Mathematical models used to characterize early epidemic growth feature an exponential curve. This phase of exponential growth can be characterized by the doubling time. Doubling time is the time it takes for the number of infections to double. Our study here has been inspired by the study of Doubing times of COVID-19 cases worldwide by Deepayan Sarkar.
We presents an analysis of the doubling time for COVID-19 cases across various districts during different phases of the lockdown. On the x-axis, dates are plotted to showcase the progression of time, while the y-axis represents the doubling time for each district. Doubling time is a critical metric in understanding the rate of growth or decline of infections, indicating how long it takes for the number of cases to double. By segmenting the data into different phases of the lockdown, this plot provides insights into how the effectiveness of containment measures influenced the spread of the virus in different regions over time. It helps in assessing the impact of lockdown policies on controlling the outbreak and identifying areas that may require targeted interventions or support. Click here to see the graphs for all districts.