Indirect Effects of COVID-19 Nonpharmaceutical Interventions on Vaccine Acceptance:
The information set from which individuals make their decision on vaccination includes signals from trusted agents, such as governments, community leaders, and the media. By implementing restrictions, or by relaxing them, governments can provide a signal about the underlying risk of the pandemic and...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Washington, D.C
The World Bank
2022
|
Schlagworte: | |
Online-Zugang: | kostenfrei |
Zusammenfassung: | The information set from which individuals make their decision on vaccination includes signals from trusted agents, such as governments, community leaders, and the media. By implementing restrictions, or by relaxing them, governments can provide a signal about the underlying risk of the pandemic and indirectly affect vaccination take-up. Rather than focusing on measures specifically designed to increase vaccine acceptance, this paper studies how governments' nonpharmaceutical policy responses to the pandemic can modify the degree of preventive health behavior, including vaccination. To do so, the paper uses repeated waves of a global survey on COVID-19 beliefs, behaviors, and norms covering 67 countries from August 2020 to February 2021. Controlling for the usual determinants, the analysis explores how individuals' willingness to get vaccinated is affected by changes in government restriction measures (as measured by the Oxford Stringency Index). This relationship is mediated by individual characteristics, social norms (social pressure to conform with what most people do), and trust in government institutions. The results point to a complex picture as the implementation of restrictions is associated with increased acceptance in some contexts and decreased acceptance in others. The stringency of government restrictions has significant positive correlations with vaccine acceptance in contexts of weak social norms of vaccine acceptance and lower trust in government. In countries or communities where social norms are tighter and trust in government health authorities is high, vaccine acceptance is high but less sensitive to changes in policies. These results suggest that the indirect effect of government policy stringency is stronger among individuals who report lower trust and weaker social norms of vaccine acceptance |
Beschreibung: | 1 Online-Ressource (28 Seiten) |
DOI: | 10.1596/1813-9450-10106 |
Internformat
MARC
LEADER | 00000nmm a22000001c 4500 | ||
---|---|---|---|
001 | BV049080162 | ||
003 | DE-604 | ||
007 | cr|uuu---uuuuu | ||
008 | 230731s2022 xxu|||| o||u| ||||||eng d | ||
024 | 7 | |a 10.1596/1813-9450-10106 |2 doi | |
035 | |a (ZDB-1-WBA)080816347 | ||
035 | |a (OCoLC)1392150611 | ||
035 | |a (DE-599)KEP080816347 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
044 | |a xxu |c XD-US | ||
049 | |a DE-12 |a DE-521 |a DE-573 |a DE-523 |a DE-Re13 |a DE-19 |a DE-355 |a DE-703 |a DE-91 |a DE-706 |a DE-29 |a DE-M347 |a DE-473 |a DE-824 |a DE-20 |a DE-739 |a DE-1043 |a DE-863 |a DE-862 | ||
100 | 1 | |a Bussolo, Maurizio |e Verfasser |4 aut | |
245 | 1 | 0 | |a Indirect Effects of COVID-19 Nonpharmaceutical Interventions on Vaccine Acceptance |c Maurizio Bussolo |
264 | 1 | |a Washington, D.C |b The World Bank |c 2022 | |
300 | |a 1 Online-Ressource (28 Seiten) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
520 | 3 | |a The information set from which individuals make their decision on vaccination includes signals from trusted agents, such as governments, community leaders, and the media. By implementing restrictions, or by relaxing them, governments can provide a signal about the underlying risk of the pandemic and indirectly affect vaccination take-up. Rather than focusing on measures specifically designed to increase vaccine acceptance, this paper studies how governments' nonpharmaceutical policy responses to the pandemic can modify the degree of preventive health behavior, including vaccination. To do so, the paper uses repeated waves of a global survey on COVID-19 beliefs, behaviors, and norms covering 67 countries from August 2020 to February 2021. Controlling for the usual determinants, the analysis explores how individuals' willingness to get vaccinated is affected by changes in government restriction measures (as measured by the Oxford Stringency Index). This relationship is mediated by individual characteristics, social norms (social pressure to conform with what most people do), and trust in government institutions. The results point to a complex picture as the implementation of restrictions is associated with increased acceptance in some contexts and decreased acceptance in others. The stringency of government restrictions has significant positive correlations with vaccine acceptance in contexts of weak social norms of vaccine acceptance and lower trust in government. In countries or communities where social norms are tighter and trust in government health authorities is high, vaccine acceptance is high but less sensitive to changes in policies. These results suggest that the indirect effect of government policy stringency is stronger among individuals who report lower trust and weaker social norms of vaccine acceptance | |
650 | 4 | |a COVID-19 | |
650 | 4 | |a Health, Nutrition and Population | |
650 | 4 | |a Immunizations | |
650 | 4 | |a Non-Pharmacetutical Interventions | |
650 | 4 | |a Norms | |
650 | 4 | |a Pandemic | |
650 | 4 | |a Pharmaceuticals and Pharmacoeconomics | |
650 | 4 | |a Statistics | |
650 | 4 | |a Trust | |
650 | 4 | |a Vaccine Acceptance | |
650 | 4 | |a Vaccine Hesitancy | |
700 | 1 | |a Sarma, Nayantara |e Sonstige |4 oth | |
700 | 1 | |a Torre, Ivan |e Sonstige |4 oth | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Bussolo, Maurizio |t Indirect Effects of COVID-19 Nonpharmaceutical Interventions on Vaccine Acceptance |d Washington, D.C. : The World Bank, 2022 |
856 | 4 | 0 | |u https://doi.org/10.1596/1813-9450-10106 |x Verlag |z kostenfrei |3 Volltext |
912 | |a ZDB-1-WBA | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034342052 |
Datensatz im Suchindex
_version_ | 1824556235830067200 |
---|---|
adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Bussolo, Maurizio |
author_facet | Bussolo, Maurizio |
author_role | aut |
author_sort | Bussolo, Maurizio |
author_variant | m b mb |
building | Verbundindex |
bvnumber | BV049080162 |
collection | ZDB-1-WBA |
ctrlnum | (ZDB-1-WBA)080816347 (OCoLC)1392150611 (DE-599)KEP080816347 |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
doi_str_mv | 10.1596/1813-9450-10106 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a22000001c 4500</leader><controlfield tag="001">BV049080162</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">230731s2022 xxu|||| o||u| ||||||eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1596/1813-9450-10106</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-1-WBA)080816347</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1392150611</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP080816347</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">XD-US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-12</subfield><subfield code="a">DE-521</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-Re13</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-1043</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-862</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Bussolo, Maurizio</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Indirect Effects of COVID-19 Nonpharmaceutical Interventions on Vaccine Acceptance</subfield><subfield code="c">Maurizio Bussolo</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Washington, D.C</subfield><subfield code="b">The World Bank</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (28 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">The information set from which individuals make their decision on vaccination includes signals from trusted agents, such as governments, community leaders, and the media. By implementing restrictions, or by relaxing them, governments can provide a signal about the underlying risk of the pandemic and indirectly affect vaccination take-up. Rather than focusing on measures specifically designed to increase vaccine acceptance, this paper studies how governments' nonpharmaceutical policy responses to the pandemic can modify the degree of preventive health behavior, including vaccination. To do so, the paper uses repeated waves of a global survey on COVID-19 beliefs, behaviors, and norms covering 67 countries from August 2020 to February 2021. Controlling for the usual determinants, the analysis explores how individuals' willingness to get vaccinated is affected by changes in government restriction measures (as measured by the Oxford Stringency Index). This relationship is mediated by individual characteristics, social norms (social pressure to conform with what most people do), and trust in government institutions. The results point to a complex picture as the implementation of restrictions is associated with increased acceptance in some contexts and decreased acceptance in others. The stringency of government restrictions has significant positive correlations with vaccine acceptance in contexts of weak social norms of vaccine acceptance and lower trust in government. In countries or communities where social norms are tighter and trust in government health authorities is high, vaccine acceptance is high but less sensitive to changes in policies. These results suggest that the indirect effect of government policy stringency is stronger among individuals who report lower trust and weaker social norms of vaccine acceptance</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COVID-19</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Health, Nutrition and Population</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Immunizations</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Non-Pharmacetutical Interventions</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Norms</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pandemic</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pharmaceuticals and Pharmacoeconomics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Trust</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vaccine Acceptance</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vaccine Hesitancy</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sarma, Nayantara</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Torre, Ivan</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="a">Bussolo, Maurizio</subfield><subfield code="t">Indirect Effects of COVID-19 Nonpharmaceutical Interventions on Vaccine Acceptance</subfield><subfield code="d">Washington, D.C. : The World Bank, 2022</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1596/1813-9450-10106</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-WBA</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034342052</subfield></datafield></record></collection> |
id | DE-604.BV049080162 |
illustrated | Not Illustrated |
index_date | 2024-07-03T22:27:57Z |
indexdate | 2025-02-20T07:20:20Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034342052 |
oclc_num | 1392150611 |
open_access_boolean | 1 |
owner | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
owner_facet | DE-12 DE-521 DE-573 DE-523 DE-Re13 DE-BY-UBR DE-19 DE-BY-UBM DE-355 DE-BY-UBR DE-703 DE-91 DE-BY-TUM DE-706 DE-29 DE-M347 DE-473 DE-BY-UBG DE-824 DE-20 DE-739 DE-1043 DE-863 DE-BY-FWS DE-862 DE-BY-FWS |
physical | 1 Online-Ressource (28 Seiten) |
psigel | ZDB-1-WBA |
publishDate | 2022 |
publishDateSearch | 2022 |
publishDateSort | 2022 |
publisher | The World Bank |
record_format | marc |
spellingShingle | Bussolo, Maurizio Indirect Effects of COVID-19 Nonpharmaceutical Interventions on Vaccine Acceptance COVID-19 Health, Nutrition and Population Immunizations Non-Pharmacetutical Interventions Norms Pandemic Pharmaceuticals and Pharmacoeconomics Statistics Trust Vaccine Acceptance Vaccine Hesitancy |
title | Indirect Effects of COVID-19 Nonpharmaceutical Interventions on Vaccine Acceptance |
title_auth | Indirect Effects of COVID-19 Nonpharmaceutical Interventions on Vaccine Acceptance |
title_exact_search | Indirect Effects of COVID-19 Nonpharmaceutical Interventions on Vaccine Acceptance |
title_exact_search_txtP | Indirect Effects of COVID-19 Nonpharmaceutical Interventions on Vaccine Acceptance |
title_full | Indirect Effects of COVID-19 Nonpharmaceutical Interventions on Vaccine Acceptance Maurizio Bussolo |
title_fullStr | Indirect Effects of COVID-19 Nonpharmaceutical Interventions on Vaccine Acceptance Maurizio Bussolo |
title_full_unstemmed | Indirect Effects of COVID-19 Nonpharmaceutical Interventions on Vaccine Acceptance Maurizio Bussolo |
title_short | Indirect Effects of COVID-19 Nonpharmaceutical Interventions on Vaccine Acceptance |
title_sort | indirect effects of covid 19 nonpharmaceutical interventions on vaccine acceptance |
topic | COVID-19 Health, Nutrition and Population Immunizations Non-Pharmacetutical Interventions Norms Pandemic Pharmaceuticals and Pharmacoeconomics Statistics Trust Vaccine Acceptance Vaccine Hesitancy |
topic_facet | COVID-19 Health, Nutrition and Population Immunizations Non-Pharmacetutical Interventions Norms Pandemic Pharmaceuticals and Pharmacoeconomics Statistics Trust Vaccine Acceptance Vaccine Hesitancy |
url | https://doi.org/10.1596/1813-9450-10106 |
work_keys_str_mv | AT bussolomaurizio indirecteffectsofcovid19nonpharmaceuticalinterventionsonvaccineacceptance AT sarmanayantara indirecteffectsofcovid19nonpharmaceuticalinterventionsonvaccineacceptance AT torreivan indirecteffectsofcovid19nonpharmaceuticalinterventionsonvaccineacceptance |