Acceptance of a COVID-19 vaccine and associated factors among pregnant women in China: a multi-center cross-sectional study based on health belief model

Author:

Tao Liyuan1ORCID,Wang Ruitong2,Han Na3,Liu Jihong4,Yuan Chuanxiang5,Deng Lixia6,Han Chunhua7,Sun Fenglan8,Liu Min2,Liu Jue29ORCID

Affiliation:

1. Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China

2. Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China

3. Department of Obstetrics, Tongzhou Maternal and Child Health Hospital, Beijing, China

4. Department of Obstetrics, The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, China

5. Department of Obstetrics, Qianjiang Maternal and Child Health Hospital, Qianjiang City, Hubei Province, China

6. Department of Obstetrics, Qianjiang Central Hospital, Qianjiang City, Hubei Province, China

7. Department of Obstetrics, Qujing Maternal and Child Health Hospital, Qujing City, Yunnan Province, China

8. Department of Obstetrics, Shexian Maternal and Child Health Hospital, Shexian City, Hebei Province, China

9. National Health Commission Key Laboratory of Reproductive Health, Peking University Health Science Center, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Project of China

National Science and Technology Key Projects on Prevention and Treatment of Major infectious disease of China

Publisher

Informa UK Limited

Subject

Pharmacology,Immunology,Immunology and Allergy

Reference48 articles.

1. World Health Organization. COVID-19 weekly epidemiological update. Data as received by WHO from national authorities, as of 22 November 2020, 10 am CET. 2020 [accessed 2014 Jan 20] https://www.who.int/publications/m/item/weekly-epidemiological-update—24-november-2020

2. Challenges in creating herd immunity to SARS-CoV-2 infection by mass vaccination

3. Population-level impact, herd immunity, and elimination after human papillomavirus vaccination: a systematic review and meta-analysis of predictions from transmission-dynamic models

4. Why and How Vaccines Work

5. World Health Organization. Draft landscape of COVID-19 candidate vaccines, 12 November 2020 [accessed 2014 Jan 20]. https://www.who.int/publications/m/item/draft-landscape-of-covid-19-candidate-vaccines.

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