Collective behavior in the spatial spreading of obesity
Lazaros K. Gallos, Pablo Barttfeld, Shlomo Havlin, Mariano Sigman,, Hernan A. Makse

TL;DR
This study reveals that obesity, diabetes, and certain cancers exhibit scale-free spatial correlations indicative of collective behavior similar to physical critical systems, suggesting global factors dominate their spread over individual habits.
Contribution
The paper applies a critical physical systems framework to analyze spatial disease data, uncovering universal patterns of collective behavior in disease spread and economic activities.
Findings
Obesity, diabetes, and some cancers show scale-free long-range correlations.
The spatial fluctuations deviate from population distribution, indicating collective dynamics.
Economic sectors related to food production share similar critical fluctuation patterns.
Abstract
Non-communicable diseases like diabetes, obesity and certain forms of cancer have been increasing in many countries at alarming levels. A difficulty in the conception of policies to reverse these trends is the identification of the drivers behind the global epidemics. Here, we implement a spatial spreading analysis to investigate whether diabetes, obesity and cancer show spatial correlations revealing the effect of collective and global factors acting above individual choices. We adapt a theoretical framework for critical physical systems displaying collective behavior to decipher the laws of spatial spreading of diseases. We find a regularity in the spatial fluctuations of their prevalence revealed by a pattern of scale-free long-range correlations. The fluctuations are anomalous, deviating in a fundamental way from the weaker correlations found in the underlying population…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Complex Network Analysis Techniques · Mathematical and Theoretical Epidemiology and Ecology Models
