Evidence map›Paper›PMID 33500125›Full record

ArticleISA transactions2022

Effectiveness of lock down to curtail the spread of corona virus: A mathematical model.

Harendra Verma, Vishnu Narayan Mishra, Pankaj Mathur

Open access · greenAbstract read
In one paragraph

Article in ISA transactions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Harendra VermaDepartment of Mathematics and Astronomy, University of Lucknow, Lucknow, Uttar Pradesh 226007, India. Electronic address: hkvmathslkouniv@yahoo.com.
Vishnu Narayan MishraDepartment of Mathematics, Indira Gandhi National Tribal University, Lalpur, Amarkantak, Anuppur, Madhya Pradesh 484887, India. Electronic address: vishnunarayanmishra@gmail.com.
Pankaj MathurDepartment of Mathematics and Astronomy, University of Lucknow, Lucknow, Uttar Pradesh 226007, India. Electronic address: pankaj_mathur14@yahoo.co.in.
University of Lucknow · INIndira Gandhi National Tribal University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we have considered a mathematical model that deals with the effectiveness of the measures that may be helpful for reducing the spread of the COVID-19 virus in the society. Here we have illustrated the importance of lock down in controlling and maintaining the spread of the COVID-19 virus. The impact of the virus on the susceptible population has been considered in the model. Also, we have taken into account the susceptible population, which by taking preventive measures viz., by having strong immunity, maintaining social distancing, wearing PPE kits and masks etc., is able to reduce the possibility of getting infected from the virus. Local as well as global stability of the equilibrium points of the model have been studied using Lyapunov function and the geometrical approach techniques. Basic reproduction number has also been obtained by using the next generation matrix. To show the effectiveness of the model, different cases obtained by varying the parameters involved in the model have been considered. A comparison between the actual number of infected cases in India and that obtained by the proposed model, showing the effectiveness of the proposed model, has also been carried out.

Indexed as

COVID-19Basic Reproduction NumberCommunicable Disease ControlHumansModels, TheoreticalSARS-CoV-2Basic reproduction numberLyapunov functionNext generation matrixRouth–Hurwitz criterion

Identifiers

PMID33500125
PMCPMC7816570
OpenAlexW3125375655

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.