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How political choices shaped Covid connectivity: The Italian case study
- Source :
- PLoS ONE, Vol 16, Iss 12 (2021), PLoS ONE
- Publication Year :
- 2021
- Publisher :
- Public Library of Science (PLoS), 2021.
-
Abstract
- The importance of implementing new methodologies to study the ever-increasing amount of Covid-19 data is apparent. The aftermath analysis of these data could inform us on how specific political decisions influenced the dynamics of the pandemic outbreak. In this paper we use the Italian outbreak as a case study, to study six different Covid indicators collected in twenty Italian regions. We define a new object, the Covidome, to investigate the network of functional Covid interactions between regions. We analyzed the Italian Covidome over the course of 2020, and found that Covid connectivity between regions follows a sharp North-South community gradient. Furthermore, we explored the Covidome dynamics and individuated differences in regional Covid connectivity between the first and second waves of the pandemic. These differences can be associated to the two different lockdown strategies adopted for the first and the second wave from the Italian government. Finally, we explored to what extent Covid connectivity was associated with the Italian geographical network, and found that Central regions were more tied to the structural constraints than Northern or Southern regions in the spread of the virus. We hope that this approach will be useful in gaining new insights on how political choices shaped Covid dynamics across nations.
- Subjects :
- RNA viruses
European People
Viral Diseases
Time Factors
Epidemiology
Coronaviruses
Geographical locations
Medical Conditions
Medicine and Health Sciences
Ethnicities
Centrality
Pathology and laboratory medicine
Multidisciplinary
Geography
Ecology
Politics
Medical microbiology
Italian People
Hospitalization
Europe
Infectious Diseases
Italy
Community Ecology
Viruses
Medicine
SARS CoV 2
Pathogens
Network Analysis
Research Article
Computer and Information Sciences
SARS coronavirus
Science
Microbiology
Political science
Humans
European Union
Pandemics
Community Structure
Ecology and Environmental Sciences
Organisms
Viral pathogens
COVID-19
Biology and Life Sciences
Covid 19
Microbial pathogens
Political economy
People and Places
Earth Sciences
Population Groupings
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....75b1f83d47726af6d4a3a66e6973b8c8