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Using Insights from Behavioral Economics to Mitigate the Spread of COVID-19
The outbreak of 2019 coronavirus disease (COVID-19) has become a public health emergency of international concern. The number of COVID-infected individuals and related deaths continues to rise rapidly. Encouraging people to adopt and sustain preventive behaviors is a central focus of public health p...
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Published in: | Applied health economics and health policy 2020-06, Vol.18 (3), p.345-350 |
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description | The outbreak of 2019 coronavirus disease (COVID-19) has become a public health emergency of international concern. The number of COVID-infected individuals and related deaths continues to rise rapidly. Encouraging people to adopt and sustain preventive behaviors is a central focus of public health policies that seek to mitigate the spread of COVID-19. Public health policy needs improved methods to encourage people to adhere to COVID-19-preventive behaviors. In this paper, we introduce a number of insights from behavioral economics that help explain why people may behave irrationally during the COVID-19 pandemic. In particular, present bias, status quo bias, framing effect, optimism bias, affect heuristic, and herding behavior are discussed. We hope this paper will shed light on how insights from behavioral economics can enrich public health policies and interventions in the fight against COVID-19. |
doi_str_mv | 10.1007/s40258-020-00595-4 |
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The number of COVID-infected individuals and related deaths continues to rise rapidly. Encouraging people to adopt and sustain preventive behaviors is a central focus of public health policies that seek to mitigate the spread of COVID-19. Public health policy needs improved methods to encourage people to adhere to COVID-19-preventive behaviors. In this paper, we introduce a number of insights from behavioral economics that help explain why people may behave irrationally during the COVID-19 pandemic. In particular, present bias, status quo bias, framing effect, optimism bias, affect heuristic, and herding behavior are discussed. We hope this paper will shed light on how insights from behavioral economics can enrich public health policies and interventions in the fight against COVID-19.</description><identifier>ISSN: 1175-5652</identifier><identifier>EISSN: 1179-1896</identifier><identifier>DOI: 10.1007/s40258-020-00595-4</identifier><identifier>PMID: 32435987</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject><![CDATA[Behavioral economics ; Betacoronavirus ; Bias ; Coronavirus Infections - prevention & control ; Coronavirus Infections - psychology ; Coronaviruses ; COVID-19 ; Decision Making ; Economics ; Economics, Behavioral - statistics & numerical data ; Health Administration ; Health care policy ; Health Economics ; Health policy ; Herding ; Humans ; Medicine ; Medicine & Public Health ; Mental health ; Optimism ; Pandemics ; Pandemics - economics ; Pandemics - prevention & control ; Pandemics - statistics & numerical data ; Pharmacoeconomics and Health Outcomes ; Pneumonia, Viral - prevention & control ; Pneumonia, Viral - psychology ; Practical Application ; Public Health ; Quality of Life Research ; SARS-CoV-2]]></subject><ispartof>Applied health economics and health policy, 2020-06, Vol.18 (3), p.345-350</ispartof><rights>Springer Nature Switzerland AG 2020</rights><rights>Copyright Springer Nature B.V. Jun 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c573t-ebb6f39b0bd485aeb6426dc0c84a6fb1cef27e856b8c39ac840d32437b4037c13</citedby><cites>FETCH-LOGICAL-c573t-ebb6f39b0bd485aeb6426dc0c84a6fb1cef27e856b8c39ac840d32437b4037c13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2413021567/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2413021567?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,776,780,881,11668,21367,21374,27845,27903,27904,33590,33964,36039,43712,43927,44342,73967,74214,74641</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32435987$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Soofi, Moslem</creatorcontrib><creatorcontrib>Najafi, Farid</creatorcontrib><creatorcontrib>Karami-Matin, Behzad</creatorcontrib><title>Using Insights from Behavioral Economics to Mitigate the Spread of COVID-19</title><title>Applied health economics and health policy</title><addtitle>Appl Health Econ Health Policy</addtitle><addtitle>Appl Health Econ Health Policy</addtitle><description>The outbreak of 2019 coronavirus disease (COVID-19) has become a public health emergency of international concern. The number of COVID-infected individuals and related deaths continues to rise rapidly. Encouraging people to adopt and sustain preventive behaviors is a central focus of public health policies that seek to mitigate the spread of COVID-19. Public health policy needs improved methods to encourage people to adhere to COVID-19-preventive behaviors. In this paper, we introduce a number of insights from behavioral economics that help explain why people may behave irrationally during the COVID-19 pandemic. In particular, present bias, status quo bias, framing effect, optimism bias, affect heuristic, and herding behavior are discussed. We hope this paper will shed light on how insights from behavioral economics can enrich public health policies and interventions in the fight against COVID-19.</description><subject>Behavioral economics</subject><subject>Betacoronavirus</subject><subject>Bias</subject><subject>Coronavirus Infections - prevention & control</subject><subject>Coronavirus Infections - psychology</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Decision Making</subject><subject>Economics</subject><subject>Economics, Behavioral - statistics & numerical data</subject><subject>Health Administration</subject><subject>Health care policy</subject><subject>Health Economics</subject><subject>Health policy</subject><subject>Herding</subject><subject>Humans</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mental health</subject><subject>Optimism</subject><subject>Pandemics</subject><subject>Pandemics - economics</subject><subject>Pandemics - prevention & control</subject><subject>Pandemics - statistics & numerical data</subject><subject>Pharmacoeconomics and Health Outcomes</subject><subject>Pneumonia, Viral - prevention & control</subject><subject>Pneumonia, Viral - psychology</subject><subject>Practical Application</subject><subject>Public Health</subject><subject>Quality of Life Research</subject><subject>SARS-CoV-2</subject><issn>1175-5652</issn><issn>1179-1896</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><sourceid>ALSLI</sourceid><sourceid>DPSOV</sourceid><sourceid>M0C</sourceid><sourceid>M2L</sourceid><recordid>eNp9UU1PVDEUbYxGEPwDLkwT19Xb79eNCQyoEzEsELdN29f3poR5Hdo3JPx7C4MoG1f35t5zzzm5B6F3FD5SAP2pCmCyI8CAAEgjiXiB9inVhtDOqJcPvSRSSbaH3tR6BcCUMuI12uNMcGk6vY--X9Y0jXg51TSu5oqHktf4OK7cbcrFXePTkKe8TqHiOeMfaU6jmyOeVxFfbEp0Pc4DXpz_Wp4Qag7Rq8Fd1_j2sR6gyy-nPxffyNn51-Xi6IwEqflMovdq4MaD70UnXfRKMNUHCJ1wavA0xIHp2Enlu8CNa2Po7w1rL4DrQPkB-rzj3Wz9OvYhTnOzajclrV25s9kl-3wzpZUd863VjBtloBF8eCQo-WYb62yv8rZMzbNlgnJgVCrdUGyHCiXXWuLwpEDB3gdgdwHYFoB9CMCKdvT-X29PJ38-3gB8B6htNY2x_NX-D-1vxRKQ2Q</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Soofi, Moslem</creator><creator>Najafi, Farid</creator><creator>Karami-Matin, Behzad</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>4T-</scope><scope>7TQ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88C</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DHY</scope><scope>DON</scope><scope>DPSOV</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KC-</scope><scope>L.-</scope><scope>M0C</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2L</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>5PM</scope></search><sort><creationdate>20200601</creationdate><title>Using Insights from Behavioral Economics to Mitigate the Spread of COVID-19</title><author>Soofi, Moslem ; Najafi, Farid ; Karami-Matin, Behzad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c573t-ebb6f39b0bd485aeb6426dc0c84a6fb1cef27e856b8c39ac840d32437b4037c13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Behavioral economics</topic><topic>Betacoronavirus</topic><topic>Bias</topic><topic>Coronavirus Infections - 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subjects | Behavioral economics Betacoronavirus Bias Coronavirus Infections - prevention & control Coronavirus Infections - psychology Coronaviruses COVID-19 Decision Making Economics Economics, Behavioral - statistics & numerical data Health Administration Health care policy Health Economics Health policy Herding Humans Medicine Medicine & Public Health Mental health Optimism Pandemics Pandemics - economics Pandemics - prevention & control Pandemics - statistics & numerical data Pharmacoeconomics and Health Outcomes Pneumonia, Viral - prevention & control Pneumonia, Viral - psychology Practical Application Public Health Quality of Life Research SARS-CoV-2 |
title | Using Insights from Behavioral Economics to Mitigate the Spread of COVID-19 |
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