Know your epidemic, know your response: Early perceptions of COVID-19 and self-reported social distancing in the United States.
Identifieur interne : 000345 ( Main/Corpus ); précédent : 000344; suivant : 000346Know your epidemic, know your response: Early perceptions of COVID-19 and self-reported social distancing in the United States.
Auteurs : Alberto Ciancio ; Fabrice K Mpfen ; Iliana V. Kohler ; Daniel Bennett ; W Ndi Bruine De Bruin ; Jill Darling ; Arie Kapteyn ; Jürgen Maurer ; Hans-Peter KohlerSource :
- PloS one [ 1932-6203 ] ; 2020.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (prevention & control), Coronavirus Infections (psychology), Female (MeSH), Health Knowledge, Attitudes, Practice (MeSH), Humans (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (prevention & control), Pessimism (MeSH), Pneumonia, Viral (epidemiology), Pneumonia, Viral (prevention & control), Pneumonia, Viral (psychology), Quarantine (psychology), Self Report (MeSH), Social Isolation (MeSH), United States (MeSH).
- MESH :
- geographic : United States.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- prevention & control : Coronavirus Infections, Pandemics, Pneumonia, Viral.
- psychology : Coronavirus Infections, Pneumonia, Viral, Quarantine.
- Adult, Aged, Aged, 80 and over, Female, Health Knowledge, Attitudes, Practice, Humans, Male, Middle Aged, Pessimism, Self Report, Social Isolation.
Abstract
As COVID-19 is rapidly unfolding in the United States, it is important to understand how individuals perceive the health and economic risks of the pandemic. In the absence of a readily available medical treatment, any strategy to contain the virus in the US will depend on the behavioral response of US residents. In this paper, we study individual's perceptions on COVID-19 and social distancing during the week of March 10-16, 2020, a week when COVID-19 was officially declared to be a pandemic by WHO and when new infections in the US were more than doubling every three days. Using a nationally representative sample of 5,414 respondents 18+ years of age from the Understanding America Study (UAS), we find that perceptions about COVID-19 health risks and economic consequences in the US population were largely pessimistic and highly variable by age and education. US residents who are young and do not have a college degree perceived a lower risk of getting infected but a higher probability of running out of money than others. Most individuals reported taking some steps to distance themselves from others but important differences emerge by gender and by source of information on COVID-19. Using state and day fixed-effect regressions, we show that perceptions of the health risks closely followed the number of COVID-19 cases in the country, and perceptions of the economic consequences and the prevalence of social distancing were driven upwards by both national and state-level cases. Unless addressed by effective health communication that reaches individuals across all social strata, variations in perceptions about COVID-19 epidemic raise concerns about the ability of the US to implement and sustain the widespread and restrictive policies that are required to curtail the pandemic.
DOI: 10.1371/journal.pone.0238341
PubMed: 32886671
PubMed Central: PMC7473541
Links to Exploration step
pubmed:32886671Le document en format XML
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Kohler</name><affiliation><nlm:affiliation>Population Aging Research Center and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Bennett, Daniel" sort="Bennett, Daniel" uniqKey="Bennett D" first="Daniel" last="Bennett">Daniel Bennett</name><affiliation><nlm:affiliation>Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Bruine De Bruin, W Ndi" sort="Bruine De Bruin, W Ndi" uniqKey="Bruine De Bruin W" first="W Ndi" last="Bruine De Bruin">W Ndi Bruine De Bruin</name><affiliation><nlm:affiliation>Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Darling, Jill" sort="Darling, Jill" uniqKey="Darling J" first="Jill" last="Darling">Jill Darling</name><affiliation><nlm:affiliation>Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Kapteyn, Arie" sort="Kapteyn, Arie" uniqKey="Kapteyn A" first="Arie" last="Kapteyn">Arie Kapteyn</name><affiliation><nlm:affiliation>Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Maurer, Jurgen" sort="Maurer, Jurgen" uniqKey="Maurer J" first="Jürgen" last="Maurer">Jürgen Maurer</name><affiliation><nlm:affiliation>Department of Economics, University of Lausanne, Vaud, Switzerland.</nlm:affiliation></affiliation></author><author><name sortKey="Kohler, Hans Peter" sort="Kohler, Hans Peter" uniqKey="Kohler H" first="Hans-Peter" last="Kohler">Hans-Peter Kohler</name><affiliation><nlm:affiliation>Population Aging Research Center and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32886671</idno><idno type="pmid">32886671</idno><idno type="doi">10.1371/journal.pone.0238341</idno><idno type="pmc">PMC7473541</idno><idno type="wicri:Area/Main/Corpus">000345</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000345</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Know your epidemic, know your response: Early perceptions of COVID-19 and self-reported social distancing in the United States.</title><author><name sortKey="Ciancio, Alberto" sort="Ciancio, Alberto" uniqKey="Ciancio A" first="Alberto" last="Ciancio">Alberto Ciancio</name><affiliation><nlm:affiliation>Population Aging Research Center and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Department of Economics, University of Lausanne, Vaud, Switzerland.</nlm:affiliation></affiliation></author><author><name sortKey="K Mpfen, Fabrice" sort="K Mpfen, Fabrice" uniqKey="K Mpfen F" first="Fabrice" last="K Mpfen">Fabrice K Mpfen</name><affiliation><nlm:affiliation>Population Aging Research Center and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Kohler, Iliana V" sort="Kohler, Iliana V" uniqKey="Kohler I" first="Iliana V" last="Kohler">Iliana V. Kohler</name><affiliation><nlm:affiliation>Population Aging Research Center and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Bennett, Daniel" sort="Bennett, Daniel" uniqKey="Bennett D" first="Daniel" last="Bennett">Daniel Bennett</name><affiliation><nlm:affiliation>Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Bruine De Bruin, W Ndi" sort="Bruine De Bruin, W Ndi" uniqKey="Bruine De Bruin W" first="W Ndi" last="Bruine De Bruin">W Ndi Bruine De Bruin</name><affiliation><nlm:affiliation>Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Darling, Jill" sort="Darling, Jill" uniqKey="Darling J" first="Jill" last="Darling">Jill Darling</name><affiliation><nlm:affiliation>Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Kapteyn, Arie" sort="Kapteyn, Arie" uniqKey="Kapteyn A" first="Arie" last="Kapteyn">Arie Kapteyn</name><affiliation><nlm:affiliation>Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States of America.</nlm:affiliation></affiliation></author><author><name sortKey="Maurer, Jurgen" sort="Maurer, Jurgen" uniqKey="Maurer J" first="Jürgen" last="Maurer">Jürgen Maurer</name><affiliation><nlm:affiliation>Department of Economics, University of Lausanne, Vaud, Switzerland.</nlm:affiliation></affiliation></author><author><name sortKey="Kohler, Hans Peter" sort="Kohler, Hans Peter" uniqKey="Kohler H" first="Hans-Peter" last="Kohler">Hans-Peter Kohler</name><affiliation><nlm:affiliation>Population Aging Research Center and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America.</nlm:affiliation></affiliation></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Coronavirus Infections (epidemiology)</term><term>Coronavirus Infections (prevention & control)</term><term>Coronavirus Infections (psychology)</term><term>Female (MeSH)</term><term>Health Knowledge, Attitudes, Practice (MeSH)</term><term>Humans (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (prevention & control)</term><term>Pessimism (MeSH)</term><term>Pneumonia, Viral (epidemiology)</term><term>Pneumonia, Viral (prevention & control)</term><term>Pneumonia, Viral (psychology)</term><term>Quarantine (psychology)</term><term>Self Report (MeSH)</term><term>Social Isolation (MeSH)</term><term>United States (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>United States</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Coronavirus Infections</term><term>Pandemics</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term><term>Quarantine</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Aged, 80 and over</term><term>Female</term><term>Health Knowledge, Attitudes, Practice</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Pessimism</term><term>Self Report</term><term>Social Isolation</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">As COVID-19 is rapidly unfolding in the United States, it is important to understand how individuals perceive the health and economic risks of the pandemic. In the absence of a readily available medical treatment, any strategy to contain the virus in the US will depend on the behavioral response of US residents. In this paper, we study individual's perceptions on COVID-19 and social distancing during the week of March 10-16, 2020, a week when COVID-19 was officially declared to be a pandemic by WHO and when new infections in the US were more than doubling every three days. Using a nationally representative sample of 5,414 respondents 18+ years of age from the Understanding America Study (UAS), we find that perceptions about COVID-19 health risks and economic consequences in the US population were largely pessimistic and highly variable by age and education. US residents who are young and do not have a college degree perceived a lower risk of getting infected but a higher probability of running out of money than others. Most individuals reported taking some steps to distance themselves from others but important differences emerge by gender and by source of information on COVID-19. Using state and day fixed-effect regressions, we show that perceptions of the health risks closely followed the number of COVID-19 cases in the country, and perceptions of the economic consequences and the prevalence of social distancing were driven upwards by both national and state-level cases. Unless addressed by effective health communication that reaches individuals across all social strata, variations in perceptions about COVID-19 epidemic raise concerns about the ability of the US to implement and sustain the widespread and restrictive policies that are required to curtail the pandemic.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32886671</PMID><DateCompleted><Year>2020</Year><Month>09</Month><Day>17</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>17</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>15</Volume><Issue>9</Issue><PubDate><Year>2020</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS One</ISOAbbreviation></Journal><ArticleTitle>Know your epidemic, know your response: Early perceptions of COVID-19 and self-reported social distancing in the United States.</ArticleTitle><Pagination><MedlinePgn>e0238341</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0238341</ELocationID><Abstract><AbstractText>As COVID-19 is rapidly unfolding in the United States, it is important to understand how individuals perceive the health and economic risks of the pandemic. In the absence of a readily available medical treatment, any strategy to contain the virus in the US will depend on the behavioral response of US residents. In this paper, we study individual's perceptions on COVID-19 and social distancing during the week of March 10-16, 2020, a week when COVID-19 was officially declared to be a pandemic by WHO and when new infections in the US were more than doubling every three days. Using a nationally representative sample of 5,414 respondents 18+ years of age from the Understanding America Study (UAS), we find that perceptions about COVID-19 health risks and economic consequences in the US population were largely pessimistic and highly variable by age and education. US residents who are young and do not have a college degree perceived a lower risk of getting infected but a higher probability of running out of money than others. Most individuals reported taking some steps to distance themselves from others but important differences emerge by gender and by source of information on COVID-19. Using state and day fixed-effect regressions, we show that perceptions of the health risks closely followed the number of COVID-19 cases in the country, and perceptions of the economic consequences and the prevalence of social distancing were driven upwards by both national and state-level cases. Unless addressed by effective health communication that reaches individuals across all social strata, variations in perceptions about COVID-19 epidemic raise concerns about the ability of the US to implement and sustain the widespread and restrictive policies that are required to curtail the pandemic.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ciancio</LastName><ForeName>Alberto</ForeName><Initials>A</Initials><Identifier Source="ORCID">0000-0001-5346-0885</Identifier><AffiliationInfo><Affiliation>Population Aging Research Center and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Economics, University of Lausanne, Vaud, Switzerland.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kämpfen</LastName><ForeName>Fabrice</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Population Aging Research Center and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kohler</LastName><ForeName>Iliana V</ForeName><Initials>IV</Initials><AffiliationInfo><Affiliation>Population Aging Research Center and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bennett</LastName><ForeName>Daniel</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bruine de Bruin</LastName><ForeName>Wändi</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Darling</LastName><ForeName>Jill</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kapteyn</LastName><ForeName>Arie</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Center for Economic and Social Research, University of Southern California, Los Angeles, CA, United States of America.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Maurer</LastName><ForeName>Jürgen</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Department of Economics, University of Lausanne, Vaud, Switzerland.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kohler</LastName><ForeName>Hans-Peter</ForeName><Initials>HP</Initials><AffiliationInfo><Affiliation>Population Aging Research Center and Population Studies Center, University of Pennsylvania, Philadelphia, PA, United States of America.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>P30 AG012836</GrantID><Acronym>AG</Acronym><Agency>NIA NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R24 HD044964</GrantID><Acronym>HD</Acronym><Agency>NICHD NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>09</Month><Day>04</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>PLoS One</MedlineTA><NlmUniqueID>101285081</NlmUniqueID><ISSNLinking>1932-6203</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName><QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007722" MajorTopicYN="Y">Health Knowledge, Attitudes, Practice</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000067657" MajorTopicYN="N">Pessimism</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & 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