Death rates vary widely across states; testing could be the key
Rema.Nagarajan@timesgroup.com 11.04.2020
There is wide variation in fatality rates (deaths as percentage of cases) among Covid-19 patients between states. As the country recorded more than 100 casualties as of Friday morning, Madhya Pradesh (7.7%) was at the high end and Kerala, which recorded the first Covid-19 case in India, had reported just 0.6% of deaths.
Maharashtra, with the largest number of cases, is number four on the list. Tamil Nadu and Delhi, despite having the second and third highest number of cases, have among the lowest mortality rates of 0.96% and 1.67% respectively.
What explains this wide variation? There are no definitive answers, but public health and epidemiology experts TOI spoke to have some suggestions. They pointed out that states testing more widely would have lower mortality rates as they would pick up even mild or asymptomatic cases. This would increase the denominator (the number of cases) and hence reduce the calculated value of the death rate, they pointed out.
Dr Anant Bhan, a researcher on global health, pointed out that if only severe cases or those reporting with serious symptoms to hospitals were being tested, the case fatality rate would be high.
“The data seems to indicate that in the initial stages, the death rates are higher. But once they get the hang of how to manage serious cases, then probably the death rate falls. Or maybe reports of the deaths make more patients with mild symptoms rush to the hospital and so the death rate falls,” said Dr N Devasadan, former director of Institute of Public Health, Bangalore.
Rema.Nagarajan@timesgroup.com 11.04.2020
There is wide variation in fatality rates (deaths as percentage of cases) among Covid-19 patients between states. As the country recorded more than 100 casualties as of Friday morning, Madhya Pradesh (7.7%) was at the high end and Kerala, which recorded the first Covid-19 case in India, had reported just 0.6% of deaths.
Maharashtra, with the largest number of cases, is number four on the list. Tamil Nadu and Delhi, despite having the second and third highest number of cases, have among the lowest mortality rates of 0.96% and 1.67% respectively.
What explains this wide variation? There are no definitive answers, but public health and epidemiology experts TOI spoke to have some suggestions. They pointed out that states testing more widely would have lower mortality rates as they would pick up even mild or asymptomatic cases. This would increase the denominator (the number of cases) and hence reduce the calculated value of the death rate, they pointed out.
Dr Anant Bhan, a researcher on global health, pointed out that if only severe cases or those reporting with serious symptoms to hospitals were being tested, the case fatality rate would be high.
“The data seems to indicate that in the initial stages, the death rates are higher. But once they get the hang of how to manage serious cases, then probably the death rate falls. Or maybe reports of the deaths make more patients with mild symptoms rush to the hospital and so the death rate falls,” said Dr N Devasadan, former director of Institute of Public Health, Bangalore.
‘Too early to speculate difference in death rates’
Devadasan added that it was not possible to make any definite statements without more data, especially clinical data.
Prof Rakhal Gaitonde, a public health policy expert from the Sree Chitra Tirunal Institute for Medical Sciences and Technology, said the age structure of those being diagnosed could be a factor. “In Kerala, for example, a large proportion are young adults (travellers/workers in other countries) and hence the death rate among them will tend to be very low,” said Dr Gaitonde, adding that it was too early to speculate about the difference in death rates given the wide range of testing strategies, testing coverage and age structures in different states.
Dr Giridhar Babu, epidemiologist with the Public Health Foundation of India, also felt that unreported cases would have the effect of decreasing the denominator (cases) and inflating the case fatality rate above its real value. He also cautioned that it was important to distinguish between deaths of those who test positive for Covid. “Dying with the disease (association) is not the same as dying from the disease (causation),” he pointed out.
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