Comparing The First and Second Wave Of COVID-19 in Italy Through Python Pandas

Comparing The First and Second Wave Of COVID-19 in Italy Through Python Pandas

In this tutorial I implement the code to compare some measurements related to the first and second waves in Italy.

In this tutorial I implement the code to compare some measurements related to the first and second waves in Italy. In my previous post, I dealt with the ratio between the number of total cases and number of swabs. In this post, I consider the following types of measurements:

  • number of deaths
  • number of patients admitted to the intensive care
  • number of number of hospitalized. I exploit the Python pandas library. The code is very simple and reusable thus it can be easily adapted to data related to other Countries.

Every measurement is analysed from two perspectives:

  • cumulative measure — the measure related to a given day is the sum of all the measurements of the previous days plus the measurement of the current day.
  • daily measure — the measure related to a given day is given only by the measurement of the previous day.

In addition, for each measurement, I provide the code to compare data related to the first wave with data related to the second wave. I set the 2020, July 31st as the splitting date between the first and second wave.

All the code described in this tutorial is available in my Github repository.

covid19 second-wave-of-covid-19 data-science python pandas

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