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outbreak_analyser.py

# Outbreak Analyser This project provides a simulation tool for analysing the outbreak of infectious diseases based on reported cases and a gridded representation of the population. ## Table of Contents - [Introduction](https://github.com/babak2/outbreak_analyser/blob/master/#introduction) - [Features](https://github.com/babak2/outbreak_analyser/blob/master/#features) - [Getting Started](https://github.com/babak2/outbreak_analyser/blob/master/#getting-started) - [Prerequisites](https://github.com/babak2/outbreak_analyser/blob/master/#prerequisites) - [Installation](https://github.com/babak2/outbreak_analyser/blob/master/#installation) - [Usage](https://github.com/babak2/outbreak_analyser/blob/master/#usage) - [Model Output](https://github.com/babak2/outbreak_analyser/blob/master/#model-output) - [Plot](https://github.com/babak2/outbreak_analyser/blob/master/#plot) - [License](https://github.com/babak2/outbreak_analyser/blob/master/#license) - [Author](https://github.com/babak2/outbreak_analyser/blob/master/#Author) ## Introduction The Outbreak Analyser is a Python-based tool designed to simulate and study the dynamics of an infectious disease outbreak within a population. By utilizing reported cases and population data, the tool determines the outbreak center, calculates affected populations, and visualizes the population distribution. ### Problem to Solve In the context of infectious diseases, understanding the spatial and population dynamics of an outbreak is crucial for effective public health planning. This tool addresses key questions such as: 1. **Outbreak Center:** Where is the center of the outbreak, and what is the impact on the surrounding population? 2. **Affected Population:** What percentage of the population is affected by the outbreak? 3. **Population Visualization:** How can we visualize the population distribution and the outbreak center? ### Features - Analysis of infectious disease outbreaks based on reported case locations and population distribution. - Determination of the outbreak center. - Calculation of affected population and percentage. - Visualization of the population distribution with the outbreak center. ## Getting Started To get started with the Outbreak Aanalyser, follow these steps: ### Prerequisites Before running the model, make sure you have the following installed: - [Python](https://github.com/babak2/outbreak_analyser/blob/master/https://www.python.org/) (>=3.6) - [NumPy](https://github.com/babak2/outbreak_analyser/blob/master/https://numpy.org/) - [Matplotlib](https://github.com/babak2/outbreak_analyser/blob/master/https://matplotlib.org/) ### Installation 1. Clone the repository: ```bash git clone https://github.com/babak2/outbreak_analyser.git Navigate to the project directory: `cd outbreak_analyser` ## Usage If Python 3 is the only Python version installed on your machine, you can use the python command. For example: ```python outbreak_analyser.py ``` If both Python 2 and 3 are both installed, it's important to specify Python 3 using the python3 command. For example: ```python3 outbreak_analyser.py ``` ## Model Output After running the outbreak_analyser, you can expect to see the following output in the console: These values provide information about the outbreak, including the geographical centre, total population, affected population, and the percentage of the population affected. This information is important for understanding the impact and scope of the simulated outbreak. ## Plot The plot of result will be saved as in the output directory (default name is outbreak_plot.png).  ## License This project is licensed under the MIT License - see the [LICENSE](https://github.com/babak2/outbreak_analyser/blob/master/LICENSE) file for details. ## Author Babak Mahdavi Ardestani babak.m.ardestani@gmail.com

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