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Publicação
Spatial Modeling of COVID-19 Vaccine Hesitancy in Texas
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Orientador(es)
Resumo(s)
This thesis investigates the spatial dynamics and factors influencing COVID-19 vaccination
rates across the state of Texas. Throughout the search of data in several databases, this research
identifies several significant variables such as gender, education level, employment, income,
insurance coverage, race and ethnicity, age, party choice, religion and flu vaccine intake, that
affect vaccine acceptance. Using spatial analysis and Geographical Information Systems we
reach to conclusions about the variables above described. The study reveals distinct spatial
patterns of vaccine hesitancy, particularly highlighting the differences between the several areas
within the state (north, south, west and east) and offers insights of the impact of socioeconomic
and demographic disparities. By employing Local and Global Moran’s I statistics, hot spot
analysis, and Multiscale Geographically Weighted Regression (MGWR), (using ArcGIS Pro)
the research provides a nuanced understanding of the geographical variability in the COVID19 vaccine intake, in the state of Texas both for year 2021 and 2022. The findings aim to inform
authority figures of public health and politics in order to create better interventions and policies.
This measures would help to enhance equity vaccine distribution and improve health
communication strategies. Ultimately contributing to better management of future public health
crises.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
Palavras-chave
COVID-19 Vaccine Hesitancy Texas SDG 3 - Good health and well-being