Are you ready to fight back with the covid-19 outbreak?

COVID-19 is going all over the world without giving a clue how to defeat it. This is an epidemic situation according to the WHO

The main issue is this virus it is not showing any symptoms when it infected. According to the medical reports the person who infects with COVID-19 can work as a vector before showing any symptoms. According to the University of Minnesota, This is a very serious situation.

When we see those details finding a cure is not enough to fight back with this COVD-19. We need a proper way to manage this situation. If we can identify persons who can be infected correctly then we can start to stop these spreading behaviors. Most of the peoples are using mobile phones which has GPS access.

IDEA

Identify COVID-19 infected peoples by analyzing identified infected person locations

We are going to use the infected person's location details to identify suspected persons.

Step 1.

Store user location in his mobile device. This is a very good choice when we consider data protection and privacy.

We can keep longitude, latitude, date and time period so we can save location details per 20 minutes.

longitude, latitude, date and time

Step 2

When we find a person with COVID-19 then we will update those details in our servers. If a person is not in the system we can update his last location details manually.

longitude, latitude, data time, unique case id from the server

Step 3

Once we found the corresponding person location list it can be thousands of records according to his behavior.so it is wasting time and data if we send all location details to the users. That’s why we need to cluster them into most suitable centroids like the above chart using the clustering algorithm such as K-mean

By Sending those centroids to all users we can identify who was in the threat zone. If someone found he is near those locations then we will check all available location records against the corresponding record.

If we found Person 1 with COVD-19 infection then Person 2 has the highest chance to have the COVD-19 without showing any symptoms and this can be also effected to neither he has any contact with Person 1

Step 4

Once we found the person who has the highest chance to contact an infected person then we can do further analysis by using a simple questionnaire like that.

If the user meets him within 5 days then we can suggest him to be alert

If a user meets an infected person within 10 days of time then we can ask more details about the user’s health situation.

If a user has symptoms then we can suggest him to go to the nearest hospital by giving the exact location to the user

My idea is to develop a mobile app with a server that can do the above tasks. also, I will keep those project as an open-source project for the transparency and also I would like to have experts helps to do this task.

I would like to have your idea regarding this app idea. and you are warmly welcomed to join me.

Also, I want to get more public attention, because it is easier to optimize the idea and project. regarding that can you give a lift by sharing this article in your feeds.

Twitter https://twitter.com/DEWMAL3/status/1238640237984862209?s=19

You can find more details about this project from here

GitHub https://github.com/ayubowan

My personal email dewmalnilanka@gmail.com