Welcome to the Malaria-In-Africa project! This GitHub repository contains code and data for conducting an in-depth analysis of malaria incidence in Africa. The goal of this project is to explore and understand the demographic patterns of malaria cases in different African regions and develop predictive models to anticipate its spread.
Malaria continues to be a significant public health issue in Africa, affecting millions of people each year. The Malaria-In-Africa project aims to analyze and visualize the patterns of malaria incidence across different African countries and regions. Additionally, it seeks to build predictive models that can forecast the future spread of malaria based on demographic and environmental factors.
The data used in this project comes from reputable sources such as the World Bank and UNICEF. These organizations provide valuable data related to malaria incidence, demographic information, climate data, and other relevant factors in various African countries.
The analysis phase of this project involves exploring the collected data to gain insights into the demographic factors that influence malaria incidence in Africa. Exploratory data analysis (EDA) techniques will be used to identify trends, patterns, and potential correlations between variables.
Building on the insights gained from the analysis, predictive models will be developed using machine learning algorithms. These models will aim to forecast malaria incidence in specific regions based on various features like population density, climate conditions, and historical malaria rates.
To use the code and replicate the analysis or predictive models, follow these steps:
- Clone the repository to your local machine using
git clone https://github.com/your-username/Malaria-In-Africa.git. - Navigate to the project directory:
cd Malaria-In-Africa. - Install the required dependencies listed in the
requirements.txtfile:pip install -r requirements.txt. - Execute the Jupyter Notebooks in the
notebooksdirectory to reproduce the analysis and modelling steps.
This project is licensed under the MIT License. Feel free to use, modify, and distribute the code as per the terms of the license.
We acknowledge the efforts of the World Bank and UNICEF for providing the valuable data used in this project. Their contributions are invaluable in combating malaria and improving public health in Africa.
We hope that the Malaria-In-Africa project will contribute to the understanding and management of malaria in Africa. If you have any questions, feedback, or suggestions, please don't hesitate to reach out. Thank you for your interest in this project!