https://pamepi.rondonia.fiocruz.br/en/covid_en.htmlhttps://pamepi.rondonia.fiocruz.br/en/covid_en.html
The current file contains community-level aggregate information extracted from health, human mobility, population inequality, and non-pharmaceutical interventions. The integration of variables from different sources facilitates the data analysis and epidemiological studies once the data set is aligned and represents a single entry for each city and day since the beginning of the pandemic in Brazil.
The data includes, for example, the daily time series of mild to moderate cases resulting from the Flu Syndrome database, hospital occupancy and deaths from the Severe Acute Respiratory Syndrome database, vaccine doses administered daily, etc.
To familiarize yourself with the data, a data explorer and dictionary are also available at https://pamepi.rondonia.fiocruz.br/en/aggregated_ en.html, and codes used to create the data set can be found on our GitHub directory https://github.com/PAMepi/PAMepi_scripts_datalake.git.
This work can be cited as: 1. Platform For Analytical Modelis in Epidemiology. (2022). GitHub directory: https://github.com/PAMepi/PAMepi_scripts_datalake.git. PAMepi/PAMepi_scripts_datalake: v1.0.0 (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.6384641
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https://pamepi.rondonia.fiocruz.br/en/covid_en.htmlhttps://pamepi.rondonia.fiocruz.br/en/covid_en.html
The current file contains community-level aggregate information extracted from health, human mobility, population inequality, and non-pharmaceutical interventions. The integration of variables from different sources facilitates the data analysis and epidemiological studies once the data set is aligned and represents a single entry for each city and day since the beginning of the pandemic in Brazil.
The data includes, for example, the daily time series of mild to moderate cases resulting from the Flu Syndrome database, hospital occupancy and deaths from the Severe Acute Respiratory Syndrome database, vaccine doses administered daily, etc.
To familiarize yourself with the data, a data explorer and dictionary are also available at https://pamepi.rondonia.fiocruz.br/en/aggregated_ en.html, and codes used to create the data set can be found on our GitHub directory https://github.com/PAMepi/PAMepi_scripts_datalake.git.
This work can be cited as: 1. Platform For Analytical Modelis in Epidemiology. (2022). GitHub directory: https://github.com/PAMepi/PAMepi_scripts_datalake.git. PAMepi/PAMepi_scripts_datalake: v1.0.0 (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.6384641