How do country-average health statistics impact citizens’ vaccination attitudes? Evidence from a cross-country analysis

  • Master of International Business Management, Westminster International University in Tashkent, Financial Manager, Huawei Technologies Uzbekistan

DOI

https://doi.org/10.47689/2181-1415-vol6-iss6/S-pp125-141

Keywords

COVID-19 , vaccine hesitancy , public health , macroeconomic indicators , pooled OLS , cross-country analysis , pandemic response , vaccination behavior , trust in government

Abstract

The COVID-19 pandemic has brought about widespread disruptions across economies, political structures, and cultures. Although vaccines were developed to curb the pandemic’s impact, vaccine hesitancy remains prevalent in many countries. This study investigates how macro-level health statistics and socio-economic variables influence public attitudes towards vaccination across 37 countries. Using pooled Ordinary Least Squares (OLS) regression, the analysis finds a strong and statistically significant positive relationship between the number of COVID-19 cases per hundred and vaccination rates. The results suggest that a higher number of confirmed cases leads to increased public willingness to be vaccinated. This finding emphasizes the importance of transparent communication and media coverage of infection data, along with fostering public trust in government, to improve vaccination uptake globally.

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How do country-average health statistics impact citizens’ vaccination attitudes? Evidence from a cross-country analysis

How to Cite

Sidikova, N. (2025). How do country-average health statistics impact citizens’ vaccination attitudes? Evidence from a cross-country analysis. Society and Innovation, 6(6/S), 125–141. https://doi.org/10.47689/2181-1415-vol6-iss6/S-pp125-141