Evidence map›Paper›PMID 33071595›Full record

ReviewAnnual reviews in control2020

Modelling a pandemic with asymptomatic patients, impact of lockdown and herd immunity, with applications to SARS-CoV-2.

Santosh Ansumali, Shaurya Kaushal, Aloke Kumar, Meher K Prakash, M Vidyasagar

Abstract readReview
In one paragraph

Review in Annual reviews in control, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

  1. The theory of epidemics with altruism.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Modelling the first wave of COVID-19 in India.PLoS computational biology · 2022
    Article
  8. Review
  9. Article
  10. ComputingInfectious Disease Modelling · 2022
    Article
  11. Article
  12. Article
  13. Analysis of Second Wave of COVID-19 in Different Countries.Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology · 2021
    Article
  14. Universal Epidemic Curve for COVID-19 and Its Usage for Forecasting.Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology · 2021
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

5 authors.

Santosh AnsumaliJawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, India.
Shaurya KaushalJawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, India.
Aloke KumarIndian Institute of Science, Bangalore, India.
Meher K PrakashJawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, India.
M VidyasagarIndian Institute of Technology Hyderabad India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SARS-CoV-2 is a type of coronavirus that has caused the pandemic known as the Coronavirus Disease of 2019, or COVID-19. In traditional epidemiological models such as SEIR (Susceptible, Exposed, Infected, Removed), the exposed group

Indexed as

COVID-19Herd immunityLockdownLyapunov stabilitySAIR modelSARS-CoV-2

Identifiers

PMID33071595
PMCPMC7546280

What OpenQuestion holds

Textmetadata
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.