Saturday, 4 April 2020

At Last a Candle in the Darkness


by Les May

A FEW days ago I heard an assertion by Tory MP Damian Green that China needed to be 'brought to account' about its handling of the Covid19 outbreak.


I would not want to live under the Chinese system of surveillance and make absolutely no apologies for it, but I think it is important to separate our opinion of the political system from how we think and act about the Covid19 pandemic.

If people want to criticise the figures coming out of China they should produce the evidence that they are untrue.  There are well understood ways of doing this in a procedure called 'forensic economics'.  It has been used to show that stock (share) options which are based upon how the business performs over a period were being backdated so that those receiving the options benefited from the fraud.  It has also been used to show that 'spread betting' on baseball games had all the hallmarks of being rigged by bribing players to play less well in some games. It is up to the people who want to say the Chinese figures are phony to do the work needed to demonstrate it.

There are an abundance of data for the numbers of infections and deaths in the different provinces of China for such an investigation.  Should we not be at least equally sceptical about the single figures for testing in the USA which Trump produces at every news conference?

China has been criticised for not including cases of Covid19 when the person shows no symptoms but shows as infected when tested.  The WHO says they should be and China has had to revise its figures to reflect this.  But look at the situation in the UK.  Using the figures released recently about one in five of the people who are tested are found to be infected with the virus.  This is the number which goes into the published figures.  But what about the people who show mild symptoms?  These people are told to quarantine themselves for 14 days along with anyone else in their family.

Crucially no one is officially collecting figures for these people nor are they being tested.  As a result we are underestimating the true number of infections in the UK and we do not know how much.  In addition it is now known that the first death occurred on 28 February not 5 March as originally declared. France has also had to make an amendment to its figures.  Admitting such an error does not mean that from now on we have to doubt everything the UK or French government says about the scale of the infection.   So why single out China?

Yesterday in what Matt Hancock had to say there was a tiny glimmer of hope that the fog around the true number of people in the UK who are or who have been infected with the virus may begin to clear.

Hancock made a brief mention of an accurate test devised at Porton Down which detects anti-bodies in a person’s blood if they have been infected with the virus in the past and the intention to undertake ‘surveillance testing’.   This means testing a random sample of the population, i.e. one that is not biased with respect sex, age, ethnic origin, location etc. From the results of such testing it is possible to draw inferences about what proportion of the population has been infected.


As it is an estimate based upon a sample of the whole population it will be subject to a small amount of error, though the larger the sample the smaller the error. Such estimates are normally published together with a ‘confidence interval’ or ‘credible interval’ which can be taken to mean that the true value for the proportion of the population infected can be expected to lie within this interval (range).

If the sample is ‘stratified’ it is possible to make similar estimates for different age groups, either sex, ethnic origin, occupation etc.

Ideally such a test should be administered a month after a person has recovered from the infection.  If anti-bodies are still present it means that immunity to further infection is long lasting.  This is an important criterion if a population is to develop ‘herd immunity’ and for the development of a vaccine.


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