REAL TIME MAPPING OF EPIDEMIC SPREAD
Ms. Alina Raheen
Sadiya Mohammedi
Mrinal Raj
Dept of Computer Science Engineering
School of Computer Science and Engineering
School of Computer Science and Engineering
Presidency University
Presidency University
Presidency University
Bengaluru, India
Bengaluru, India
Bengaluru, India
Aakif Mohamed Nadeem Faizeen Shezan
I. ABSTRACT
In an era where people live in different parts of the globe and move a lot from one country to another, there is always a problem of the rapid spread of infectious diseases. These conditions form a perfect ground for the spread of dangerous viruses such as SARS-CoV-2, Avian Influenza A, Bubonic Plague, HIV, and other diseases which have severe effects on people’s health and require instant measures to prevent their possible outbreak.
Therefore, it is very important to monitor the progressing spreads of these contagious diseases in a timely and accurate manner so as to be able to take appropriate measures where necessary. Quite a few studies in the field of accurate and timely tracking of epidemics indicate that the spread of contagious diseases can indeed be tackled if the right strategies are put in place, and the present study will discuss these issues in detail.
In essence, this study analyses the strengths of real-time mapping as an innovative way to monitor, predict, and manage the spread of infectious diseases, thus effectively selling its importance. This factor has become evident given recent technological advancements especially in the areas of data sourcing, processing, and analysis, all supported by the power of modern supercomputers. Data gathered is analysed in real time and can provide precise and updated information on the geographic scope of epidemics.
Keywords: Epidemiology, SEIR model, Geospatial mapping, Infectious disease spread, Data integration, Machine learning, Predictive modelling, public health intervention, Dynamic disease tracking, big data in epidemiology
