In 1854, the city of London witnessed a cholera pandamic event which was popularly called the "Broad Street cholera outbreak". English physician John Snow used maps to trace the source of a cholera outbreak and this led to significant improvements in general public health around the world. Inspired by this, we, the team of ECOTEN Urban Comfort which is an environmental engineering startup company that is dedicated to provide adaptation strategies to cities against climate change impact, have decided to use our experience and expertise to produce a map to identify how sentisive a city is to the coronavirus pandamic.

What it does

The Covid-19 Sensitivity Map identifies areas with a city where the most vulnerable populations to Covid-19 i.e. elderly, minority groups etc. are residing and also where the various health care facilities are available.

This map is designed to help city authorities identify where they can potentially expect a large number of infections and where they need to set up temporary make-shift health care facilities to protect the vulnerable population while minimizing the mobility for these people to access these facilities that they need.

How I built it

We built it using QGIS skills and some python programming.

Challenges I ran into

Finding the relevent data for the vulnerable populations to Covid-19 and also the various health-care facilities for cities across the world and finall to put them together in a singer web-based platform was quite a challenge.

Accomplishments that I'm proud of

We have managed to present the Covid-19 Sensitivity Map for seven cities across the world, namely, Prague, Vienna, Milan, Madrid, Strasbourg, New York City and San Francisco.

What I learned

I am learned much about the opendata that is available for several cities across the world and how to process and analyse them using GIS and python.

What's next for COVID-19 Sensitivity Map

There is potential for further work. The periodic locations of outbreaks within the city can be mapped by the city authorities in real time within this platform. Thic can help them take quick actions to control and curtail the spread of the pandamic. Also, a possibility to implement AI for enhanced decision making and analysis of the spread patterns can be implemented in this platform as well.

At this stage, it is important to get the necessary public relations attention from city authorites to better understand what kind of informations can be presented in this platform that can enable them to take quicker actions to protect there citizens. We hope that the EU can help us get the necessary public relations support.

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