Evidence map›Paper›PMID 33269091›Full record

ArticleAging and disease2020

Of Cross-immunity, Herd Immunity and Country-specific Plans: Experiences from COVID-19 in India.

Sankha Shubhra Chakrabarti, Upinder Kaur, Anup Singh, Suddhachitta Chakrabarti, Manigreeva Krishnatreya, Bimal Kumar Agrawal, Amit Mittal, Amit Singh, Rahul Khanna, Indrajeet Singh Gambhir and 2 more

Open access · goldAbstract read
In one paragraph

Article in Aging and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Sankha Shubhra Chakrabarti1Department of Geriatric Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
Upinder Kaur2Department of Pharmacology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
Anup Singh3Department of Geriatric Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
Suddhachitta Chakrabarti4Health Department, Kolkata Municipal Corporation, India.
Manigreeva Krishnatreya5Department of Cancer Registry and Epidemiology, Dr. B Borooah Cancer Institute, Guwahati, India.
Bimal Kumar Agrawal6Department of General Medicine, Maharishi Markandeshwar (deemed to be) University, Mullana, India.
Amit Mittal7Department of Radiodiagnosis, Maharishi Markandeshwar (deemed to be) University, Mullana, India.
Amit Singh8Department of Pharmacology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
Rahul Khanna9Department of General Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
Indrajeet Singh Gambhir10Department of Geriatric Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India.
Kunlin Jin11Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA.
Sasanka Chakrabarti12Department of Biochemistry and Central Research Cell, Maharishi Markandeshwar (deemed to be) University, Mullana, India.
Banaras Hindu University · INInstitute of Medical Sciences · INMaharishi Markandeshwar University, Mullana · INUniversity of North Texas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

India has witnessed a high number of COVID-19 cases, but mortality has been quite low, and most cases have been asymptomatic or mild. In early April, we had hypothesized a low COVID-19 mortality in India, based on the concept of cross-immunity. The presence of cross-immunity is presumed to lead to a milder course of disease and allow the time necessary for the development of adaptive immunity by the body to eliminate the virus. Evidence supporting our hypothesis has started showing up. Multiple studies have shown the generation of different T cell subsets and B cells responding to epitopes of viral proteins, especially of the spike protein, as a part of adaptive immunity against SARS-CoV-2. Cross-reactive T-cells have been demonstrated in patients who have been previously exposed to endemic coronaviruses. The interplay of cross-immunity and herd immunity is apparent in the COVID-19 scenario in India from the presence of a large number of asymptomatic or mild cases, a low infection-fatality ratio and a generally flat curve of percentage positivity of cases with respect to total testing, both in periods of strict lock-down and step-wise unlocking. It seems that cross-immunity resulted in faster generation of herd immunity. Although the initial restrictive measures such as lockdown prevented the rapid spread of the outbreak, further extension of such measures and overly expensive ones such as enhanced testing in India will result in a huge burden on the health economics as well as the society. Hence, we propose a restructuring of the health services and approach to COVID-19. The restructured health services should move away from indiscriminate testing, isolation and quarantine, and instead, the emphasis should be on improving facilities for testing and management of only critical COVID cases and the replacement of complete lockdowns by the selective isolation and quarantine of susceptible persons such as the aged and those with co-morbidities. In the process of describing India-specific plans, we emphasize why the development of country-specific plans for tackling epidemics is important, instead of adopting a "one policy fits all" approach.

Indexed as

hygiene hypothesisintegrationlockdownrestructuringT cells

Identifiers

PMID33269091
PMCPMC7673860
OpenAlexW3092675920

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.