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. 2021 May 20;21(1):955.
doi: 10.1186/s12889-021-10987-3.

Knowledge, attitude, and acceptance of healthcare workers and the public regarding the COVID-19 vaccine: a cross-sectional study

Affiliations

Knowledge, attitude, and acceptance of healthcare workers and the public regarding the COVID-19 vaccine: a cross-sectional study

Muhammed Elhadi et al. BMC Public Health. .

Abstract

Background: This study determined the knowledge, attitudes, and practice regarding COVID-19 and assessed the acceptance of the COVID-19 vaccine among healthcare workers and the general population.

Methods: A web-based, cross-sectional study was conducted using convenience sampling in Libya from December 1 to 18, 2020 among the general population and healthcare workers. Data on demographic characteristics, COVID-19 vaccination-related concerns, knowledge, attitudes, and practice regarding COVID-19, and knowledge, attitudes, and acceptance regarding the COVID-19 vaccine were collected using a self-administered survey. A binomial logistic regression was performed with 70% efficacy to determine the association between acceptance of the vaccine and study variables.

Results: Valid and complete responses were collected from 15,087 participants. Of these, 6227 (41.3%) were male and 8860 (58.7%) were female, with a mean (SD) age of 30.6 ± 9.8 years. Moreover, 485 (3.2%) participants were infected with COVID-19 at the time of the study, while 2000 (13.3%) had been previously infected. Overall, 2452 (16.3%) participants agreed, and 3127 (20.7%) strongly agreed, with "having concerns about serious vaccine-related complications." Mask-wearing adherence was reported by 10,268 (68.1%) of the participants. Most participants (14,050, 93.1%) believed that the vaccine should be provided for free, while 7272 (48.2%) were willing to buy it. Regarding vaccine acceptance and efficacy, 12,006 (79.6%) reported their willingness to take the vaccine with an efficacy of 90% or more, 9143 (60.6%) with an efficacy of 70% or more, and only 6212 (41.2%) with an efficacy of 50%. The binomial logistic regression revealed that vaccine acceptance was not associated with belonging to the medical field versus the general population. Acceptance was statistically associated with younger age groups, especially 31-40 (OR = 1.3 [1.09, 1.55]) and 41-50 years (OR = 1.29, [1.09, 1.54]). However, having a family member or friend infected with COVID-19 was positively associated with the likelihood of vaccine acceptance (OR = 1.09 [1.02, 1.18]), while having a friend or family member who died due to COVID-19 was negatively associated with it (OR = 0.89 [0.84, 0.97]).

Conclusions: Acceptance of the COVID-19 vaccine is an essential determinant of vaccine uptake and the likelihood of controlling the COVID-19 pandemic. Developing strategies to decrease public hesitation and increase trust is vital for implementing vaccination programs.

Keywords: Acceptance; Attitude; COVID-19; Knowledge; SARS-CoV-2; Vaccine.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
STROBE flow chart. STROBE, Strengthening the Reporting of Observational Studies in Epidemiology
Fig. 2
Fig. 2
a Knowledge toward COVID-19 Pandemic According to Type of Participants. b. Attitude toward COVID-19 Pandemic According to Type of Participants. c. Practice toward COVID-19 Pandemic According to Type of Participants
Fig. 3
Fig. 3
a. Knowledge about COVID-19 Vaccine According to Type of Participants. b Attitude about COVID-19 Vaccine According to Type of Participants. c Practice about COVID-19 Vaccine According to Type of Participants

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References

    1. Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis. 2020;20(5):533–534. doi: 10.1016/S1473-3099(20)30120-1. - DOI - PMC - PubMed
    1. Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, Liu L, Shan H, Lei CL, Hui DSC, du B, Li LJ, Zeng G, Yuen KY, Chen RC, Tang CL, Wang T, Chen PY, Xiang J, Li SY, Wang JL, Liang ZJ, Peng YX, Wei L, Liu Y, Hu YH, Peng P, Wang JM, Liu JY, Chen Z, Li G, Zheng ZJ, Qiu SQ, Luo J, Ye CJ, Zhu SY, Zhong NS, China Medical Treatment Expert Group for Covid-19 Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020;382(18):1708–1720. doi: 10.1056/NEJMoa2002032. - DOI - PMC - PubMed
    1. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, et al. Clinical features of patients infected with 2019 Novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497–506. doi: 10.1016/S0140-6736(20)30183-5. - DOI - PMC - PubMed
    1. Bhatraju PK, Ghassemieh BJ, Nichols M, Kim R, Jerome KR, Nalla AK, Greninger AL, Pipavath S, Wurfel MM, Evans L, Kritek PA, West TE, Luks A, Gerbino A, Dale CR, Goldman JD, O’Mahony S, Mikacenic C. Covid-19 in critically ill patients in the Seattle region - case series. N Engl J Med. 2020;382(21):2012–2022. doi: 10.1056/NEJMoa2004500. - DOI - PMC - PubMed
    1. Grasselli G, Zangrillo A, Zanella A, Antonelli M, Cabrini L, Castelli A, Cereda D, Coluccello A, Foti G, Fumagalli R, Iotti G, Latronico N, Lorini L, Merler S, Natalini G, Piatti A, Ranieri MV, Scandroglio AM, Storti E, Cecconi M, Pesenti A, COVID-19 Lombardy ICU Network. Agosteo E, Alaimo V, Albano G, Albertin A, Alborghetti A, Aldegheri G, Antonini B, Barbara E, Belgiorno N, Belliato M, Benini A, Beretta E, Bianciardi L, Bonazzi S, Borelli M, Boselli E, Bronzini N, Capra C, Carnevale L, Casella G, Castelli G, Catena E, Cattaneo S, Chiumello D, Cirri S, Citerio G, Colombo S, Coppini D, Corona A, Cortellazzi P, Costantini E, Covello RD, de Filippi G, Dei Poli M, Della Mura F, Evasi G, Fernandez-Olmos R, Forastieri Molinari A, Galletti M, Gallioli G, Gemma M, Gnesin P, Grazioli L, Greco S, Gritti P, Grosso P, Guatteri L, Guzzon D, Harizay F, Keim R, Landoni G, Langer T, Lombardo A, Malara A, Malpetti E, Marino F, Marino G, Mazzoni MG, Merli G, Micucci A, Mojoli F, Muttini S, Nailescu A, Panigada M, Perazzo P, Perego GB, Petrucci N, Pezzi A, Protti A, Radrizzani D, Raimondi M, Ranucci M, Rasulo F, Riccio M, Rona R, Roscitano C, Ruggeri P, Sala A, Sala G, Salvi L, Sebastiano P, Severgnini P, Sforzini I, Sigurtà FD, Subert M, Tagliabue P, Troiano C, Valsecchi R, Viola U, Vitale G, Zambon M, Zoia E. Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy region, Italy. JAMA. 2020;323(16):1574–1581. doi: 10.1001/jama.2020.5394. - DOI - PMC - PubMed

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