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Assessing concerns for the economic consequence of the COVID-19 response and mental health problems associated with economic vulnerability and negative economic shock in Italy, Spain, and the United Kingdom.
Codagnone, Cristiano; Bogliacino, Francesco; Gómez, Camilo; Charris, Rafael; Montealegre, Felipe; Liva, Giovanni; Lupiáñez-Villanueva, Francisco; Folkvord, Frans; Veltri, Giuseppe A.
  • Codagnone C; Università degli studi di Milano, Milan, Italy.
  • Bogliacino F; Open Evidence Research, Barcelona, Spain.
  • Gómez C; Faculty of Information and Communication Science, Universitat Oberta de Catalunya, Barcelona, Spain.
  • Charris R; Universidad Nacional de Colombia, Bogotá, Colombia.
  • Montealegre F; Centro de Investigaciones para el Desarrollo, Bogotá, Colombia.
  • Liva G; Universidad Nacional de Colombia, Bogotá, Colombia.
  • Lupiáñez-Villanueva F; Centro de Investigaciones para el Desarrollo, Bogotá, Colombia.
  • Folkvord F; Universidad Nacional de Colombia, Bogotá, Colombia.
  • Veltri GA; Centro de Investigaciones para el Desarrollo, Bogotá, Colombia.
PLoS One ; 15(10): e0240876, 2020.
Article in English | MEDLINE | ID: covidwho-892381
ABSTRACT
Many different countries have been under lockdown or extreme social distancing measures to control the spread of COVID-19. The potentially far-reaching side effects of these measures have not yet been fully understood. In this study we analyse the results of a multi-country survey conducted in Italy (N = 3,504), Spain (N = 3,524) and the United Kingdom (N = 3,523), with two separate analyses. In the first analysis, we examine the elicitation of citizens' concerns over the downplaying of the economic consequences of the lockdown during the COVID-19 pandemic. We control for Social Desirability Bias through a list experiment included in the survey. In the second analysis, we examine the data from the same survey to predict the level of stress, anxiety and depression associated with being economically vulnerable and having been affected by a negative economic shock. To accomplish this, we have used a prediction algorithm based on machine learning techniques. To quantify the size of this affected population, we compare its magnitude with the number of people affected by COVID-19 using measures of susceptibility, vulnerability and behavioural change collected in the same questionnaire. We find that the concern for the economy and for "the way out" of the lockdown is diffuse and there is evidence of minor underreporting. Additionally, we estimate that around 42.8% of the populations in the three countries are at high risk of stress, anxiety, and depression, based on their level of economic vulnerability and their exposure to a negative economic shock.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Economic Recession / Pandemics / Betacoronavirus / Mental Disorders Type of study: Observational study / Prognostic study / Qualitative research / Randomized controlled trials Country/Region as subject: Europa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0240876

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Economic Recession / Pandemics / Betacoronavirus / Mental Disorders Type of study: Observational study / Prognostic study / Qualitative research / Randomized controlled trials Country/Region as subject: Europa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2020 Document Type: Article Affiliation country: Journal.pone.0240876