Hindustan Times (Delhi)

Death rate lower than estimates: Study

- Sanchita Sharma letters@hindustant­imes.com

nNEWDELHI: A new analysis of data from at least 70,000 lab-confirmed cases of coronaviru­s disease (Covid-19) from China puts the death rate at 1.38%, lower than earlier estimates ranging between 2% and 8% but higher than previous pandemics such as H1N1 influenza, which killed around 0.02% of the people infected in 2009-10.

The study, published in The Lancet Infectious Diseases journal on Monday, warned that 50% to 80% of the global population could get infected with Covid-19, and without interventi­ons such as lockdowns and social distancing, the number of sick people needing hospital treatment could overwhelm even the most advanced health care systems. It, however, said that outcomes may change as the pandemic unfolds and evolves.

According to the study, by UK researcher­s from Imperial College London, Queen Mary University, London, and the University of Oxford, the death rates from confirmed Covid-19 cases came to 1.38%, and the overall death rate to 0.66% after adjusting for undiagnose­d cases and population size (not included in earlier studies), according to the analysis of data from 70,117 laboratory-confirmed and clinically diagnosed cases in mainland China, combined with 689 positive cases among people evacuated from Wuhan on repatriati­on flights.

The death rates varied substantia­lly with age, ranging from a low 0.0016% for people up to nine years old to 7.8% for people aged 80 and above. Previous studies have estimated the death rates in people over the age of 80 years to be between 8% and 36%.

While previous estimates of deaths from confirmed cases ranged from 2% to 8%, deaths from overall infections were estimated to be between 0.2% and 1.6%. Since the past estimates were not adjusted for the fact that only people with more severe symptoms are likely to be

The analysis is based on data from at least 70,000 lab-confirmed-cases from coronaviru­s disease (Covid-19) from China

Death rates in confirmed cases, all infections An average of 0.15% of infected people under 60 are estimated to die, while an average of 3.3% of infected people over 60 die. This does not separate out the effect of underlying health conditions, which often correlate with age, and may vary geographic­ally.

All figures % of cases Confirmed cases* All infections#

CHART 1

ALL-AGE AVERAGE CONFIRMED ALL CASES INFECTIONS

Need for hospitalis­ation

Hospitalis­ation rates nearly double from 4.3% in 40-49-year-olds to 8.2% in 50-59-year-olds 0-9 0 % of cases 10-19 <0.1

20-29 1

30-39

40-49

50-59

60-69

70-79 16.6

80+ 18.4 The proportion of all infections that are hospitalis­ed, estimated from a subset of 3,665 cases reported in mainland China up to February 8, 2020, and adjusted for demography and under-ascertainm­ent. UK cases classified as ‘severe’ are assumed to require hospitalis­ation 3.4

4.25

tested, and the people in quarantine following repatriati­on to other countries, the numbers did not reflect the true number of cases across population­s, some experts said.

“Estimated death rates of Covid-19 will vary based on how many infected people are entered into the denominato­r while deaths are in the numerator. While deaths are easier to verify and attribute, the num

70-79

80+

ber of infected cases will vary according to the numbers tested with virus specific tests or identified on clinical criteria. Even if these are very liberally applied, we still may not define the denominato­r precisely as asymptomat­ic or very mild cases may escape detection by either criterion,” said Dr Srinath K Reddy, president, Public Health Foundation of India.

Death on average occurred 17.8 days after getting infected, and hospital discharge happened after 24.7 days, the study found. The proportion of deaths from both diagnosed cases and from milder, unconfirme­d cases was strongly influenced by age.

“Our estimates can be applied to any country to inform decisions around the best containmen­t policies for Covid-19,” said Professor Azra Ghani from Imperial College in a statement.

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