Chapter 1 of the Economic Survey 2020-21 (indiabudget.gov.in/economicsurvey/): a glowing report on the govt's handling of the COVID crisis, and a case study in what happens when science is abandoned for propaganda. Page after page of spin and dishonesty, but here's just one example... 1/5
...These two pictures show "actual vs. expected" cases and deaths for different states. Bihar does well (green) and Chhattisgarh does badly (red). Why? Because Bihar has fewer recorded COVID cases and deaths than "expected", and Chhattisgarh more than "expected". But... 2/5
I'd earlier examined data from Bihar and Chhattisgarh quite carefully for a piece in The Wire Science - measured cases, recorded deaths and, crucially, serosurvey data. The basic conclusions of this analysis were simple. In the surveyed districts... 3/5
science.thewire.in/health/bihar-c…
...in Chhattisgarh (CH) a much smaller % had been infected than in Bihar (BH). But CH had picked up over 6% of its infections, while BH had picked up just 0.7%. CH had many more deaths - no surprise as BH was failing to identify its COVID infections & presumably also deaths. 4/5
In short, Chhattisgarh is shamed in Central govt propaganda for doing a decent job of monitoring its COVID epidemic, while Bihar is rewarded for its failure to do so. A simple message to state governments - don't spoil the party with your data. 5/5

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More from @muradbanaji

19 Oct 20
How many have had #COVID19 in Delhi? What % of infections have been detected? What is the fatality rate?

A (longish) #thread on Delhi's epidemic, with some analysis of its three serosurveys + other data. Details in a technical document linked at the end. (1/11)
First, Delhi's current surge (which may be winding down) is real - not just about better detection. But the actual surge in infections has been considerably smaller than in June - detection has increased a lot, making it seem larger. (Similar story to Mumbai - more later.) 2/
Prevalence estimate: by mid-August between 37% and 49% of Delhi people had had COVID. By mid-September: between 43% and 60%. The wide range reflects many uncertainties. When the October serosurvey results are out, we'll know more. (bloombergquint.com/coronavirus-ou…) 3/
Read 11 tweets
11 Aug 20
Some general thoughts (in random order) on COVID-19 death undercounting in India following the recent article in The Hindu (thehindu.com/opinion/op-ed/…) by @giridar100 and collaborator, and the response from @oommen (orfonline.org/expert-speak/f…). 1/
The documented instances of COVID-19 death undercounting are too many and too major in scale to be treated as aberrations. Many have followed similar patterns - for example omitting deaths from "comorbidities" and suspected deaths.
The "urban areas have high MCCD coverage" argument is something of a red herring. Delhi, with its high MCCD coverage, saw *huge* undercounting before subjected to pressure. Mumbai too added in lots of missed COVID-19 deaths in June (~1700).
Read 11 tweets
31 Jul 20
I took a look at Mumbai's #COVID19 data by age and came to some worrying conclusions. I'd encourage people celebrating seemingly low IFR values to look more closely. I used: Spain's IFR data; and Mumbai's age pyramid, age-structured fatality data, and seroprevalence data. 1/6
Naive IFR from Mumbai's seroprevalence and fatality data is ~0.12% (not, I think, 0.05-0.1% as is widely quoted).

An "expected IFR" for Mumbai, using Mumbai's age pyramid and Spain's age-dependent IFR is ~0.22%.

These two values hide a more complicated story. 2/6
IFR in some age groups, particularly 40-60, appears to be quite a lot higher (about 60% higher) in Mumbai than in Spain, even *assuming no death undercounting*. If there is death undercounting in this age group, then IFR goes up further. This should be a cause for concern. 3/6
Read 6 tweets
18 Jul 20
Some news reports on COVID-19 death undercounting in India... 1/

West Bengal: 50% of deaths (late March to April) were omitted on account of comorbidities before a "reconciliation" in early May. (Modelling suggests undercounting continued after this.)
hindustantimes.com/india-news/cov…
Delhi. Many deaths went "missing" between mid-April and mid-May. Some were added back over the next month. (Modelling suggests at least 3/4 of deaths were missing at the worst point, and the reconciliation was probably incomplete.) thewire.in/government/del…
Tamil Nadu. Only about half of the COVID-19 deaths recorded by the Greater Chennai Corporation had made it to the state register by early June (scroll.in/latest/964371/…). More have since been going missing from the official count. (timesofindia.indiatimes.com/city/chennai/2…).
Read 10 tweets
19 Jun 20
What is happening with COVID-19 in badly hit Delhi? Some observations from the data and modelling. Thread. 1/5

1) Cases are not slowing down. Doubling time over the past month has hovered around 14 days (its current value) - much worse than the national average.
2) Test positivity has been rising to dizzying heights (about 30%), which suggests strongly that "case detection" - the proportion of cases detected in testing - is falling. Simply put: testing is not keeping up with infection, but this could be changing now. 2/5
3) As least some (most?) of Delhi's missing deaths have been added back in. E.g., if we assume constant case detection, then we're almost there. With case detection down about 40%, there are still over 1000 deaths missing. (Second scenario is still conservative.) 3/5
Read 5 tweets

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