Overview

In the recent years the world has witnessed a dramatic surge of a mosquito-borne viral disease commonly known as - Dengue. According to the World Health Organization (WHO) an estimated 500,000 people are hospitalized each year due to this disease. Today, 40% of the world population is at risk of being affected by Dengue. The prime carrier of this disease are the female mosquito of the "Aedes aegypti" species. But not all corners of the world are equally likely to be affected by Dengue nor is everyone at similar level of risk. Using NASA satellite data points coupled with NASA datasets on soil, water, temperature, air quality and density of population of a particular area, applying machine learning models, we present a predictive analytics tool which will predict the next hotspot of Dengue and help us save lives of millions of people, by taking preventive action or supplying adequate medical resources before it's too late.

Github: https://github.com/Team-Hawking/dengue-hotspot-predictor

Metrics

Metrics are the factors which can help us generate a predictive value for the breeding spot of Aedes mosquito and the outbreak of Dengue as whole. The key metrices we are considering: Temperature, Precipitation, Relative Humidity, Vegetation, Railfall, Urbanization, Population density

References:

• NASA Open Data Portal
• NASA Earth Data
• NASA Earth Observatory
• NASA Vegetation Data
• NASA - Global Precipitation Measurement
• NASA World Weather
• Impact of rainfall on Aedes aegpyti populations
• Periods of high dengue transmission defined by rainfall do not impact efficacy of dengue vaccine in regions of endemic disease
• Forecast of Dengue Incidence Using Temperature and Rainfall
• DataVizProject
• Effect of temperature, relative humidity and rainfall on dengue fever and leptospirosis infections in Manila, the Philippines

Datasets:

• NASA - Vegetation Index and Phenology (VIP) Vegetation Indices Daily Global 0.05Deg CMG V004
• NASA - Mirador Water and Energy Cycles
• NASA GES-DAAC PAL vegetation continent
• NASA World Weather

Github:

• https://github.com/Team-Hawking/dengue-hotspot-predictor