Evidence map›Paper›PMID 33437896›Full record

ArticleInfectious Disease Modelling2021

A SIQ mathematical model on COVID-19 investigating the lockdown effect.

Archana Singh Bhadauria, Rachana Pathak, Manisha Chaudhary

Open access · goldAbstract read
In one paragraph

Article in Infectious Disease Modelling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Risk Perception Influence on Vaccination Program on COVID-19 in Chile: A Mathematical Model.International journal of environmental research and public health · 2022
    Article
  7. Impact of Infective Immigrants on COVID-19 Dynamics.Mathematical & computational applications · 2022
    Article
  8. Article
  9. 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

3 authors at 2 institutions in 1 country.

Archana Singh BhadauriaDepartment of Mathematics and Statistics, Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur, U.P, India.
Rachana PathakDepartment of Applied Science and Humanities(Mathematics), Faculty of Engineering & Technology, University of Lucknow, Lucknow, U.P, India.
Manisha ChaudharyDepartment of Applied Science, Madhav Institute of Technology and Science, Gwalior, M.P, India.
Deen Dayal Upadhyaya Gorakhpur University · INUniversity of Lucknow · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research paper aims at studying the impact of lockdown on the dynamics of novel Corona Virus Disease (COVID-19) emerged in Wuhan city of China in December 2019. Perceiving the pandemic situation throughout the world, Government of India restricted international passenger traffic through land check post (Liang, 2020) and imposed complete lockdown in the country on 24 March 2020. To study the impact of lockdown on disease dynamics we consider a three-dimensional mathematical model using nonlinear ordinary differential equations. The proposed model has been studied using stability theory of nonlinear ordinary differential equations. Basic reproduction ratio is computed and significant parameters responsible to keep basic reproduction ratio less than one are identified. The study reveals that disease vanishes from the system only if complete lockdown is imposed otherwise disease will always persist in the population. However, disease can be kept under control by implementing contact tracing and quarantine measures as well along with lockdown if lockdown is imposed partially.

Indexed as

34D34H90A92BPersistenceSensitivity analysisStabilitySystem

Identifiers

PMID33437896
PMCPMC7789846
OpenAlexW3119931861

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.