  The study of human mobility patterns is a crucially important research field
for its impact on several socio-economic aspects and, in particular, the
measure of regularity patters of human mobility can provide a across-the-board
view of many social distancing variables in epidemics such as: human movement
trends, physical interpersonal distances and population density. We will show
that the notion of information entropy is also strongly related to demographic
and economic trends by the use and analysis of real-time data. In the present
research paper we address three different problems. First, we provide an
evidence-based analytical approach which relates the human mobility patterns,
social distancing attitudes and population density, with entropic measures
which depict for erraticity of human contact behaviors. Second, we investigate
the correlations between the aggregated mobility and entropic measures versus
five external economic indicators. Finally,we show how entropic measures
represents a useful tool for testing the limitations of typical assumptions in
epidemiological and mobility models.

Physics and Society;General Economics;Economics