FarolCovid 🚦

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Ferramenta de monitoramento do risco de colapso no sistema de saúde em municípios brasileiros com a Covid-19.

Monitoring tool & simulation of the risk of collapse in Brazilian municipalities' health system due to Covid-19.

Fontes de dados

Os dados utilizados na ferramenta estão na nossa API, cujas fontes são:

• Brasil.IO
• DataSUS

Veja mais detalhes na página de Metodologia da ferramenta.

Referências metodológicas

Os modelos e respectivos códigos utilizados são baseados no trabalho de <a href="https://github.com/alsnhll/SEIR_COVID19">Alison Hill</a> e <a href="https://www.cappra.institute">Cappra Institute for Data Science</a> (modelo SEIR), e Kevin Systrom (ritmo de contágio), além de diversos estudos utilizados na nossa metodologia:

• CDC, 2019. Severe Outcomes Among Patients with Coronavirus Disease 2019 (COVID-19) — United States, February 12–March 16, 2020. MMWR Morb Mortal Wkly Rep. ePub: 18 March 2020. DOI: http://dx.doi.org/10.15585/mmwr.mm6912e2.

• Li, R., Pei, S., Chen, B., Song, Y., Zhang, T., Yang, W., & Shaman, J., 2020. Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV2). Science, 3221(March), eabb3221. DOI: https://doi.org/10.1126/science.abb3221

• Wang, C, et al. (2020) Evolving Epidemiology and Impact of Non-pharmaceutical Interventions on the Outbreak of Coronavirus Disease 2019 in Wuhan, China. DOI: https://doi.org/10.1101/2020.03.03.20030593 e pdf de apresentação https://docs.google.com/presentation/d/1-rvZs0zsXF_0Tw8TNsBxKH4V1LQQXq7Az9kDfCgZDfE/edit#slide=id.p1

• Wang, J., Zhou, M., & Liu, F., 2020. Reasons for healthcare workers becoming infected with novel coronavirus disease 2019 (COVID-19) in China. Journal of Hospital Infection. DOI: https://doi.org/10.1016/j.jhin.2020.03.002

Veja mais detalhes na página de Metodologia da ferramenta.

📊 Como colaborar com análises

Estamos migrando as análises para outro repositório! Veja mais em coronacidades-analysis 😉

⚙️ Como executar a aplicação localmente?

Utilizando Python + Virtualenv

# Instale o 'make'
sudo apt-get install -y make

# Crie o virtualenv
make create-env

# Execute o servidor com API externa
make serve

# Execute o servidor com API local. 
# Para isso, você terá que subir a API do simulacovid-datasource
# 1. Para subir o servidor local: `make server-build-run`
# 2. Abra outro terminal e rode para subir os dados: `make loader-build-run`
make serve-local

Utilizando o Docker (Linux)

# Instale o Docker
curl -sSL https://get.docker.com | sudo sh

# Instale o 'make'
sudo apt-get install -y make

# Execute o servidor
# ficará disponível em http://localhost:8501/
make docker-build-run