COVID-19 vaccine uptake data set

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 ..., 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<0.05., , # **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, ...