Exploring vulnerability amplification in regional health inequality: COVID-19 case study in Czechia

This paper proposes a novel conceptual framework of vulnerability amplification to examine regional health inequalities. It combines differential vulnerability in health and social amplification of risk, as mechanisms of differential vulnerability are shaped by mechanisms of social amplification and mutually influence the level and dynamics of regional health inequalities. A spatial epidemiology analytical framework is used to examine ecological and spatial interdependencies, as well as the effects of compositional (population structure) and contextual factors (health intervention), alongside the spatiotemporal effects on regional health outcomes. An empirical application of the concept using the example of the COVID-19 pandemic crisis at the micro-regional level in Czechia documents widening regional health disparities during the health crisis, with the most vulnerable regions most affected. In the case of a possible future health crisis, this conceptual and methodological approach can enhance management of impacts through effective, better-targeted preventive measures that account for fundamental regional differences and specificities. • First application of the concept of vulnerability amplification to regional health inequality. • Strong evidence of widening regional health gaps during the health crisis. • The most vulnerable regions most affected by the health crisis. • The significance of mechanisms of differential vulnerability and social amplification. • Non-vaccination (against COVID-19) explained meaningful regional variance in the dynamics of mortality.

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Publication Details

Journal
Applied Geography
Published
2025-02-23
DOI
https://doi.org/10.1016/j.apgeog.2025.103565
Citations
4
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
8.67

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article

Exploring vulnerability amplification in regional health inequality: COVID-19 case study in Czechia

Pavlína Netrdová, Dagmar Dzúrová, Klára Hulíková Tesárková
4 citations
Applied Geography
Health disparities and outcomes
8.67
article

Exploring vulnerability amplification in regional health inequality: COVID-19 case study in Czechia

Pavlína Netrdová, Dagmar Dzúrová, Klára Hulíková Tesárková
article en
4 citations

Abstract

This paper proposes a novel conceptual framework of vulnerability amplification to examine regional health inequalities. It combines differential vulnerability in health and social amplification of risk, as mechanisms of differential vulnerability are shaped by mechanisms of social amplification and mutually influence the level and dynamics of regional health inequalities. A spatial epidemiology analytical framework is used to examine ecological and spatial interdependencies, as well as the effects of compositional (population structure) and contextual factors (health intervention), alongside the spatiotemporal effects on regional health outcomes. An empirical application of the concept using the example of the COVID-19 pandemic crisis at the micro-regional level in Czechia documents widening regional health disparities during the health crisis, with the most vulnerable regions most affected. In the case of a possible future health crisis, this conceptual and methodological approach can enhance management of impacts through effective, better-targeted preventive measures that account for fundamental regional differences and specificities. • First application of the concept of vulnerability amplification to regional health inequality. • Strong evidence of widening regional health gaps during the health crisis. • The most vulnerable regions most affected by the health crisis. • The significance of mechanisms of differential vulnerability and social amplification. • Non-vaccination (against COVID-19) explained meaningful regional variance in the dynamics of mortality.

Applied GeographyVol. 177
Charles University (CZ)
Ministerstvo Školství, Mládeže a Tělovýchovy
Reduced inequalities
Openalex Percentile: Top 3%
Health disparities and outcomes
8.67
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