This is a project using ‘Python’ language developed by Felipe Solares da Silva to build interactive maps to analyze Covid-19 occurences in Brazilian territory in 2020.
For this project, we gather information from Brazilian Health Ministry Site (https://covid.saude.gov.br/). The site compiles all reported information from all brazilian states such as: incidence, confirmed cases, confirmed deaths and mortality. They provide a CSV file, daily updated, since the first COVID occurrence. After lots of cleaning and transforming, we structure the data and store it into a new CSV file (that you can find in this repository!) for our futher analysis.
Geoff Boeing - Urban planning and spatial analysis professor at USC: https://geoffboeing.com/2014/09/using-geopandas-windows/
Brazilian Health Ministry Site: https://covid.saude.gov.br/
folium - Python Package Documentation - https://python-visualization.github.io/folium/modules.html
Interactive Maps in Python - https://www.earthdatascience.org/courses/scientists-guide-to-plotting-data-in-python/plot-spatial-data/customize-raster-plots/interactive-maps/
Incidence vs Prevalence - https://www.diferenca.com/incidencia-e-prevalencia/
How I Understood: Building Interactive Maps using Python - https://codeburst.io/how-i-understood-displaying-interactive-maps-using-python-leaflet-js-and-folium-bd9b98c26e0e