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WeightNameValue
1000 Titel
  • Economic and Behavioral Influencers of Vaccination and Antimicrobial Use
1000 Autor/in
  1. Wagner, Caroline E. |
  2. Prentice, Joseph A. |
  3. Saad-Roy, Chadi M. |
  4. Yang, Luojun |
  5. Grenfell, Bryan T. |
  6. Levin, Simon A. |
  7. Laxminarayan, Ramanan |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-12-21
1000 Erschienen in
1000 Quellenangabe
  • 8:614113
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fpubh.2020.614113 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779682/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Despite vast improvements in global vaccination coverage during the last decade, there is a growing trend in vaccine hesitancy and/or refusal globally. This has implications for the acceptance and coverage of a potential vaccine against COVID-19. In the United States, the number of children exempt from vaccination for “philosophical belief-based” non-medical reasons increased in 12 of the 18 states that allowed this policy from 2009 to 2017 (1). Meanwhile, the overuse and misuse of antibiotics, especially in young children, have led to increasing rates of drug resistance that threaten our ability to treat infectious diseases. Vaccine hesitancy and antibiotic overuse exist side-by-side in the same population of young children, and it is unclear why one modality (antibiotics) is universally seen as safe and effective, while the other (vaccines) is seen as potentially hazardous by some. In this review, we consider the drivers shaping the use of vaccines and antibiotics in the context of three factors: individual incentives, risk perceptions, and social norms and group dynamics. We illustrate how these factors contribute to the societal and individual costs of vaccine underuse and antimicrobial overuse. Ultimately, we seek to understand these factors that are at the nexus of infectious disease epidemiology and social science to inform policy-making.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal hesitancy
lokal antimicrobial
lokal behavior
lokal vaccination
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/V2FnbmVyLCBDYXJvbGluZSBFLg==|https://frl.publisso.de/adhoc/uri/UHJlbnRpY2UsIEpvc2VwaCBBLg==|https://frl.publisso.de/adhoc/uri/U2FhZC1Sb3ksIENoYWRpIE0u|https://frl.publisso.de/adhoc/uri/WWFuZywgTHVvanVu|https://frl.publisso.de/adhoc/uri/R3JlbmZlbGwsIEJyeWFuIFQu|https://frl.publisso.de/adhoc/uri/TGV2aW4sIFNpbW9uIEEu|https://frl.publisso.de/adhoc/uri/TGF4bWluYXJheWFuLCBSYW1hbmFu
1000 Label
1000 Förderer
  1. James S. McDonnell Foundation |
  2. Centers for Disease Control and Prevention |
  3. Science and Technology Directorate Department of Homeland Security |
  4. Fogarty International Center |
  5. National Institutes of Health |
  6. National Science Foundation |
  7. National Science Foundation Expeditions |
  8. C3.ai Digital Transformation Institute |
  9. Google |
  10. C3.ai Digital Transformation Institute |
  11. Natural Sciences and Engineering Research Council of Canada |
1000 Fördernummer
  1. -
  2. -
  3. -
  4. -
  5. -
  6. CNS-2027908
  7. CCF1917819
  8. AWD1006615
  9. -
  10. AWD1006615
  11. -
1000 Förderprogramm
  1. 21st Century Science Initiative Collaborative Award in Understanding Dynamic and Multiscale Systems
  2. -
  3. RAPIDD program
  4. -
  5. -
  6. -
  7. -
  8. -
  9. 21st Century Science Initiative Collaborative Award in Understanding Dynamic and Multiscale Systems
  10. -
  11. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer James S. McDonnell Foundation |
    1000 Förderprogramm 21st Century Science Initiative Collaborative Award in Understanding Dynamic and Multiscale Systems
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Centers for Disease Control and Prevention |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Science and Technology Directorate Department of Homeland Security |
    1000 Förderprogramm RAPIDD program
    1000 Fördernummer -
  4. 1000 joinedFunding-child
    1000 Förderer Fogarty International Center |
    1000 Förderprogramm -
    1000 Fördernummer -
  5. 1000 joinedFunding-child
    1000 Förderer National Institutes of Health |
    1000 Förderprogramm -
    1000 Fördernummer -
  6. 1000 joinedFunding-child
    1000 Förderer National Science Foundation |
    1000 Förderprogramm -
    1000 Fördernummer CNS-2027908
  7. 1000 joinedFunding-child
    1000 Förderer National Science Foundation Expeditions |
    1000 Förderprogramm -
    1000 Fördernummer CCF1917819
  8. 1000 joinedFunding-child
    1000 Förderer C3.ai Digital Transformation Institute |
    1000 Förderprogramm -
    1000 Fördernummer AWD1006615
  9. 1000 joinedFunding-child
    1000 Förderer Google |
    1000 Förderprogramm 21st Century Science Initiative Collaborative Award in Understanding Dynamic and Multiscale Systems
    1000 Fördernummer -
  10. 1000 joinedFunding-child
    1000 Förderer C3.ai Digital Transformation Institute |
    1000 Förderprogramm -
    1000 Fördernummer AWD1006615
  11. 1000 joinedFunding-child
    1000 Förderer Natural Sciences and Engineering Research Council of Canada |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6428181.rdf
1000 Erstellt am 2021-06-16T08:04:29.675+0200
1000 Erstellt von 218
1000 beschreibt frl:6428181
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet 2022-08-11T09:47:32.518+0200
1000 Objekt bearb. Thu Aug 11 09:47:19 CEST 2022
1000 Vgl. frl:6428181
1000 Oai Id
  1. oai:frl.publisso.de:frl:6428181 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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