Evidence map›Paper›PMID 34643562›Full record

ArticleThe Indian journal of medical research

Plausibility of a third wave of COVID-19 in India: A mathematical modelling based analysis.

Sandip Mandal, Nimalan Arinaminpathy, Balram Bhargava, Samiran Panda

Open access · diamondAbstract read
In one paragraph

Article in The Indian journal of medical research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. COVID-19 pandemic - Cocktail of variants, a study from Northern India.Journal of family medicine and primary care · 2024
    Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. A probabilistic epidemiological model for infectious diseases: The case of COVID-19 at global-level.Risk analysis : an official publication of the Society for Risk Analysis · 2023
    Article
  9. Article
  10. Delta variant SARS-CoV-2 infections in pediatric cases during the second wave in India.Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi · 2022
    Article
  11. Article
  12. Article
  13. Article
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  15. Review
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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

4 authors at 2 institutions in 2 countries.

Sandip MandalClinical Studies, Projection & Policy Unit, Indian Council of Medical Research, New Delhi, India.
Nimalan ArinaminpathyDepartment of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Balram BhargavaIndian Council of Medical Research, New Delhi, India.
Samiran PandaDivision of Epidemiology and Communicable Diseases, Indian Council of Medical Research, New Delhi; ICMR-National AIDS Research Institute, Pune, India.
Indian Council of Medical Research · INImperial College London · GB

Funding

Medical Research Council MC_PC_19012Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

BACKGROUND &

objectivesIn the context of India's ongoing resurgence of COVID-19 (second wave since mid-February 2021, following the subsiding of the first wave in September 2020), there has been increasing speculation on the possibility of a future third wave of infection, posing a burden on the healthcare system. Using simple mathematical models of the transmission dynamics of SARS-CoV-2, this study examined the conditions under which a serious third wave could occur.

methodsUsing a deterministic, compartmental model of SARS-CoV-2 transmission, four potential mechanisms for a third wave were examined: (i) waning immunity restores previously exposed individuals to a susceptible state, (ii) emergence of a new viral variant that is capable of escaping immunity to previously circulating strains, (iii) emergence of a new viral variant that is more transmissible than the previously circulating strains, and (iv) release of current lockdowns affording fresh opportunities for transmission.

resultsImmune-mediated mechanisms (waning immunity, or viral evolution for immune escape) are unlikely to drive a severe third wave if acting on their own, unless such mechanisms lead to a complete loss of protection among those previously exposed. Likewise, a new, more transmissible variant would have to exceed a high threshold (R INTERPRETATION &

conclusionsThis study demonstrates plausible mechanisms by which a substantial third wave could occur, while also illustrating that it is unlikely for any such resurgence to be as large as the second wave. Model projections are, however, subject to several uncertainties, and it remains important to scale up vaccination coverage to mitigate against any eventuality. Preparedness planning for any potential future wave will benefit by drawing upon the projected numbers based on the present modelling exercise.

Indexed as

COVID-19Communicable Disease ControlHumansModels, TheoreticalSARS-CoV-2VaccinationCOVID-19mathematical modelling –resurgence –SARS-CoV-2third wavetransmissionvariant

Identifiers

PMID34643562
PMCPMC8555606
OpenAlexW3175375974

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.