The indirect pandemic consequences could by far exceed the direct effects of SARS-CoV-2 in terms of costs, morbidity, and mortality. This essay includes a proposed method (matrix) to visualize virus-related and psychosocial risks for different populations side by side in a systematic and concise manner. COVID-19-related and psychosocial vulnerability, stressors, direct and indirect consequences are derived on a theoretical and empirical basis. An exemplary quantification of the matrix for the vulnerable group of people with severe mental illness revealed a very high risk for severe COVID-19 consequences, as well as a pronounced risk for psychosocial collateral effects. The proposed approach could be further discussed for a risk-graded pandemic management, crisis recovery, and future preparedness to adequately address psychosocial collateral effects and better identify and protect vulnerable groups in this regard.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567134 | PMC |
| http://dx.doi.org/10.1055/a-2051-7613 | DOI Listing |
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