ranjan

Infectious disease forecasting aims to predict characteristics of both seasonal pandemics and future pandemics. Accurate and timely infectious disease forecasts could aid public health responses by informing key preparation and mitigation efforts.  The predictive model learns from historical data to help predict who will develop acute respiratory distress syndrome,a severe outcome of Covid-19. Despite the advances in medicine, infectious diseases are leading causes of death worldwide, especially in low income countries. With the advent of mathematical tools, scientists are now able  to better predict epidemics, understand the specificity of each pathogen, and identify potential targets for drug development. Artificial intelligence and its components have been widely publicized for  their ability to better diagnose certain types of cancer from imaging data. It is to cover series of applications selectively chosen as to how Artificial intelligence is moving in the field of infectious dis