- Social and moral psychology of COVID-19 across 69 countries.Scientific data · 2023Article
- Commentary: Coronavirus Disease 2019 Worry and Related Factors: Turkish Adaptation and Psychometric Properties of the Coronavirus Disease 2019 Worry Scale.Alpha psychiatry · 2023Article
- Persuasive Messages for Improving Adherence to COVID-19 Prevention Behaviors: Randomized Online Experiment.JMIR human factors · 2023Article
- Social bonds are related to health behaviors and positive well-being globally.Science advances · 2023Article
- Editorial: Big data and machine learning in sociology.Frontiers in sociology · 2023Article
- The impact of government actions and risk perception on the promotion of self-protective behaviors during the COVID-19 pandemic.PloS one · 2023Article
Corrections and comments
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Authors and funding
228 authors.
Funding
Abstract
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 (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.