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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.txt

Exibindo o Dashboard

Apenas executar o comando no terminal:

streamlit run src/dashboard.py

Ou executar pelo windows:

python -m streamlit run src\dashboard.py

Campos 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

Languages

Python100.0%

Contributors

MIT License
Created November 10, 2025
Updated February 22, 2026