COVID-19 epidemic waves in Hungary and their regional distribution

This paper reviews the most important spatial features of the pandemic waves in Hungary to discover their regional distribution, focusing on morbidity and mortality data. It is based on a descriptive statistical analysis examining the general epidemic situation in Hungary as well as comparing the pandemic waves. The examination also presents a general review of the COVID-19 pandemic waves and their changes in terms of space and time, exploring the typical spatial patterns. The applied regional analysis contains an examination at various geographical scales ranging from national (NUTS 1) to county (NUTS 3) and micro-regional (LAU 1) territorial levels. The most important results highlight the significant existing inequalities which can be detected among epidemic waves as well as at different territorial levels.

Authors

Publication Details

Journal
Zbornik radova Departmana za geografiju turizam i hotelijerstvo
Published
2025-01-01
DOI
https://doi.org/10.5937/zbdght2501034u
Citations
2
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
6.26
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article

COVID-19 epidemic waves in Hungary and their regional distribution

Annamária Uzzoli
2 citations
Zbornik radova Departmana za geografiju turizam i hotelijerstvo
COVID-19 Pandemic Impacts
6.26
article

COVID-19 epidemic waves in Hungary and their regional distribution

Annamária Uzzoli
article en
2 citations

Abstract

This paper reviews the most important spatial features of the pandemic waves in Hungary to discover their regional distribution, focusing on morbidity and mortality data. It is based on a descriptive statistical analysis examining the general epidemic situation in Hungary as well as comparing the pandemic waves. The examination also presents a general review of the COVID-19 pandemic waves and their changes in terms of space and time, exploring the typical spatial patterns. The applied regional analysis contains an examination at various geographical scales ranging from national (NUTS 1) to county (NUTS 3) and micro-regional (LAU 1) territorial levels. The most important results highlight the significant existing inequalities which can be detected among epidemic waves as well as at different territorial levels.

Zbornik radova Departmana za geografiju turizam i hotelijerstvo(54-1)
Openalex Percentile: Top 4%
COVID-19 Pandemic Impacts
6.26
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