Open anil-pandey-mpf opened 4 years ago
quick starting point would be just count the patient per city and put them in high, medium and low For further improvement: analyse patient profile and predict if patient would have met several ppl in last 14 days based on his/her work profile.
It will be hard to get city wise report as the city info is missing for 126 out of 612 records. We need more accurate result to get city wise stats.
Do we have state info ? if yes then do the following
We have city wise data now and missing city info is not a big deal since we have some info in district column as well. https://jsoneditoronline.org/#left=cloud.af647c63547e47eab03bc171ff90bb8b
I will work on visualization tomorrow. Any idea which graph should I use for it ?
Not an expert in UI, basically I am Machine Learning and backend guy. Sorry
@msoni11 can use the city filter pane.
I was planning to add a new tab called "Hot Cities" in filter pane and show network of patients connected with cities. It will show network graph of top 5 cities only and clicking on city node will display detailed information about that city on side pane.
Instead of adding new tab, I will now add a new button called "Hot cities" on city network area.
Very good work
Analyse all the patient reported in last 7 days and display city which should be on high alert. It will help ppl to be more careful on those cities.
Thanks