Are the numbers of infected and dead that we check
every morning overstated or understated?
First, let me confirm both Johns Hopkins and
Worldometer are doing their job professionally. They are independent, the staff
competent and hard working, the processes automated, data transparent (both
mention sources, Hopkins includes raw data). They cover the world as best as
they can.
We must remember, though, there is a human being at
the other end. A Mafiosi killing could be mistaken for a Covid-19 death. A patient
dying alone at home may not go reported. It may simply be a typo.
The number of
total cases is not the total number of infected. Testing is low. Thousands
currently under house arrest may be positive if tested. This figure is
certainly understated.
Reporting recovery in cases is not mandatory anywhere.
People recovering in hospitals routinely go home with nobody closing the case.
(Closed cases= recovered + dead). This number is grossly understated, giving a
ridiculously high (19%) mortality percent in closed cases.
Deaths are the figure we believe in. There is
something definitive about death. Little space for doubt, you would think. But
that is not so. With resource constraints, autopsies are rarely performed. Covid-19
cases are classified into three categories: Suspect, Probable and confirmed. Suspect are those dying with Covid-like
symptoms but no tests. Probable are
those without tests but were in contact with someone who tested positive. Confirmed are those who tested
positive. The USA allowed probable cases to be included along with confirmed
cases as late as April 14.
Add to that the jolts researchers receive. On 17
April, China reported 1290 Feb/March deaths from Wuhan with retrospective
effect. A day earlier New York City reported a decrease of 145 deaths. On 3 April, the French ministry reported
17,827 additional cases and 532 additional deaths from nursing homes. They had
forgotten about nursing homes. With few resources, the solitary researcher somehow
makes the necessary adjustments.
There is always a time lag. A doctor diagnoses a case. He submits the report to the local health
department. The health department must enter the data in the computer. Most of
them don’t work weekends. (A seasoned statistician knows why Monday is the most
fatal day). That data then travels to the state ministry and finally to the
federal ministry where it is aggregated. The ministry then sends it to WHO.
The new cases or new deaths that your TV reported this
morning may have happened any time during the last four weeks.
Finally, for a global effort, the researcher must know
the numbering conventions. The number 9,876,543.21 (comma: UK, US) looks like
9.876.543,21 (full stop in most of Europe), 98,76,543.21 (India, two spaces), 9’876’543.21
(apostrophe: Switzerland) and 987,6543.21 (Mandarin, four spaces). India counts
in lakh (100,000) and crore (10 million). An inexperienced researcher can
easily kill ten times more or fewer Indians.
*****
In short, we need another cross-check to answer the
question. I will do that tomorrow by discussing the notion of ‘excess mortality’.
Ravi
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