Alessandra D’Alise , Davide Iacobacci , Francesco Sannino
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引用次数: 0
Abstract
For the first time, we apply the eRG framework to describe the temporal evolution of the Dengue multi-wave pandemics. We show that such a minimal tool effectively captures the more complex dynamics of vector–host epidemics. We test the framework on the Dengue history of several countries located in both Latin America and Asia by estimating the infection rate and the total number of infected individuals. We also observe a strong correlation between the total number of infected individuals and the changes in the local temperature. Our results further support the expectation that global warming is bound to increase the cases of Dengue worldwide. We then move to investigate, via the eRG, the recent outbreak in Fano, Italy and offer our projections.
期刊介绍:
Physica A: Statistical Mechanics and its Applications
Recognized by the European Physical Society
Physica A publishes research in the field of statistical mechanics and its applications.
Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents.
Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.