Evidence map›Paper›PMID 34002125›Full record

ArticleResults in physics2021

Global transmission dynamic of SIR model in the time of SARS-CoV-2.

Zhao-Wei Tong, Yu-Pei Lv, Rahim Ud Din, Ibrahim Mahariq, Gul Rahmat

Abstract read
In one paragraph

Article in Results in physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Numerical study of a nonlinear COVID-19 pandemic model by finite difference and meshless methods.Partial differential equations in applied mathematics : a spin-off of Applied Mathematics Letters · 2022
    Article
  4. 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

5 authors.

Zhao-Wei TongDepartment of Infectious Diseases, Huzhou Central Hospital, Zhejiang, Huzhou 313000, PR China.
Yu-Pei LvDepartment of Mathematics, Huzhou University, Huzhou 313000, PR China.
Rahim Ud DinDepartment of Mathematics, University of Malakand, Chakdara Dir(L), 18000 Khyber, Pakhtunkhwa, Pakistan.
Ibrahim MahariqCollege of Engineering and Technology, American University of the Middle East, Egaila, Kuwait.
Gul RahmatDepartment of Mathematics, Islamia College University Peshawar, 18000 Khyber, Pakhtunkhwa, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This current work studies a new mathematical model for SARS-CoV-2. We show how immigration, protection, death rate, exposure, cure rate and interaction of infected people with healthy people affect the population. Our model is SIR model, which has three classes including susceptible, infected and recovered respectively. Here, we find the basic reproduction number and local stability through jacobean matrix. Lyapunvo function theory is used to calculate the global stability for the problem under investigation. Also a nonstandard finite difference sachem (NSFDS) is used to simulate the results.

Indexed as

Local and global stabilityNSFDSReproduction numberSARS-CoV-2 model

Identifiers

PMID34002125
PMCPMC8116132

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.