Develop an app or platform to crowd-source information for comparing changes in environmental factors, such as temperature, relative humidity, air pollution, with occurrence of symptoms of allergies and respiratory diseases. Create tools for public entry and grading of symptoms, including but not limited to cough, shortness of breath, wheezing, sneezing, nasal obstruction, itchy eyes; and geographic mapping of symptom frequency and intensity. Create a platform for comparison of symptom map with NASA provided data, with visualization options for web and/or smart phone.
A Website platform that provides integration between environmental changes
such as temperature and humidity and air pressure and diseases that occur due
to these changes.
Our main target is
People who suffer from Respiratory diseases.
And travelers who are at risk of contacting diseases in new locations they go to.
What do we do?
By using the user’s GPS, we find out what are environmental factors around
him, this includes:
Temperature, Humidity, Air pressure, wind speed.
How does this work?
The user opens our website, and enters information that we use in our
database. In turn, we provide them with a map, showing him the diseases that
he might contact in a place he is interested in going to.
Furthermore, we would be providing medical organizations with detailed report
of potential diseases as well as environmental factors that happen to be
correlated to them.
How are we doing this?
By crowd sourcing information from users, and from CDC (Center for Disease
control and prevention). And from using OpenWeather API, EsriMap API,
We would be providing a correlation between disease and environmental
After creating an integration between the two, and the data that is collected
from the users, we can come up with rules that use this data to predict disease
outbreaks, or potential health risks in certain locations where the
environmental factors apply.
With our project,
Travelling to developing countries would no longer be a problem to many,
Leaving the house to go to a new place, would no longer be trouble to people
with respiratory diseases.
An avian Influenza H7N9 virus, was proven to spike up when the weather
conditions met the following:
A wind speed of 1-2 m/s and a temperature of between 15-20 degrees Celsius.
The relative risk for measles incidents were associated with a mean
temperature of 27.9 °C (high temperature) and the relative risk for measles
incidents associated with relative humidity was 64%.
HealthMap, ESRI APIs, CDC (Center For Disease Control), OpenWeather API