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10.1007/s10654-021-00728-6

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suck abstract from ncbi


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pmid33649879      Eur+J+Epidemiol 2021 ; 36 (2): 197-211
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  • COVID-19 vaccine acceptance among pregnant women and mothers of young children: results of a survey in 16 countries #MMPMID33649879
  • Skjefte M; Ngirbabul M; Akeju O; Escudero D; Hernandez-Diaz S; Wyszynski DF; Wu JW
  • Eur J Epidemiol 2021[Feb]; 36 (2): 197-211 PMID33649879show ga
  • With the development of multiple effective vaccines, reducing the global morbidity and mortality of COVID-19 will depend on the distribution and acceptance of COVID-19 vaccination. Estimates of global vaccine acceptance among pregnant women and mothers of young children are yet unknown. An understanding of the challenges and correlates to vaccine acceptance will aid the acceleration of vaccine administration within these populations. Acceptance of COVID-19 vaccination among pregnant women and mothers of children younger than 18-years-old, as well as potential predictors, were assessed through an online survey, administered by Pregistry between October 28 and November 18, 2020. 17,871 total survey responses from 16 countries were obtained. Given a 90% COVID-19 vaccine efficacy, 52.0% of pregnant women (n = 2747/5282) and 73.4% of non-pregnant women (n = 9214/12,562) indicated an intention to receive the vaccine. 69.2% of women (n = 11,800/17,054), both pregnant and non-pregnant, indicated an intention to vaccinate their children. Vaccine acceptance was generally highest in India, the Philippines, and all sampled countries in Latin America; it was lowest in Russia, the United States and Australia. The strongest predictors of vaccine acceptance included confidence in vaccine safety or effectiveness, worrying about COVID-19, belief in the importance of vaccines to their own country, compliance to mask guidelines, trust of public health agencies/health science, as well as attitudes towards routine vaccines. COVID-19 vaccine acceptance and its predictors among women vary globally. Vaccination campaigns for women and children should be specific for each country in order to attain the largest impact.
  • |*Health Knowledge, Attitudes, Practice[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |COVID-19 Vaccines/*therapeutic use[MESH]
  • |COVID-19/*prevention & control[MESH]
  • |Child[MESH]
  • |Child, Preschool[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Intention[MESH]
  • |Internationality[MESH]
  • |Middle Aged[MESH]
  • |Mothers/psychology/statistics & numerical data[MESH]
  • |Patient Acceptance of Health Care/*psychology/*statistics & numerical data[MESH]
  • |Pregnancy[MESH]
  • |Pregnancy Complications, Infectious/*prevention & control[MESH]
  • |Pregnant Women/psychology[MESH]
  • |SARS-CoV-2[MESH]


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