An Online Real-Time System to Detect Risk for Infectious Diseases and Provide Early Alert

The purpose of this research was to design and develop an online real-time system to detect risk for infectious diseases and provide an early alert to improve the ability to deal with epidemics. The system is composed of report submission module for collecting data through web form, a report reception module for delivering real-time epidemic intelligence on emerging infectious diseases for a diverse audience, and an epidemic early alert module suggests an approach for detecting an epidemic outbreak at an early stage through time and spatial analysis. Advanced data analysis on the data may detect predominant numbers of incidences, indicating a possible outbreak. This gives the health authorities the possibilities to take actions to limit the outbreak and its consequences for all the inhabitants in an affected area. In field experiments, the system has been proven to be of substantial value in visualizing the epidemic data and perceiving the infectious diseases out-break.

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