Covid-19 Impact Prediction in Tamilnadu with Mathematical Modeling
At the onslaught of the COVID-19 pandemic, the public in India and world over, are in the midst of unclear circumstances. Grappling doubts on the pandemic’s impacts, longevity, number affected, deaths, etc. seem to have no decisive answers. However, epidemiologists, R&D labs, and policymakers alike are relying more confidently on mathematical modeling for close pandemic tracking, precise assessments, and critical decision making. Such mathematical models accurately extrapolate on captured Real World Evidence (RWE) data to help precisely track, simulate, and predict the spread of the pandemic to a substantial period of time to come.
Ameex digital analytics team has leveraged the Susceptible-Exposed-Infectious-Removed (SEIR) model, fed with the latest RWE data to derive tabulated predictions and graphical curves. We have specifically focussed on the state of Tamil Nadu, India, using RWE data for SEIR modeling. Our predictions have unfolded actionable insights and results on COVID-19 pandemic. These intuitive, tabulated prediction results along with the pandemic tracking graphical curve, its numbers, and peaks, will greatly aid policy and decision-makers alike to arrive at precise, critical judgments.
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