Evidence map›Paper›PMID 33424141›Full record

ArticleChaos, solitons, and fractals2021

COVID-19: Analytic results for a modified SEIR model and comparison of different intervention strategies.

Arghya Das, Abhishek Dhar, Srashti Goyal, Anupam Kundu, Saurav Pandey

Abstract read
In one paragraph

Article in Chaos, solitons, and fractals, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  10. Evaluating Effects of Dynamic Interventions to Control COVID-19 Pandemic: A Case Study of Guangdong, China.International journal of environmental research and public health · 2022
    Article
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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

5 authors.

Arghya DasInternational Center for Theoretical Sciences, Tata Institute of Fundamental Research, Bangalore 560089, India.
Abhishek DharInternational Center for Theoretical Sciences, Tata Institute of Fundamental Research, Bangalore 560089, India.
Srashti GoyalInternational Center for Theoretical Sciences, Tata Institute of Fundamental Research, Bangalore 560089, India.
Anupam KunduInternational Center for Theoretical Sciences, Tata Institute of Fundamental Research, Bangalore 560089, India.
Saurav PandeyInternational Center for Theoretical Sciences, Tata Institute of Fundamental Research, Bangalore 560089, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Susceptible-Exposed-Infected-Recovered (SEIR) epidemiological model is one of the standard models of disease spreading. Here we analyse an extended SEIR model that accounts for asymptomatic carriers, believed to play an important role in COVID-19 transmission. For this model we derive a number of analytic results for important quantities such as the peak number of infections, the time taken to reach the peak and the size of the final affected population. We also propose an accurate way of specifying initial conditions for the numerics (from insufficient data) using the fact that the early time exponential growth is well-described by the dominant eigenvector of the linearized equations. Secondly we explore the effect of different intervention strategies such as social distancing (SD) and testing-quarantining (TQ). The two intervention strategies (SD and TQ) try to reduce the disease reproductive number,

Indexed as

Compartmentalised modelCovid-19MitigationSEIRTesting-Quarantining

Identifiers

PMID33424141
PMCPMC7785284

What OpenQuestion holds

Textmetadata
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Registered trials

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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.