System and method for identifying a disease affected area

A system for identifying a disease affected area, the system comprising:

• a disease database storing disease data associated with one or more geolocations, the disease data comprising one or more georeferenced risk maps, timestamped GPS coordinate data relating to confirmed disease cases, weather data associated with the current geolocation and disease vector data associated with the current geolocation;
• an electronic communication device adapted for communication with the disease database, the electronic communication device having a display and a geolocation device for determining a current geolocation of the electronic communication device, wherein the current geolocation of the electronic communication device is automatically determined by a GPS module in the electronic communication device or by a mobile phone tracking process and transmitted as geolocation data and the geolocation device tracks and stores movement trajectory data over a time interval that may be predetermined or dynamically adjusted according to behavioral patterns to generate historical geolocation data;
• wherein upon detecting the current geolocation of the electronic communication device, the electronic communication device:
• queries the disease database to identify one or more diseases associated with the current geolocation;
• identifies disease vectors based on historical and real-time disease prevalence in the current geolocation of the electronic communication device, wherein the disease vectors are determined by comparing confirmed disease case location stored in the disease database with georeferenced risk maps and updating disease risk models using GPS movement trajectory data and weather data;
• combines the geolocation data obtained in relation to the current geolocation and the disease data;
• compares the combined geolocation data, and the disease data with incubation periods for diseases present in the current geolocation to predict a risk of illness being caused by each of the identified diseases associated with the current geolocation;
• generates a predictive model incorporating the weather data, presence of disease and movement of people based on the timestamped GPS coordinate data relating to confirmed disease cases from the disease database and the model applies pre-calculated risk maps and real-time GPS movement data to generate an updated disease risk assessment;
• calculating, from the updated disease risk assessment, an updated risk map and an updated risk rating associated with each of the one or more identified diseases associated with the current geolocation based on the identified disease vectors and the combined geolocation data and the disease data, wherein the updated risk rating comprises a current risk rating and a future risk rating, wherein the future risk rating relates to a risk of transmission or infection in a predetermined period of time from a current time based on the predictive model;
• and
• display the updated risk map and the updated risk rating associated with each of the one or more identified diseases associated with the current geolocation of the electronic communication device on the display of the electronic communication device.