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  1. Last 7 days
  2. www.ncbi.nlm.nih.gov www.ncbi.nlm.nih.gov
    Anticipated Regret and Health Behavior: A Meta-Analysis
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    1. SIYANYE 07 May 2021

      Brewer, N. T., DeFrank, J. T., & Gilkey, M. B. (2016). Anticipated Regret and Health Behavior: A Meta-Analysis. Health Psychology : Official Journal of the Division of Health Psychology, American Psychological Association, 35(11), 1264–1275. https://doi.org/10.1037/hea0000294

      lang:en is:article anticipated regret health behavior meta-analysis theory review risk perception affect regret management theory cognitive psychology emotion risk belief intention
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    ncbi.nlm.nih.gov/pmc/articles/PMC5408743/
  3. Jan 2021
  4. pubmed.ncbi.nlm.nih.gov pubmed.ncbi.nlm.nih.gov
    Meta-analysis of the relationship between risk perception and health behavior: the example of vaccination
    1
    1. SIYANYE 29 Jan 2021

      Brewer NT, Chapman GB, Gibbons FX, Gerrard M, McCaul KD, Weinstein ND. Meta-analysis of the relationship between risk perception and health behavior: the example of vaccination. Health Psychol. 2007;26(2):136–45. doi:10.1037/0278-6133.26.2.136

      lang:en is:article meta-analysis relationship risk perception behavior vaccine health behavior susceptibility
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    pubmed.ncbi.nlm.nih.gov/17385964/
  5. Aug 2020
  6. www.nber.org www.nber.org
    Assessing the Age Specificity of Infection Fatality Rates for COVID-19: Meta-Analysis & Public Policy Implications
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    1. ErikStuchly 15 Aug 2020

      Levin, A. T., Cochran, K. B., & Walsh, S. P. (2020). Assessing the Age Specificity of Infection Fatality Rates for COVID-19: Meta-Analysis & Public Policy Implications (Working Paper No. 27597; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27597

      is:preprint lang:en COVID-19 age mortality meta-analysis public policy infection fatality ratio seroprevalence risk factor epidemiology predictor
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    nber.org/papers/w27597
  7. Jul 2020
  8. doi.org doi.org
    https://doi.org/10.1101/2020.06.23.20136200
    1
    1. ErikStuchly 05 Jul 2020

      Su, Q., Hu, J., Lin, H., Zhang, Z., Zhu, E. C., Zhang, C., Wang, D., Gao, Z., & Cao, B. (2020). Prevalence and risks of severe events for cancer patients with COVID-19 infection: A systematic review and meta-analysis. MedRxiv, 2020.06.23.20136200. https://doi.org/10.1101/2020.06.23.20136200

      is:article lang:en COVID-19 cancer patient severe event risk systematic review meta-analysis epidemiology hospitalization mortality public health
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    doi.org/10.1101/2020.06.23.20136200
  9. May 2020
  10. www.tandfonline.com www.tandfonline.com
    Fact-checking as risk communication: the multi-layered risk of misinformation in times of COVID-19
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    1. edampf 29 May 2020

      Krause, N. M., Freiling, I., Beets, B., & Brossard, D. (2020). Fact-checking as risk communication: The multi-layered risk of misinformation in times of COVID-19. Journal of Risk Research, 1–8. https://doi.org/10.1080/13669877.2020.1756385

      is:article lang:en COVID-19 fact-checking risk communication misinformation multi-layer meta-risk public perception interaction misinfodemic research implication recommendation
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    tandfonline.com/doi/full/10.1080/13669877.2020.1756385