The online registrations data showed 6,67,900 & 6,93,800 deaths in 2018 and 2019 : 63.9% & 66.6% of the CRS' (2019) numbers. Plus some 6 districts had inconsistent data in 2018 and 2019. To come up with a clearer "excess deaths" estimate, we omitted them for adjustment (2/n)
If excess deaths were adjusted based on the % availability of data for 2018 & 2019 & re-calculated for the State (without the six omitted districts), the estimate increased to 3,10,727 deaths corresponding to a multiple of 4.1 over the official death toll of 75,877. (3/n)
Excess deaths estimates for various periods for #Maharashtra are here. (4/n)
Here's a cumulative look at State-wise estimates of excess deaths based on data from their respective Civil Registration Systems accessed by @the_hindu & others. If only averages of 2018 & 2019 are taken as a baseline, excess deaths were 6.3 times the official COVID19 toll (5/n)
Here's a district wise look at excess deaths, data availability, multiples and adjusted multiples for #Maharashtra. HT @muradbanaji for helping us doing this exercise. (6/n)
The rural-urban classification is based on @devdatalab's district wise data. HT @VigneshJourno for helping parse this. (7/n)
Next in the series on #excessdeaths that we are tracking State and city-wise across the country: Himachal Pradesh. "Excess deaths" here were just about twice the official COVID19 tally between April 2020 and May 2021: thehindu.com/news/national/… (1/n)
#Himachal had an interesting pattern. While deaths peaked in May 2021, the excess deaths multiple over the actual COVID19 death count was higher in 2020 (in the 1st wave: 2.8) than in 2021 (1.6). (2/n)
All said, #Himachal seems to be tracking #COVID19 deaths better than other North Indian States for whom full data on death registrations has been available so far. (3/n)
#Vaccination reality check: Yesterday marked the highest number of jabs in a single day in India. thehindu.com/news/national/… But as this shows, the peak seems artificial: scroll.in/article/998156…. Remains to be seen if supply constraints have been eased to maintain this pace. (1/n)
The pace of vaccination has definitely picked up but there are miles to go before targets are reached. Here is what, that remains to be done. (2/n) @the_hindu#Datapoint by @i_sumantsen and @nihalani_jasmin
Here's where we stand in terms of the estimated % of population that has been vaccinated so far, countrywide, and age-group wise. Only 3.7% of all Indians have been fully vaccinated & 17.2% have got atleast 1 dose (3/n) (See this tracker live on thehindu.com)
Excess deaths in #Karnataka were nearly 6 times (5.77) the COVID19 death toll from April 2020 to May 2021. That's close to the undercount factor in Tamil Nadu (6.2). My colleague Sharath S & I find based on monthwise #CRS data from 2015 to 2021 (1/n) thehindu.com/news/national/…
Karnataka recorded an estimated 1,67,888 excess deaths over the baseline mortality for five years (2015-19) in the pre-pandemic years. Graph shows the excess deaths peaks both in the 1st and in the 2nd wave (2/n)
Here's a comparison with the estimated undercount factors in other States for whom a similar exercise was done. #excessdeaths. Karnataka and Tamil Nadu with an undercount factor of 4.7/6.5 were better off than A.P. (34) & MP (42) for similar periods (3/n)
Context on why Centre finally heeds #SupremeCourt (after being questioned over its irrational policy) & the Opposition on centralised procurement of the vaccines: No. of people with 2 doses as a % of population is just 3.3% (See live tracker in thehindu.com) (1/n)
The supply from the Centre to the States was around 24.6 crores and the utilisation was around 23.11 crores (including wastage) which is roughly 93.94% of supply. Essentially States used nearly all of the Centre's supply (2/n)
Several #States raised global tenders to get procure vaccines from abroad. So far (IIRC), not a single vaccine manufacturer abroad has agreed to sell to #States. (3/n)
First, a lockdown is announced with a 4 hour notice period and without any preparations for the massive job losses for daily wagers/ casual labourers, which most migrant workers are in many Indian cities. (1/n)
Then, when workers ran out of jobs, essentials, social nets, they couldn't avail transport services to go back to their native places which offered them atleast a semblance of a social net as transport was shut down. Some buses were started and then they were shut. (2/n)
Then workers were asked to avail facilities provided by State governments where food and shelter were to be given to them. Data showed that except for Kerala & Delhi (to some extent), other States couldn't set this up sufficiently for such people. (3/n)
Here's what I know about #Covid19 & #India- 1) We aren't testing people who haven't had a travel history from abroad or have possibly been in contact with those with such a history. Except, reportedly for some 826 random people with flu symptoms that #ICMR tested & found no +ves
2) The number of cumulative cases of #Covid19 in India are as of now 180, with 161 active cases. This is a relatively low number compared to countries in the northern hemisphere. This could be low because community transmission hasn't taken off or we haven't really tested enough
3) If the assumption is the former, then India has among the flattest curves for rise in cases above 100 compared to many other countries. The only comparables are city-States like Hong Kong & Singapore.