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No surge in Covid-19 cases, but vulnerable lag in full vaccination

Omicron is proving to be more resistant to vaccines than its predecessors.

Updated on: Dec 20, 2021, 04:46:00 IST
By , New Delhi
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Over 150 cases of the Omicron variant of the Sars-CoV-2 have been detected in India so far. However, unlike the surge seen in South Africa after detection of the more infectious variant, there is no rapid rise in Omicron cases in India yet. But we have to keep in mind that India’s population is about 20 times that of South Africa. Are there local outbreaks in the country already? More importantly, how protected is India should an outbreak occur? Apart

Apart from transmissibility, Omicron is proving to be more resistant to vaccines than its predecessors. (Representational image) (Sunil Ghosh/HT photo)
Apart from transmissibility, Omicron is proving to be more resistant to vaccines than its predecessors. (Representational image) (Sunil Ghosh/HT photo)

Is the low number of cases because of low testing? Cumulative tests have indeed fallen since the peak of the second wave but have not caused a high positivity rate. Positivity rate averaged 0.59% nationwide in the week ended December 15. The health ministry releases a list of districts with high weekly positivity rates. 25 districts had positivity rate above 5% in the week to December 15. 15 of these were from Arunachal Pradesh, Mizoram, Nagaland and Sikkim, where cases are declining in all districts. Nine districts are from Kerala. In three of them – Pathanamthita, Kannuar and Kottayam – cases have increased in the past fortnight by 2%-10% after declining around 40%-50% the fortnight before. In Kolkata, where positivity rate was 5.9%, cases have declined 22% in the past fortnight.

Second dose coverage is still low in about a third of districts

India is, however, ill-prepared in case there is a surge. Early studies suggest the Omicron variant might be more resistant to vaccines, HT reported on December 12 (https://bit.ly/3GIeNYS). Late last week, the first real-world evidence arrived of how vaccine efficacy against symptomatic Covid-19 all but erodes in case of an infection with the Omicron variant, suggesting that boosters might be needed for those who have received Covishield jabs. This makes for speeding up full vaccination all the more necessary. 36% districts (229 of 628) are still lagging on this metric, with less than 50% adults fully vaccinated. Since official population projections are not available at the district level, HT has used the number of electors in the district at the time of the 2019 Lok Sabha elections as a proxy for the adult population.

A third of 45+ age group, half of rural India not fully vaccinated

Covid-19 vaccinations for those at 45 years and above, who are more vulnerable to severe disease and death, started on April 1, a month before those in the 18-45 years old age group began receiving jabs. Those with co-morbidities in the older age group were being jabbed even before April. Yet, 34% of the 45+ age group is not yet fully vaccinated, according to age-wise vaccination update of the health ministry on December 18. On the other hand, while there is only an eight percentage point difference in first dose coverage between the older and younger age groups, the gap in second dose coverage is wider at 17.2 percentage points. It means the young will also be vulnerable if Omicron proves to be more severe than its predecessors.

The 45+ age group needs full vaccination and possibly boosters because they are vulnerable to severe disease. Rural India, on the other hand, is vulnerable because it lacks health facilities. While scaling up health infrastructure is a time-consuming and expensive exercise, vaccinations, which have to be inevitably given to every person, can be a pre-emptive tool against catastrophes. However, this group is also not sufficiently covered with full vaccination. Only 55% of the population in rural districts is fully vaccinated, compared to 60% in mixed districts, and 73% in urban areas. Districts with the share of rural population below 40% in the 2011 census are considered urban, those with more than 60% rural population are considered rural, and the rest are considered mixed. While rural areas are indeed getting more doses per million population now than urban areas, this reversal has happened only in late October.

Past vaccination rates suggest we can speed up to cover the vulnerable

There is no reason why these vulnerable groups cannot be vaccinated at a faster rate. India administered over 236 million doses in September. In October and November, only 173 and 178 million doses were administered. While the speed in December so far looks to surpass the rate of the past two months – 135 million doses have been administered so far – it will be important to keep this rate up, possibly by reaching out to the elderly, and those in remote and rural areas.

Also read | Omicron could be behind Delhi's Covid cases spike; Feb, March ‘convenient’ for virus: AIIMS professor

 
ABOUT THE AUTHOR
Abhishek Jha

Abhishek Jha is Assistant Editor-Data at Hindustan Times. He uses statistical programming to generate newsworthy insights from large datasets. He is part of the team that produces Number Theory, a daily data story feature of the paper’s print edition. Since March 2024, he has been writing Weather Bee, a weekly column for the Hindustan Times website. He is a chemical engineer by training, who specialises in stories related to weather, climate, and the environment. Jha has been at HT since 2018, where he offers data-driven perspective and analysis on politics, environment, weather, climate, economy and society. His work includes data coverage of elections in India and abroad, including the 2019 and 2024 Lok Sabha elections; the disasters and extreme weather resulting from changing climate, such as floods, droughts, heat waves, cold waves, and dwindling snow cap in the Himalayas; the factors that drive poor air quality in northern India; the changing patterns of land use; the Covid-19 pandemic and its impact on labour market conditions; the changing pattern of consumer spending seen in the new consumer spending surveys; and social norms seen in the surveys such as the National Family Health Survey.

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