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Models of determinants of COVID-19 vaccine hesitancy in non-pregnant and pregnant population: Review of current literature".
Tostrud, Lauren; Thelen, Julia; Palatnik, Anna.
  • Tostrud L; Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
  • Thelen J; Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
  • Palatnik A; Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Hum Vaccin Immunother ; : 2138047, 2022 Nov 07.
Article in English | MEDLINE | ID: covidwho-2107200
ABSTRACT
Vaccination has proven to be the most effective tool in controlling the COVID-19 pandemic. While pregnant individuals are considered to be a high-risk population and are more likely to experience adverse effects from COVID-19, vaccination rates among pregnant individuals are significantly lower than in the general population. The Health Belief Model (HBM), Theory of Planned Behavior (TPB), 3C model, 5C model, and 5A model have been used to assess vaccination hesitancy behaviors. In this paper, we review the use of each of these models to address vaccine hesitancy, with a focus on the pregnant population and the COVID-19 vaccine. The HBM, TPB, 3C model, and 5C model have demonstrated great versatility in their ability to evaluate, explain, and modify vaccine hesitancy and behavior. Up to date, the HBM and 3C models appear to be the most effective models to study and address vaccination hesitancy within the pregnant persons.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Topics: Vaccines Language: English Journal: Hum Vaccin Immunother Year: 2022 Document Type: Article Affiliation country: 21645515.2022.2138047

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Topics: Vaccines Language: English Journal: Hum Vaccin Immunother Year: 2022 Document Type: Article Affiliation country: 21645515.2022.2138047