Saturday, February 27, 2021

Corona Daily 169: Epidemiological Whodunnit


SARS-CoV-2 presents several mysteries. A disease of such scale and severity is expected to affect the poorest countries most. They have the worst doctor-patient ratios, poor public health infrastructure, high pollution levels. What has happened during the pandemic has baffled even the experts.

North America with 7% of the global population accounts for 30% of the cases and deaths. Same with Europe. Asia with 60% of the world population suffered only 15% deaths, and the African continent less than 4%. Dharavi, Asia’s largest slum, experienced only one tenth of the expected deaths. It hasn’t had any since December. On the other hand, Los Angeles has no spare ICU bed.

Malaria, Typhoid, Diphtheria and AIDS, as a rule, hit the poorest countries. Deaths per million is possibly the best measure for comparison. The top countries include Belgium, UK, Italy, Portugal and USA, each of them having lost more than 1500 people per million. India’s death rate is ten times lower. Nigeria’s is one hundredth that of the USA.

Some diseases are called rich man’s diseases. Covid is not that, because lots of poor people in rich countries have died. But I won’t hesitate to call it a ‘rich nation’s disease’.

What is the cause of this mystery? This week Siddhartha Mukherjee, in an excellent article in the New Yorker discusses this. Mukherjee is the Pulitzer winner for his book “The emperor of all maladies: a biography of cancer.” I will cover the key points from his article over today and tomorrow.

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First factor is the median age. Please note all the factors are hypotheses at this stage. They suggest rather than prove anything.

In India, the median age is 28, in USA 38, UK 40. Italy at 47, Germany 48, and Japan 48 are some of the oldest countries. Nigeria’s median age is 18. Most African countries are very young.

Virologists and number crunchers have stated a rule of thumb: After thirty, the chance of dying with covid-19 doubles every eight years. (No need to apply the rule to yourself, can be depressing). If true, it is only logical that countries with a high number of elderly residents will suffer the most covid casualties. Good so far. However, questions remain. For example, Mexico’s median age is like India’s. But it has lost ten times more people to covid.

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The second possible factor is the family composition. Who lives with whom and the human interaction. Usually, the richer the country, smaller is the size of the household. In UK, the average household size is 2.3, in Africa’s Benin 5.2. However, in the context of the pandemic, this statistic can be deceptive. In the UK and USA, a large number of elderly people live in long-term nursing homes. In fact, around one third of the covid deaths in the USA happened in care homes. The question then is whether an Indian or African living in a three-generation household is more at risk than the 80+ Americans or British living together in a nursing home?

Covid vulnerabilities are of two types: intrinsic (age, obesity), or extrinsic (household size, medical professional). In the morbid trade-off question, one wonders if it is better to be young in a crowded house, or old in a large house?

The statistical models base their forecasts by answering such questions. Epidemiologists were brilliant in forecasting deaths in the rich world. In the USA, the actuals almost match the projections. But the models went abysmally wrong in the poor world. As per the model, Pakistan was expected to have 650,000 deaths so far, they have had 12,000. Cote d’Ivoire lost fewer than 200, instead of the projected 52,000. Epidemiologists, last March, were certain Nigeria would suffer 418,000 deaths in a year’s time. Nigeria lost 1300, and most cases are mild.

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(Continued tomorrow)

Ravi

  

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