TY - CPAPER
AU - Chen, Huanfa
AU - Cao, Yanjia
AU - Feng, Lingru
AU - Zhao, Qunshan
PY - 2022
DA - April
TI - Modelling the COVID-19 vaccine uptake rates in a geographical and socioeconomic context: a case study of England
DO - https://doi.org/10.5281/zenodo.6407133
AB - The global Covid-19 pandemic has posed unprecedented social and economic challenges to many countries, including the United Kingdom. One of the key strategies to contain the pandemic is mass vaccination. The Covid-19 vaccine uptake rate of a population group depends on a range of geographical and socio-economic factors, including accessibility to vaccination, ethnic composition, deprivation levels, etc. However, limited research has been conducted to obtain a quantitative understanding of how these factors are associated with the Covid-19 vaccine uptake rates. This study fills this gap by proposing a beta regression model for the small-area Covid-19 vaccine uptake rates in England. The findings have important implications for the practice and policymaking of advocating vaccination programmes and other healthcare services.
PB - GISRUK
UR - http://eprints.gla.ac.uk/268731/
KW - Coronavirus (COVID-19)
KW - Immunisation and screening
KW - Socioeconomic factors
ER