Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Jul 27, 2021)

Date Submitted: Apr 15, 2021
Open Peer Review Period: Apr 14, 2021 - Jun 9, 2021
(closed for review but you can still tweet)

NOTE: This is an unreviewed Preprint

Warning: This is a unreviewed preprint (What is a preprint?). Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn (a note "no longer under consideration" will appear above).

Peer review me: Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period (in this case, a "Peer Review Me" button to sign up as reviewer is displayed above). All preprints currently open for review are listed here. Outside of the formal open peer-review period we encourage you to tweet about the preprint.

Citation: Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author).

Final version: If our system detects a final peer-reviewed "version of record" (VoR) published in any journal, a link to that VoR will appear below. Readers are then encourage to cite the VoR instead of this preprint.

Settings: If you are the author, you can login and change the preprint display settings, but the preprint URL/DOI is supposed to be stable and citable, so it should not be removed once posted.

Submit: To post your own preprint, simply submit to any JMIR journal, and choose the appropriate settings to expose your submitted version as preprint.

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

COVID-19 Vaccine Acceptance among Cold-Chain Food Workers in China: A Cross-Sectional Survey

  • Lizhen Liu; 
  • Minyi Zhang; 
  • Hongbiao Chen; 
  • Juxian Xian; 
  • He Cao; 
  • Xiaofeng Zhou; 
  • Zihao Gu; 
  • Huamin Liu; 
  • Qiushuang Li; 
  • Fei Wu; 
  • Qing Chen; 
  • Qihui Lin

ABSTRACT

Background:

As cold-chain transportation in frozen food may lead to localized outbreaks of COVID-19 in destinations. Given the high level of exposure to SARS-CoV-2, the cold-chain food workers are considered priority vaccination groups. To date, a number of studies have reported the willingness to be vaccinated against COVID-19 within distinct populations, whereas it has not been reported among cold-chain food workers worldwide.

Objective:

We aim to investigate the willingness for COVID-19 vaccination and its influencing factors within cold-chain food workers during the COVID-19 pandemic.

Methods:

An online cross-sectional, population-based survey was employed to gather information regarding the willingness of COVID-19 vaccination and the knowledge, attitudes, and practices (KAP) associated with COVID-19 and vaccination among cold-chain food workers in Shenzhen City of China. Binomial logistic analyses were conducted to qualify the associations between COVID-19-related KAP factors and the willingness of COVID-19 vaccination using adjusted odds ratios (aORs) and 95% confidence interval (CI).

Results:

A total of 244 cold-chain food workers were recruited. Overall, 76.2% of the subjects indicated that they were willing to be vaccinated. After adjustment for general characteristics, knowledge on COVID-19 conception (aOR 2.313, 95%CI 1.098-4.872), comprehending the most effective measure (aOR 2.399, 95%CI 1.233-4.666), understanding the transmission routes (aOR 8.760, 95%CI 2.406-31.890), and recognizing the priority vaccination groups (aOR 2.587, 95%CI 1.331-5.029) were positively associated with the dependent variable. Regarding attitude factors, perceiving the social harmfulness (aOR 2.643, 95%CI 1.178-5.927) and severity of COVID-19 (aOR 3.109, 95%CI 1.116-8.660) were related to a higher willingness to get vaccinated. In terms of practice factors, participants who have attained more knowledge (aOR 2.608, 95%CI 1.115-6.099) were more likely to be vaccinated, and higher self-reported compliance with maintaining indoor ventilation (aOR 2.371, 95%CI 1.049-5.363) was also positively associated with the dependent variable. Agreement on the importance of vaccination to prevent COVID-19 was the most frequent reason for accepting the COVID-19 vaccine; additionally, concerns about side effects and poor understanding of efficacy were the main factors contributing to the vaccination refusal.

Conclusions:

Enhancing KAP levels related to COVID-19 might be the key to promote vaccine acceptance. Health authorities ought to promptly implement educational activities following the updated vaccine situations.


 Citation

Please cite as:

Liu L, Zhang M, Chen H, Xian J, Cao H, Zhou X, Gu Z, Liu H, Li Q, Wu F, Chen Q, Lin Q

COVID-19 Vaccine Acceptance among Cold-Chain Food Workers in China: A Cross-Sectional Survey

JMIR Preprints. 15/04/2021:29646

DOI: 10.2196/preprints.29646

URL: https://preprints.jmir.org/preprint/29646

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.