LE
Lealwbs/arboviral-epidemic-predictor
Artificial intelligence-based data organization and modeling for arboviral epidemic prediction.
Arboviral Epidemic Predictor
Artificial intelligence-based data organization and modeling for arboviral epidemic prediction.
Instalando Dependências
Apenas executar o comando no terminal:
pip install -r requirements.txtExibindo o Dashboard
Apenas executar o comando no terminal:
streamlit run src/dashboard.pyOu executar pelo windows:
python -m streamlit run src\dashboard.pyCampos da tabela
| Name | Description |
|---|---|
| id | Unique identifier for each row; primary key of the dataset. |
| year | Year of the observation (2000–2025). |
| month | Month of the observation (1–12). |
| municipality_code_ibge | Official 7-digit IBGE municipality code (Brazil). |
| municipality_name | Name of the municipality corresponding to the IBGE code. May be stored in a separate lookup table. |
| dengue_cases | Number of reported dengue cases in the month. |
| estimated_population | Estimated population of the municipality (e.g., IBGE 2022). |
| rainfall_mm | Total monthly precipitation (millimeters). |
| average_humidity | Average monthly relative humidity (%). |
| average_temperature | Average monthly temperature (°C). |
Prefixo código de municípios IBGE
| UF | Código | Estado |
|---|---|---|
| 11 | RO | Rondônia |
| 12 | AC | Acre |
| 13 | AM | Amazonas |
| 14 | RR | Roraima |
| 15 | PA | Pará |
| 16 | AP | Amapá |
| 17 | TO | Tocantins |
| 21 | MA | Maranhão |
| 22 | PI | Piauí |
| 23 | CE | Ceará |
| 24 | RN | Rio Grande do Norte |
| 25 | PB | Paraíba |
| 26 | PE | Pernambuco |
| 27 | AL | Alagoas |
| 28 | SE | Sergipe |
| 29 | BA | Bahia |
| 31 | MG | Minas Gerais |
| 32 | ES | Espírito Santo |
| 33 | RJ | Rio de Janeiro |
| 35 | SP | São Paulo |
| 41 | PR | Paraná |
| 42 | SC | Santa Catarina |
| 43 | RS | Rio Grande do Sul |
| 50 | MS | Mato Grosso do Sul |
| 51 | MT | Mato Grosso |
| 52 | GO | Goiás |
| 53 | DF | Distrito Federal |