Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Applied health economics and health policy 2020-06, Vol.18 (3), p.345-350
Main Authors: Soofi, Moslem, Najafi, Farid, Karami-Matin, Behzad
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c573t-ebb6f39b0bd485aeb6426dc0c84a6fb1cef27e856b8c39ac840d32437b4037c13
cites cdi_FETCH-LOGICAL-c573t-ebb6f39b0bd485aeb6426dc0c84a6fb1cef27e856b8c39ac840d32437b4037c13
container_end_page 350
container_issue 3
container_start_page 345
container_title Applied health economics and health policy
container_volume 18
creator Soofi, Moslem
Najafi, Farid
Karami-Matin, Behzad
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
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7239690</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2413021567</sourcerecordid><originalsourceid>FETCH-LOGICAL-c573t-ebb6f39b0bd485aeb6426dc0c84a6fb1cef27e856b8c39ac840d32437b4037c13</originalsourceid><addsrcrecordid>eNp9UU1PVDEUbYxGEPwDLkwT19Xb79eNCQyoEzEsELdN29f3poR5Hdo3JPx7C4MoG1f35t5zzzm5B6F3FD5SAP2pCmCyI8CAAEgjiXiB9inVhtDOqJcPvSRSSbaH3tR6BcCUMuI12uNMcGk6vY--X9Y0jXg51TSu5oqHktf4OK7cbcrFXePTkKe8TqHiOeMfaU6jmyOeVxFfbEp0Pc4DXpz_Wp4Qag7Rq8Fd1_j2sR6gyy-nPxffyNn51-Xi6IwEqflMovdq4MaD70UnXfRKMNUHCJ1wavA0xIHp2Enlu8CNa2Po7w1rL4DrQPkB-rzj3Wz9OvYhTnOzajclrV25s9kl-3wzpZUd863VjBtloBF8eCQo-WYb62yv8rZMzbNlgnJgVCrdUGyHCiXXWuLwpEDB3gdgdwHYFoB9CMCKdvT-X29PJ38-3gB8B6htNY2x_NX-D-1vxRKQ2Q</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2413021567</pqid></control><display><type>article</type><title>Using Insights from Behavioral Economics to Mitigate the Spread of COVID-19</title><source>Social Science Premium Collection</source><source>ABI/INFORM Global</source><source>Politics Collection</source><source>Springer Nature</source><source>PAIS Index</source><source>Alma/SFX Local Collection</source><creator>Soofi, Moslem ; Najafi, Farid ; Karami-Matin, Behzad</creator><creatorcontrib>Soofi, Moslem ; Najafi, Farid ; Karami-Matin, Behzad</creatorcontrib><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><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 &amp; 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 &amp; 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 &amp; Public Health</subject><subject>Mental health</subject><subject>Optimism</subject><subject>Pandemics</subject><subject>Pandemics - economics</subject><subject>Pandemics - prevention &amp; control</subject><subject>Pandemics - statistics &amp; numerical data</subject><subject>Pharmacoeconomics and Health Outcomes</subject><subject>Pneumonia, Viral - prevention &amp; 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 - prevention &amp; control</topic><topic>Coronavirus Infections - psychology</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Decision Making</topic><topic>Economics</topic><topic>Economics, Behavioral - statistics &amp; numerical data</topic><topic>Health Administration</topic><topic>Health care policy</topic><topic>Health Economics</topic><topic>Health policy</topic><topic>Herding</topic><topic>Humans</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Mental health</topic><topic>Optimism</topic><topic>Pandemics</topic><topic>Pandemics - economics</topic><topic>Pandemics - prevention &amp; control</topic><topic>Pandemics - statistics &amp; numerical data</topic><topic>Pharmacoeconomics and Health Outcomes</topic><topic>Pneumonia, Viral - prevention &amp; control</topic><topic>Pneumonia, Viral - psychology</topic><topic>Practical Application</topic><topic>Public Health</topic><topic>Quality of Life Research</topic><topic>SARS-CoV-2</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Soofi, Moslem</creatorcontrib><creatorcontrib>Najafi, Farid</creatorcontrib><creatorcontrib>Karami-Matin, Behzad</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>PAIS Index</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Politics Collection</collection><collection>ProQuest Central</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Politics Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Political Science Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Applied health economics and health policy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Soofi, Moslem</au><au>Najafi, Farid</au><au>Karami-Matin, Behzad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using Insights from Behavioral Economics to Mitigate the Spread of COVID-19</atitle><jtitle>Applied health economics and health policy</jtitle><stitle>Appl Health Econ Health Policy</stitle><addtitle>Appl Health Econ Health Policy</addtitle><date>2020-06-01</date><risdate>2020</risdate><volume>18</volume><issue>3</issue><spage>345</spage><epage>350</epage><pages>345-350</pages><issn>1175-5652</issn><eissn>1179-1896</eissn><abstract>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.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>32435987</pmid><doi>10.1007/s40258-020-00595-4</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1175-5652
ispartof Applied health economics and health policy, 2020-06, Vol.18 (3), p.345-350
issn 1175-5652
1179-1896
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7239690
source Social Science Premium Collection; ABI/INFORM Global; Politics Collection; Springer Nature; PAIS Index; Alma/SFX Local Collection
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T21%3A30%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Using%20Insights%20from%20Behavioral%20Economics%20to%20Mitigate%20the%20Spread%20of%20COVID-19&rft.jtitle=Applied%20health%20economics%20and%20health%20policy&rft.au=Soofi,%20Moslem&rft.date=2020-06-01&rft.volume=18&rft.issue=3&rft.spage=345&rft.epage=350&rft.pages=345-350&rft.issn=1175-5652&rft.eissn=1179-1896&rft_id=info:doi/10.1007/s40258-020-00595-4&rft_dat=%3Cproquest_pubme%3E2413021567%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c573t-ebb6f39b0bd485aeb6426dc0c84a6fb1cef27e856b8c39ac840d32437b4037c13%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2413021567&rft_id=info:pmid/32435987&rfr_iscdi=true