Location Aware Communicable Disease Spread Prediction Model

15 Pages Posted: 8 Mar 2018

See all articles by V. Santhosh Kumar

V. Santhosh Kumar

Sona College of Technology, Department of Computer Science and Engineering, Students

R Sivakami

Sona College of Technology

Date Written: November 15, 2017

Abstract

Data analytics plays a major role in providing useful information to healthcare analysis. Monitoring of infectious diseases and the study of their spread factors and spread rate greatly helps the health care system to block further spread of the diseases. The emergence of novel infections is linked with various human factors such as population density, trade and ecological factors like climate change. The various web-based surveillance tools that are used by major public healthcare sectors are modelled in order to facilitate risk assessment and timely detection of disease outbreak. Numerous new inventions and innovative technologies are available to provide healthy life to humans. But none has provided a precise solution to reduce and predict the spread rate of infectious diseases. At present, television, radio, new paper and magazines are the only sources that highlight the infected diseases to the view of society. Though social media plays a major role in providing hot news and needy information, they are not trust worthy. A new and efficient information system providing useful information to the public through proper channel is needed to create awareness of communicable diseases, their root causes and preventive measures against those diseases. A location aware system which alerts people who are travelling across the places infected by communicable diseases is needed especially for deadly and air borne diseases. The spread rate of the disease can be predicted using epidemic model that depends upon the infectious agent and the geographical location of the disease breakout area. Early information about such things is very much helpful for the government health sectors to take necessary preventive actions and to provide healthy life to people. The capability of data visualization and analytics in healthcare justifies to the extent of rendering best possible outcomes across many scenarios. In this system, a new and efficient information model is created and data visualization techniques are applied to find the root causes and effective visualization of spreading of those diseases. Anyone can understand the data easily when it is presented as visualization and sent as an alert system to their mobiles as timely information.

Keywords: Data analysis, Communicable Disease, Spread rate, Epidemic, Data Visualization

Suggested Citation

Santhosh Kumar, V. and Sivakami, R, Location Aware Communicable Disease Spread Prediction Model (November 15, 2017). Proceedings of the International Conference on Intelligent Computing Systems (ICICS 2017 – Dec 15th - 16th 2017) organized by Sona College of Technology, Salem, Tamilnadu, India, Available at SSRN: https://ssrn.com/abstract=3132977 or http://dx.doi.org/10.2139/ssrn.3132977

V. Santhosh Kumar (Contact Author)

Sona College of Technology, Department of Computer Science and Engineering, Students ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

R Sivakami

Sona College of Technology ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

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