@proceedings{Chen_H-2022_82068,
title = {Modelling the COVID-19 vaccine uptake rates in a geographical and socioeconomic context: a case study of England},
author = {Chen, H. and Cao, Y. and Feng, L. and Zhao, Q.},
month = {apr},
year = {2022},
abstract = {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.},
journal = {GISRUK 2022},
publisher = {GISRUK},
url = {https://doi.org/10.5281/zenodo.6407133},
}
