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Portal de dados do Projeto Alerta Dengue

Home Page: https://info.dengue.mat.br/

License: GNU General Public License v3.0

Python 1.61% CSS 0.69% JavaScript 1.74% HTML 40.64% Shell 0.02% Jupyter Notebook 54.76% PLpgSQL 0.52% Smarty 0.01% Dockerfile 0.02%
science epidemiology surveillance dengue-fever

alertadengue's Introduction

AlertaDengue

This repository contains the main applications and services for the InfoDengue web portal.

InfoDengue is an early-warning system to all states of Brazil, the system is based on the continuous analysis of hybrid data generated through the research of climate and epidemiological data and social scraping.

For more information, please visit our website info.dengue.mat.br to visualize the current epidemiological situation in each state.


Sponsors


How to contribute with InfoDengue

You can find more information about Contributing on GitHub. Also check our Team page to see if there is a work oportunity in the project.


How data can be visualized

The Infodengue website is accessed by many people and it is common for us to receive news that this information is used in the definition of travel and other activities. All data is compiled, analyzed and generated in a national level with the support of the Brazilian Health Ministry, the weekly reports can be found in our website through graphics or downloaded in JSON and CSV files via API.

API

The InfoDengue API will provide the data contained in the reports compiled in JSON or CSV files, it also provides a custom range of time. If you don't know Python or R, please check the tutorials here.

Reports

If you are a member of a Municipal Health Department, or a citizen, and you have interest in detailed information on the transmission alerts of your municipality, just type the name of the city or state here.


Where the data comes from

  • Dengue, Chikungunya and Zika data are provided by SINAN as a notification form that feeds a municipal database, which is then consolidated at the state level and finally, federally by the Ministry of Health. Only a fraction of these cases are laboratory confirmed, most receive final classification based on clinical and epidemiological criteria. From the notified cases, the incidence indicators that feed the InfoDengue are calculated.
  • Weather and climate data are obtained from REDEMET in the airports all over Brazil.
  • Epidemiological indicators require population size. Demographic data of Brazilian cities are updated each year in Infodengue using estimates IBGE.

Check out below the softwares we use in the project:

Django postgis docker
celery nginx plotly

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