During the Covid-19 driven lockdowns (different phases) there have been hundreds of reports of deaths related to starvation, exhaustion (due to walking), alcohol withdrawal among other reasons.

Thejesh from Datameet shared this data on his website. This data has been curated and maintained by him, Aman (Assistant Professor of Legal Practice at Jindal Global School of Law), Kanika Sharma (PhD student at Emory University), Krushna (PhD student at Syracuse University).

While there are over 611 (as of 22nd May) such reported deaths, this map showcases 476 incidents (resulting in ~560 deaths) that they were able to track from news reports.

Update

31st May

• We published the names of all those who died on BehanBox at http://covid19indiaresponse.behanbox.com/ including the map.
• I cross-posted this on my personal blog: https://bkamapantula.github.io/nonvirusdeaths/
• updated data here reflecting the data updated on datameet

Notes

• Source data from datameet.
• Version used for the map maintained by me with the below changes:
  • create address column as a combination of these columns: value_location, value_district, value_state using Google Sheets.
  • derive latitude, longitude (from address column) using Geocode by Awesome Table Google Sheets plugin.
  • derive age column (from value__name_age column) using REGEXEXTRACT function in Google Sheets.
  • remove instances such as “his brother”, “his wife” etc. before a person’s name. specific instances:
    • “his brother Jeetendra (30) and uncle Mohan Nishad (40)”
    • “Ashfaq (75), Rajkumar Yadav (52), [both of whom died on April 11]”
    • “his wife Bhooli (60)”, “his wife Gurjinder Kaur (55)”, “his wife Tulasi (60)”
  • add 9 names from a Tweet.
  • removed extra phrases such as “passed away on…”
  • removed “Other details” instance