Through a platform, we will innovatively display relational data about COVID-19, assisting, for example, in the distribution of public resources to the locations that will most need it according to the website forecast
We note that resources to fight the epidemic are poorly distributed and that many people do not have enough information to deal with the virus. So we created a website that relates information in a useful way. Through a confusion matrix, we decided on the environmental data provided that interfere with the contamination curve, such as temperature and rainfall, and these will be variables for our forecast calculation. The application was developed in React, using apis to access data and display it. Our biggest problem was finding enough theoretical basis for our forecast, we are still refining functions to make the forecast.
Rainfall data: http://earth.jaxa.jp/en.html
Climate of some places in the world: https://kuroshio.eorc.jaxa.jp/JASMES/index.html
Data on COVID-19 cases: https://sedac.ciesin.columbia.edu/mapping/popest/covid-19/
Complementary data on COVID-19: https://ourworldindata.org/coronavirus-source-data
Occupation of hospital beds: http://www.utisbrasileiras.com.br/uti-adulto/caracteristicas-das-utis-participantes/#!/hospitais-utis-e-leitos-por-regiao