Prediction-of-Weekly-Dengue-Infliction-using-Machine-Learning | Using environmental data collected by various U

Prediction-of-Weekly-Dengue-Infliction-using-Machine-Learning is a Python library. Prediction-of-Weekly-Dengue-Infliction-using-Machine-Learning has no bugs, it has no vulnerabilities and it has low support. However Prediction-of-Weekly-Dengue-Infliction-using-Machine-Learning build file is not available. You can download it from GitHub.

Dengue fever is a mosquito-borne disease that occurs in tropical and sub-tropical parts of the world. In mild cases, symptoms are similar to the flu: fever, rash, and muscle and joint pain. In severe cases, dengue fever can cause severe bleeding, low blood pressure, and even death. Because it is carried by mosquitoes, the transmission dynamics of dengue are related to climate variables such as temperature and precipitation. Although the relationship to climate is complex, a growing number of scientists argue that climate change is likely to produce distributional shifts that will have significant public health implications worldwide. In recent years dengue fever has been spreading. Historically, the disease has been most prevalent in Southeast Asia and the Pacific islands. Using environmental data collected by various U.S. Federal Government agencies—from the Centers for Disease Control and Prevention to the National Oceanic and Atmospheric Administration in the U.S. Department of Commerce, prediction of dengue fever cases reported each week in San Juan, Puerto Rico and Iquitos, Peru is the main aim of this project. An understanding of the relationship between climate and dengue dynamics can improve research initiatives and resource allocation to help fight life-threatening pandemics. The data comes from multiple sources aimed at supporting the Predict the Next Pandemic Initiative. Dengue surveillance data is provided by the U.S. Centers for Disease Control and prevention, as well as the Department of Defense's Naval Medical Research Unit 6 and the Armed Forces Health Surveillance Center, in collaboration with the Peruvian government and U.S. universities. Environmental and climate data is provided by the National Oceanic and Atmospheric Administration (NOAA), an agency of the U.S. Department of Commerce. This project is a participation attempt in the competition DengAI: Predicting Disease Spread Hosted By DrivenData. Competition Link :