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Multicenter Study
. 2021 Nov 3;21(1):745.
doi: 10.1186/s12884-021-04224-3.

Acceptance of seasonal influenza vaccination and associated factors among pregnant women in the context of COVID-19 pandemic in China: a multi-center cross-sectional study based on health belief model

Affiliations
Multicenter Study

Acceptance of seasonal influenza vaccination and associated factors among pregnant women in the context of COVID-19 pandemic in China: a multi-center cross-sectional study based on health belief model

Ruitong Wang et al. BMC Pregnancy Childbirth. .

Abstract

Background: Seasonal influenza can circulate in parallel with coronavirus disease (COVID-19) in winter. In the context of COVID-19 pandemic, the risk of co-infection and the burden it poses on healthcare system calls for timely influenza vaccination among pregnant women, who are the priority population recommended for vaccination. We aimed to evaluate the acceptance of influenza vaccination and associated factors among pregnant women during COVID-19 pandemic, provide evidence to improve influenza vaccination among pregnant women, help reduce the risk of infection and alleviate the burden of healthcare system for co-infected patients.

Methods: We conducted a multi-center cross-sectional study among pregnant women in China. Sociodemographic characteristics, health status, knowledge on influenza, attitude towards vaccination, and health beliefs were collected. Locally weighted scatterplot smoothing regression analysis was used to evaluate the trends in the acceptance of influenza vaccine. Logistic regression was applied to identify factors associated with vaccination acceptance.

Results: The total acceptance rate was 76.5% (95%CI: 74.8-78.1%) among 2568 pregnant women enrolled. Only 8.3% of the participants had a history of seasonal influenza vaccination. In the logistic regression model, factors associated with the acceptance of influenza vaccine were western region, history of influenza vaccination, high knowledge of influenza infection and vaccination, high level of perceived susceptibility, perceived benefit, cues to action and low level of perceived barriers. Among 23.5% of the participants who had vaccine hesitancy, 48.0% of them were worried about side effect, 35.6% of them lacked confidence of vaccine safety.

Conclusions: Our findings highlighted that tailored strategies and publicity for influenza vaccination in the context of COVID-19 pandemic are warranted to reduce pregnant women's concerns, improve their knowledge, expand vaccine uptake and alleviate pressure for healthcare system.

Keywords: Acceptance; Associated factors; COVID-19; Influenza vaccination; Pregnant women.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
The trends in the acceptance of seasonal influenza vaccination and the total knowledge score on seasonal influenza and vaccine by locally weighted scatterplot smoothing regression analysis: A knowledge score on seasonal influenza infection; B knowledge score on seasonal influenza vaccine
Fig. 2
Fig. 2
The acceptance of a COVID-19 vaccine by five dimensions of Health Beliefs Model (n = 2568)
Fig. 3
Fig. 3
Reasons for pregnant women’s influenza vaccination hesitancy (n = 604)

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References

    1. Jin Y, Yang H, Ji W, Wu W, Chen S, Zhang W, et al. Virology, epidemiology, pathogenesis, and control of COVID-19. Viruses. 2020;12(4):372. doi: 10.3390/v12040372. - DOI - PMC - PubMed
    1. World Health Organization (WHO). Covid-19 Weekly Epidemiological Update 2021; https://www.who.int/publications/m/item/weekly-epidemiological-update%2D.... Accessed 15 June 2021.
    1. Gaitonde DY, Moore FC, Morgan MK. Influenza: diagnosis and treatment. Am Fam Physician. 2019;100(12):751–758. - PubMed
    1. Uyeki TM. Influenza. Ann Intern Med. 2017;167(5):Itc33–itc48. doi: 10.7326/AITC201709050. - DOI - PubMed
    1. Siston AM, Rasmussen SA, Honein MA, Fry AM, Seib K, Callaghan WM, et al. Pandemic 2009 influenza a(H1N1) virus illness among pregnant women in the United States. Jama. 2010;303(15):1517–1525. doi: 10.1001/jama.2010.479. - DOI - PMC - PubMed

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