Author: Moser, D. A.; Glaus, J.; Frangou, S.; Schechter, D. S.
Title: Years of life lost due to the psychosocial consequences of COVID19 mitigation strategies based on Swiss data Cord-id: bfm45zas Document date: 2020_4_22
ID: bfm45zas
Snippet: Background: The pandemic caused by COVID-19 has forced governments to implement strict social mitigation strategies to reduce the acute morbidity and mortality from acute infections. These strategies however carry a significant risk for mental health which can lead to increased short-term and long-term mortality, which is currently not included in modelling the impact of the pandemic. Methods: We used years of life lost (YLL) as the main outcome measure as applied to Switzerland as an exemplar.
Document: Background: The pandemic caused by COVID-19 has forced governments to implement strict social mitigation strategies to reduce the acute morbidity and mortality from acute infections. These strategies however carry a significant risk for mental health which can lead to increased short-term and long-term mortality, which is currently not included in modelling the impact of the pandemic. Methods: We used years of life lost (YLL) as the main outcome measure as applied to Switzerland as an exemplar. We focused on suicide, depression, alcohol use disorder, childhood physical abuse and social isolation as these are known to increase YLL in the context of imposed restriction in social contact and freedom of movement. We also estimated a minimum duration of mitigation of 3 months based on current public health plans. Results: The study projects that the average person would suffer 0.205 YLL due to psychosocial consequence of COVID-19 mitigation measures. However, this loss would be entirely borne by a subpopulation of 2.1 percent of the population, the average of whom suffer an average 9.79 YLL. Conclusions: The results presented here are likely to underestimate the true impact of the mitigation strategies on YLL. However, model like the one presented here highlight the need for public health models to expand their scope in order to provide better estimates of the risks and benefits of mitigation.
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