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MFDS-COVID

Analysis on COVID-19 Dataset in India

Python Analysis

  1. Identification of which age group is the most infected.
  2. Visualisation of cases observed, recovered, deaths per day country-wise and statewise.
  3. Identification of positive cases on a state level. Intensity of the spread identified statewise where, intensity here means number of positive cases/population density
  4. Identification of the places which are hotspots.
  5. Looking at the maximum change in hotspots for each state.

Matlab Analysis

  1. Quantify primary, secondary, tertiary cases based on percentage for top 5 states with maximum cases.
  2. Additional Labs for testing needed considering a 10% increase in the rate of cases.
  3. An analysis of "flattenning of the curve" through the given data
  4. Evaluating the success of the 21 day lockdown.

Report

All Conclusions have been highlighted in the report.

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Analysis on COVID-19 Dataset in India

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