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All-cause mortality is a very coarse grain, albeit very reliable, index tocheck the health implications of lifestyle determinants, systemic threats andsocio-demographic factors. In this work we adopt a statistical-mechanicsapproach to the analysis of temporal fluctuations of all-cause mortality,focusing on the correlation structure of this index across different regions ofItaly. The correlation network among the 20 Italian regions was reconstructedusing temperature oscillations and travellers' flux (as a function of distanceand region's attractiveness, based on GDP), allowing for a separation betweeninfective and non-infective death causes. The proposed approach allowsmonitoring of emerging systemic threats in terms of anomalies of correlationnetwork structure.

entropy

Reconstruction of the temporal correlation network of all-cause  mortality fluctuation across Italian regions: the importance of temperature  and among-nodes flux