DOI: 10.5061/dryad.vdncjsz3d
title: COVID-19 vaccine uptake data set

description: The novel Coronavirus Disease 19 (COVID-19) caused devastating effects
 globally, and healthcare workers were among the most affected by the
 pandemic. Despite healthcare workers being prioritized in COVID-19
 vaccination globally and in Ghana, hesitancy to receive the vaccines
 resulted in delayed control of the pandemic. In Ghana, healthcare workers
 had a vaccine acceptance of 39.3% before the vaccine rollout.
 Consequently, this study assessed the uptake of COVID-19 vaccination and
 associated factors among healthcare workers in Ghana in the post-vaccine
 roll-out period. This was an analytical cross-sectional study that used a
 semi-structured questionnaire to collect data on COVID-19 vaccination
 uptake and influencing factors. 256 healthcare workers were selected in
 Ayawaso West Municipality of Ghana using a stratified random sampling
 approach. Descriptive statistics were used to examine socio-demographic
 factors and Likert scale responses. Bivariable and Multivariable logistic
 regression were performed using IBM SPSS version 22 to identify predictors
 of vaccine uptake and a statistical significance was declared at
 p&lt;0.05. More than three-fourths of participants 220 (85.9%) had
 received at least one dose of the COVID-19 vaccination, while 36 (14.9%)
 were hesitant. More than half 139 (54.3%) had adequate knowledge about
 COVID-19 vaccination and the majority 188 (73.4%) had positive perceptions
 about its effectiveness. Moreover, 218 (85.2%) of HCWs had a positive
 attitude towards COVID-19 vaccination. Positive attitude towards COVID-19
 vaccination (AOR = 4.3; 95% CI: 1.4, 13.0) and high cues to action (AOR =
 5.7; 95% CI: 2.2, 14.8) were the factors that significantly predicted
 uptake of COVID-19 vaccination among healthcare workers. COVID-19
 vaccination among HCWs in Ghana is promising. However, hesitancy to
 receive the vaccination among a significant proportion of HCWs raises
 concerns. To ensure vaccination of all healthcare workers, interventions
 to promote vaccination should target key determinants of vaccination
 uptake, such as attitude towards the vaccination and cues to action.
description: This was an analytical cross-sectional study that used a
 semi-structured questionnaire to collect data on COVID-19 vaccination
 uptake and influencing factors. 256 healthcare workers were selected in
 Ayawaso West Municipality of Ghana using a stratified random sampling
 approach. Descriptive statistics were used to examine socio-demographic
 factors and Likert scale responses. Bivariable and Multivariable logistic
 regression were performed using IBM SPSS version 22 to identify predictors
 of vaccine uptake and a statistical significance was declared at
 p&lt;0.05.
description: # **Overview:** This dataset contains information related to COVID-19
 vaccination among healthcare workers in Ayawaso West District,
 Ghana. To ensure the protection of participants' privacy,
 several steps were undertaken to de-identify the data. Firstly, we ensured
 that the data does not contain any information that could directly reveal
 the identity of the participants such as names, addresses, phone numbers,
 etc. Additionally, the data was modified by limiting the number of
 indirect identifiers to three and aggregating age to age range. By so
 doing, the risk of re-identification was significantly reduced.
 Furthermore, institutional affiliation and occupation of participants
 could potentially lead to re-identification if combined and were thus
 eliminated. Importantly, participants were informed during the consent
 process that data from the study would be released into a public
 repository. This allowed participants to make informed decisions about
 their participation in the study, understanding the potential implications
 of their de-identified data being shared publicly. A copy of the blank
 consent form is attached. Researchers can still utilize the de-identified
 data to replicate findings, validate research outcomes, and conduct
 further analysis A copy of the blank questionnaire used is available as
 Supplemental Information on Zenodo. **Abbreviations and Codes:** Age
 range= age range of the participants in years Sex (0=male, 1=female)
 MARITAL_STATUS (0=not married, 1=married) VACCINATION_STATUS (0=NOT
 VACCINATED, 1=VACCINATED) K1-K10 (Questions assessing knowledge about
 COVID-19 vaccination. 1=trues, 2=false, 3=I don't know) A1-16
 (Questions assessing attitude towards vaccination. 1=strongly disagree,
 2=disagree, 3=neutral, 4=agree, 5=strongly agree) PVE1-PVE3 (Questions
 assessing perceived vaccine effectiveness. 1=strongly disagree,
 2=disagree, 3=neutral, 4=agree, 5=strongly agree) PSU1-PSU5 (Questions
 assessing perceived susceptibility towards COVID-19 infection. 1=strongly
 disagree, 2=disagree, 3=neutral, 4=agree, 5=strongly agree) SEV1-SEV5
 (Questions assessing perceived severity of COVID-19 infection. 1=strongly
 disagree, 2=disagree, 3=neutral, 4=agree, 5=strongly agree) PB1-PB7
 (Questions assessing perceived benefits of COVID-19 vaccination.
 1=strongly disagree, 2=disagree, 3=neutral, 4=agree, 5=strongly agree)
 PBA1-PBA12 (Questions assessing perceived barriers to COVID-19
 vaccination. 1=strongly disagree, 2=disagree, 3=neutral, 4=agree,
 5=strongly agree) Cues1-Cues8 (Questions assessing Cues to action.
 1=strongly disagree, 2=disagree, 3=neutral, 4=agree, 5=strongly agree)