Reconstruction of the Temporal Correlation Network of All-Cause Mortality Fluctuation across Italian Regions: The Importance of Temperature and Among-Nodes Flux

All-cause mortality is a very coarse grain, albeit very reliable, index to check the health implications of lifestyle determinants, systemic threats and socio-demographic factors. In this work, we adopt a statistical-mechanics approach to the analysis of temporal fluctuations of all-cause mortality,...

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Bibliographic Details
Published inEntropy (Basel, Switzerland) Vol. 25; no. 1; p. 21
Main Authors Gigante, Guido, Giuliani, Alessandro
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 23.12.2022
MDPI
Subjects
Anomalies
complex networks
dynamical systems
epidemiology
Expected values
Mortality
Normal distribution
Temperature effects
time series
Winter
dynamical systems
epidemiology
time series
complex networks
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ISSN1099-4300
1099-4300
DOI10.3390/e25010021

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Summary:All-cause mortality is a very coarse grain, albeit very reliable, index to check the health implications of lifestyle determinants, systemic threats and socio-demographic factors. In this work, we adopt a statistical-mechanics approach to the analysis of temporal fluctuations of all-cause mortality, focusing on the correlation structure of this index across different regions of Italy. The correlation network among the 20 Italian regions was reconstructed using temperature oscillations and traveller flux (as a function of distance and region’s attractiveness, based on GDP), allowing for a separation between infective and non-infective death causes. The proposed approach allows monitoring of emerging systemic threats in terms of anomalies of correlation network structure.
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ISSN:1099-4300
1099-4300
DOI:10.3390/e25010021