Is social network enough?
As outbreaks often start in developing countries where
the population density may exceed 1000 per km2,
public transportation conveys over 60% urban people and one individual is likely to contact 100 strangers each day,
such complicated situations deserve more attention.
But how? To adopt a predefined social network is not eligible.
To assume a fixed contact pattern isn't either: how can people meet the same strangers everyday?
Dresp is designed to solve the problem. It can be dynamically reconfigured during running process,
by the update information including the random contacts in public areas, different virus spread patterns
and various social reactions to the prevention policy. This feature effectively handles the indetermination
of such factors in reality and helps simulate the disease transmission more exactly.
Moreover, when combined with sensor network, dresp can perform a real-time monitoring and prediction for health care
departments. An adaptable algorithm provides an unified method to process privacy-preserved data from heterogeneous sensor networks.