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Trade-offs during the COVID-19 pandemic: A discrete choice experiment about policy preferences in Portugal.
Filipe, Luís; de Almeida, Sara Valente; Costa, Eduardo; da Costa, Joana Gomes; Lopes, Francisca Vargas; Santos, João Vasco.
  • Filipe L; Department of Health Research, Lancaster University, Lancaster, United Kingdom.
  • de Almeida SV; School of Public Health, Imperial College London, London, United Kingdom.
  • Costa E; Nova School of Business and Economics, Universidade Nova de Lisboa, Carcavelos, Portugal.
  • da Costa JG; School of Business and Economics, University of Porto, Porto, Portugal.
  • Lopes FV; Department of Public Health, ErasmusMC, Rotterdam, Netherlands.
  • Santos JV; Erasmus Centre for Health Economics Rotterdam, Erasmus University Rotterdam, Rotterdam, Netherlands.
PLoS One ; 17(12): e0278526, 2022.
Article in English | MEDLINE | ID: covidwho-2197049
ABSTRACT
The need to control the sanitary situation during the COVID-19 pandemic has led governments to implement several restrictions with substantial social and economic impacts. We explored people's trade-offs in terms of their income, life restrictions, education, and poverty in the society, compared to their willingness to avoid deaths. We applied a web-based discrete choice experiment to elicit preferences of the Portuguese citizens for these attributes and computed the marginal rate of substitution in terms of avoided deaths. We recorded 2,191 responses that faced the possibility of having 250 COVID-19 related deaths per day as the worst possible outcome from the choice levels presented. Estimates suggested that individuals would be willing to sacrifice 30% instead of 10% of their income to avoid approximately 47 deaths per day during the first six months of 2021. For the same period, they would also accept 30% of the students' population to become educationally impaired, instead of 10%, to avoid approximately 25 deaths; a strict lockdown, instead of mild life restrictions, to avoid approximately 24 deaths; and 45% of the population to be in risk of poverty, instead of 25%, to avoid approximately 101 deaths. Our paper shows that avoiding deaths was strongly preferred to the remaining societal impacts; and that being a female, as well as working on site, led individuals to be more averse to such health hazards. Furthermore, we show how a DCE can be used to assess the societal support to decision-making during times of crisis.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Female / Humans Country/Region as subject: Europa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0278526

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Female / Humans Country/Region as subject: Europa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0278526