Infodengue Flet Application

A Flet-based application for visualizing dengue, zika and chikungunya data from Brazil.

Features

• Interactive state-level choropleth maps
• City-level time series charts
• Disease selection (Dengue, Zika, Chikungunya)
• State and city search functionality
• Data caching for better performance

Requirements

• Python 3.12+
• Flet with all dependencies (see pyproject.toml)

Installation

1. Clone this repository:

git clone https://github.com/your-repo/Infodengue_flet.git
cd Infodengue_flet

2. Install uv On Mac and Linux:

curl -LsSf https://astral.sh/uv/install.sh | sh

On windows:

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

3. Create and activate a virtual environment:

uv sync 

Running the Application

Start the application:

uv run flet run main.py

The application will:

• Launch the desktop application
• Default to Rio de Janeiro data
• You can select other states and cities using the dropdown menus

Key Components

Data Access

• Uses InfodengueMaps class from geodata/features.py to:
  • Connect to WFS geoserver
  • Fetch state and city boundaries
  • Get city names and codes

Visualizations

• State maps using Matplotlib (viz/charts.py)
• City time series using Plotly (viz/charts.py)
• Interactive controls for data selection

Configuration

You can modify:

• Default state/city in main.py
• Date ranges in viz/charts.py
• Map styles in viz/charts.py

Data Sources

• Case data through the MOSQLient library
• Geographic data from InfoDengue WFS server

Screenshot