My article in the Indian Express today.

Places the potential Covid death under-reporting factor in Gujarat for April 1-May 10, 2021, at 11.

Unfortunately, high chance of 1 Million+ Deaths in India in second wave.

Twitter thread on method (1/n).

indianexpress.com/article/opinio…
@Divya_Bhaskar @DevendraBhatn10 broke story on May 14, showing a death under-reporting factor of 16 for March1-May10, using 2020 as the reference.
I use April1-May10, 2019 as the reference and project for 2021 using 2017-19 growth rates and get under-reporting factor of 11.
To see this, let's start with Ahmedabad Municipal Corporation. Excess mortality of 3K+ over 748 reported Covid deaths for Apr1-May10 (40 days) gets you an under-reporting factor of over 4. That's bad but wait till you see Rajkot.
Rajkot saw excess mortality of around 8K over 267 reported Covid deaths in this period or an under-reporting factor of 30!
Here's a summary of the 8 municipal corporations of Gujarat where death registration is near-complete and for all-Gujarat as well. Ahmedabad and Rajkot are similar on reported Covid deaths per capita but Rajkot is 10 TIMES higher than Ahmedabad on excess mortality per capita.
This is in tune with crematorium data in Rajkot (where several new crematorium grounds were opened) as recounted by @deepakpatel_91 almost on a daily basis. Rajkot has one-third less Covid bed capacity than similar-sized Vadodara, providing some clues.
The numbers reported by @Divya_Bhaskar are in tune with the daily updates given by @deepakpatel_91, scanning the local press on Covid patients dying but not counted as Covid-dead. This is just a snapshot summary table from his Twitter posts for 3 days in the past week.
Back to the key table: Excess mortality per capita seems to worsen with smaller settlement sizes. It appears to have little relation with reported covid-mortality or covid-caseload per capita.
Jamnagar is one exception since it shows high reported Covid caseload and deathload per capita but lower excess mortality per capita, presumably because of relatively better reporting.
The Gujarat numbers are significant because they cover a reasonably large state which has near-complete death registration statistics. Under-reporting factors will vary wave to wave and place to place.
In the first wave, we have the data for BMC (Mumbai) which shows an under-reporting factor of 1.6-2 (see work of @muradbanaji). About 20K excess deaths in 2020 vs. 11K reported Covid deaths.
Its quite likely that BMC (Mumbai) has one of the best reporting in India on deaths.
Digression: I mean they were doing this in 1916 during the plague pandemic.
(courtesy @bombayologist Instagram page, courtesy Central Archives Cell, BMC).
2020 also saw a more stringent national lockdown that cut down deaths due to accidents and some other causes. Some places also witnessed declines in overall deaths in 2020 compared to earlier years. Rural areas were much less affected by Covid in 2020 than in 2021.
Anand Krishna estimates under-reporting factor of 1.8-4 for Faridabad in Haryana in 2020.
thehindu.com/opinion/lead/c…
Overall, all-India under-reporting for first wave is likely to exceed 2 but maybe not 5. That was for around 150K reported Covid deaths.
But with the value of 11 for Gujarat in the core period of the second wave, with similar stories coming from Uttar Pradesh, Madhya Pradesh, Rajasthan (see news clips below) and many other states, under-reporting factor is going to be much higher.
India reported around 150K Covid deaths between March 1-May 24 and this number will be in the 200K-300K by the time the second wave recedes. An all-India under-reporting factor of "only" 3-5 takes the second wave death toll past a million.
It will much higher, as will be uncovered by the next Census/SRS, where even rural deaths can be estimated.
My research on the 1918 influenza outbreak in India placed it as 3x i.e. about 20 million deaths instead of the 6 million reported then.
Implication 1: Don't compare states on reported Covid cases or deaths per capita because the under-counting factors are going to vary big time in the second wave.
Implication 2: India is likely to be most affected country by Covid deaths in the world. One of the worst affected, even on a per capita basis, in Asia and Africa. And even on a per capita basis, catching up with the USA, Europe (which have a much older population)
Implication 3: Reported Covid numbers may be useful to some extent, but they simply don't tell the scale of the ongoing second wave tragedy. Real-time release of death regd. statistics is a must. Policymakers should take heed from the ancient text-Arthashashtra #TheAgeOfPandemics

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More from @ChinmayTumbe

26 Apr
Lot of talk on the scale of under-reporting of deaths in India in this Covid19 wave. My research on the 1918 influenza outbreak in India placed it as 3x i.e. about 20 million deaths instead of the 6 million reported then. A thread on how researchers calculate such stuff (1/n)
The first estimates were given by Norman White in February 1919 as 6 million based on the data the govt. was collecting. This covered only British India and not the princely states where such data was rarely collected + the death registration system collapsed during the pandemic.
The first correction to this came from Census officials when they discovered massive shortfalls in villages and towns when they enumerated in 1921, relative to 1911. In 1924, J.T.Marten, the Census official, took the influenza toll up by a few millions in the Indian subcontinent.
Read 8 tweets
21 Apr
Over the last week, Covid has overtaken TB as the single most dangerous communicable disease in India, crossing the 1,000 daily death mark and moving into the 2,000 zone. Table below shows comparison of daily deaths in India and US in pre-Covid times. Short morbid thread (1/n)
2K Covid daily deaths (reported) on 26K daily deaths (pre-Covid) reflects close to 10% surge. In US, in early-Feb, 5K Covid daily deaths on 8K daily deaths (pre-Covid) reflected close to 60% surge. At that kind of a surge rate, India would have 15K Covid daily deaths.
Hopefully we don't get anywhere close to that. But the surge is going to continue past 2K. Attention to crematoriums and cemetery's, already on, will intensify. Cruel as it sounds, some planning on this end for the next one month would give some dignity to the suffering families
Read 5 tweets
13 Apr
Building on this thread on company towns, a new thread on another form of urban governance structure, that we all have seen, visited and maybe even lived in: Cantonments! (1/n).
There were 59 Cantonments listed by Census 2001 and their distribution across India closely mirrors the history of British military pursuits....more dense between Calcutta and Delhi and very few in South India.
In 2011, 3 of them had a population of over 100K: Secunderabad (200K+), Kanpur and Delhi. Between 60K-100K: Meerut, Ramgarh, Mhow, Kirkee, Jabalpur, Pune. Median population was 20K. Map with labels shown below.
Read 7 tweets
12 Apr
Prompted by @CafeEconomics, a short thread on company towns in India like Tatanagar (Jamshedpur), Kirloskarwadi, Modinagar (all three pre-1947) and the ones that followed them. (1/n)
Urban governance structures in India are of various types, as shown in this table. Jamshedpur is today a Notified Area Committee (NAC). There were 36 Industrial Notified Areas/Townships in 2011. They have municipal functions, and can often raise taxes.
This map shows the 20+ Industrial townships (INA/ITS) that existed in 2001. Almost all are in Gujarat. The median population was only a few thousand people. In 2011, Raurkela was the biggest with a population of more than 100K, followed by BHEL Ranipur at 25K.
Read 8 tweets
28 Sep 20
While there are books on Maruti-Suzuki and ITC, we do need good business histories on Colgate, Asian Paints, Pidilite, Exide and Laxmi Machine Works which have all held market dominance for so long. A brief thread on Indian corporate biographies.
My favorite is Muthiah's 'The Spencer Legend'; Spencer was the pioneer with a pan-Indian retailing in early 20th c, aggressive M&A and lots of interesting strategies. On Indian retailing history, see our work at: emerald.com/insight/conten…
There's a lot on the TATAs; then there's Godrej, Bank of Baroda, and so on. More than 50 such corporate biographies are listed in this c.2004 Indian business history bibliography by N. Benjamin and P. N. Rath on pages 20-24. PDF available on this link: dspace.gipe.ac.in/xmlui/handle/1…
Read 5 tweets
16 Sep 20
That time of the year where students look for reference letters for applying for PhD abroad. A short thread on academics doing well, having done their PhD's in India (within past 20-odd years). Foreign PhDs are great. Indian too. #AtmaNirbharAcademia
Dr. Manu V Devadevan, winner of Infosys Prize 2019, PhD from Managalore University in 2011, now at IIT Mandi. Incredibly multi-lingual. Inspiring story. onmanorama.com/news/campus-re…
Reetika Khera, Economist, PhD from Delhi School of Economics, now at IIT Delhi (former colleague at IIMA). Expert on social policies. Only 3000+ citations to her work but more importantly, there's also a Wikipedia page.
en.wikipedia.org/wiki/Reetika_K…
Read 5 tweets

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