Evidence map›Paper›PMID 36466051›Full record

ArticleIranian journal of science and technology. Transaction A, Science2022

Dynamical Analysis of COVID-19 Model Incorporating Environmental Factors.

Preety Kumari, Swarn Singh, Harendra Pal Singh

Abstract read
In one paragraph

Article in Iranian journal of science and technology. Transaction A, Science, 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
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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.

Preety KumariFaculty of Mathematical Science, University of Delhi, Delhi, 110007 India.
Swarn SinghSri Venkateswara College, University of Delhi, Delhi, 110021 India.
Harendra Pal SinghCluster Innovation Centre, University of Delhi, Delhi, 110007 India.ORCID 0000-0003-3413-0631

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The continuing coronavirus pandemic has come up with considerable questions in front of the world. Presently, India is among concerned countries in Asia. Even though the recovery rate is more than the death rate, it is affecting human lives and experiencing losses to the market. Several methods were employed to study the spread of novel coronavirus. Mathematical modeling is one of the prominent techniques to evaluate the dynamics of novel coronavirus. In this work, we extend the mathematical model SEIAQRDT by incorporating environmental transmission to analyze the transmission of coronavirus in India. The notable aspect of the model incorporates asymptomatic population, quarantine individuals, and environmental transmission factors. These factors have enormous significance in the ongoing COVID-19 outbreak. The basic reproduction number

Indexed as

AsymptomaticBifurcationCoronavirusEnvironment factorsGlobal stabilityQuarantined

Identifiers

PMID36466051
PMCPMC9702965

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.