Historical Analysis of COVID-19 in Brazil

Complete visualization of the pandemic evolution with data from 2020 to 2023

Methodology

This project uses data from the COVID-19 BR repository on GitHub, collected from official epidemiological bulletins. The data is processed with Python (Pandas) for temporal and spatial analysis, with visualizations generated by Matplotlib and Seaborn.

Data source: COVID-19 BR Dashboard on GitHub

Code available at: GitHub Repository

Weekly Cases in Brazil

Weekly COVID-19 cases in Brazil

The epidemiological curve shows the evolution of weekly confirmed cases throughout the entire pandemic. The peaks represent different COVID-19 waves in the country, highlighting the most critical periods in 2021 and 2022.

Weekly Deaths in Brazil

Weekly COVID-19 deaths in Brazil

Tracking of weekly COVID-19 deaths. The visualization allows identifying periods with higher mortality, correlating with circulating variants and vaccine availability.

Weekly Lethality Rate

Weekly lethality rate

The lethality rate (deaths/cases) shows significant variations throughout the pandemic, reflecting changes in testing, emergence of new variants, and vaccination effects.

State Comparison - Cases

Weekly cases by state

Comparative analysis between eight Brazilian states, showing how the pandemic evolved heterogeneously across different regions of the country. São Paulo and Rio de Janeiro had the first cases, while other states peaked at different times.

State Comparison - Deaths

Weekly deaths by state

COVID-19 mortality patterns in selected states. The differences in curves reflect inequalities in healthcare infrastructure, prevention measures adopted, and demographic characteristics.

Top 5 States - Deaths per 100k Inhabitants

Deaths per 100k inhabitants

Ranking of states with highest proportional mortality during the entire pandemic. This metric is important to compare the relative impact of COVID-19 in populations of different sizes.

Key Findings

  • • The pandemic had multiple waves with varying intensities over time
  • • Different states showed distinct temporal patterns of cases and deaths
  • • The lethality rate varied significantly during the pandemic
  • • When adjusted for population, the relative impact differed from the absolute