NetHealth

NetHealth supports the monitoring of inter-city and intra-city mobility and social interaction analysis . It supports user to build contact matrix and activity inference based on location semantic

The main reason for some epidemics turning into pandemics is the connectivity among different regions. More importantly,  the population distribution and social coherence in each district of a city are non-uniform. Thus, once the epidemic enters a geographical area, then the local population distribution of that area plays an important role.


Mathematical models have shown that the reproduction number Ro directly depends upon the social connectivity of individuals, the number of connected locations, and individuals' mobility between locations.


Viruses may have a short incubation period between infection and the development of infectiousness. An infected person may be asymptomatic but infectious. He may or may not become overtly symptomatic within days. Timescales of the kinetic process may vary from strain to strain and even wave to wave of a pandemic.


Real-time and recent historical data analysis on a nationwide scale are useful tools for ongoing monitoring support to public health authorities and epidemiology scientists in their situation assessments and decision-making.


NetHealth offers:

  • Mapping of complex human mobility patterns which account for social interaction behavior and out-of-home journeys and travel patterns

  • Mapping of commuting routes transportation infrastructures, trains, mass transit railways, buses routes, highways, main roads, and taxis

  • Mapping individuals to places semantically.  For example, schools, colleges, offices, factories, places of worship.

  • Inferring individual activities from places and different times of day, days of the week, and dwell duration.

Using spatial-temporal analysis of movements, NetHealth can uncover underlying collective temporal regularity and spatial structure of physical encounters. This insight is significant for the understanding of epidemics prevention and spreading.


NetHealth supports governments to fight epidemics: It supports

  • Support government agencies in their planning of gradual re-opening of their economies after lock-down

  • Support planning of temporary measures and the new normal

  • Conduct scientific research through modeling, simulations visualization, and analysis.