Evidence map›Paper›PMID 34580646›Full record

ArticleModeling earth systems and environment2022

A mathematical model to study the COVID-19 pandemic in India.

Agraj Tripathi, Ram Naresh Tripathi, Dileep Sharma

Abstract read
In one paragraph

Article in Modeling earth systems and environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Agraj TripathiDepartment of Basic Science and Humanities, Pranveer Singh Institute of Technology, Kanpur, Uttar Pradesh 209305 India.ORCID 0000-0003-2362-5313
Ram Naresh TripathiDepartment of Mathematics, School of Basic and Applied Sciences, Harcourt Butler Technical University, Kanpur, Uttar Pradesh 208002 India.
Dileep SharmaDepartment of Mathematics, DBS (PG) College, Dehradun, 248001 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, a compartmental model is proposed to study the dynamics of COVID-19 pandemic caused by the coronavirus SARS-CoV-2 and the role of media in controlling this ongoing infection. Model includes implementation of media awareness as a control measure to mitigate the spread of the disease. In the proposed model, we have divided the total human population into four sub-classes, namely susceptibles, asymtomatic infectives, aware susceptibles and symptomatic infectives (or Isolated infectives which are under treatment/hospitalized) incorporating classes representing cumulative density of virus and media alert. The important mathematical features of the model are thoroughly investigated. The endemic equilibrium is found to be locally asymptotically stable as well as non-linearly asymptotically stable with certain conditions. Numerical simulations are also carried out in support of the analytical results and to show the effects of certain key parameters.

Indexed as

CoronavirusImmigrationMediaSimulationStability

Identifiers

PMID34580646
PMCPMC8458050

What OpenQuestion holds

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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.