  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 travellers' 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.
