Evidence map›Paper›PMID 37033412›Full record

ArticleInformatics in medicine unlocked2023

Mathematical modelling and analysis of COVID-19 and tuberculosis transmission dynamics.

Ram Singh, Attiq Ul Rehman, Tanveer Ahmed, Khalil Ahmad, Shubham Mahajan, Amit Kant Pandit, Laith Abualigah, Amir H Gandomi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Informatics in medicine unlocked, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

8 authors.

Ram SinghDepartment of Mathematical Sciences, BGSB University, Rajouri, 185234, India.
Attiq Ul RehmanDepartment of Mathematical Sciences, BGSB University, Rajouri, 185234, India.
Tanveer AhmedDepartment of Mathematics, Al-Falah University, Faridabad, India.
Khalil AhmadDepartment of Mathematics, Al-Falah University, Faridabad, India.
Shubham MahajanAjeenkya D Y Patil University, Pune, Maharashtra, 412105, India.
Amit Kant PanditSchool of Electronic and Communication, Shri Mata Vaishno Devi University, Katra, 182320, India.
Laith AbualigahComputer Science Department, Prince Hussein Bin Abdullah Faculty for Information Technology, Al al-Bayt University, Mafraq 25113, Jordan.
Amir H GandomiFaculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, 2007, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, a mathematical model for assessing the impact of COVID-19 on tuberculosis disease is proposed and analysed. There are pieces of evidence that patients with Tuberculosis (TB) have more chances of developing the SARS-CoV-2 infection. The mathematical model is qualitatively and quantitatively analysed by using the theory of stability analysis. The dynamic system shows endemic equilibrium point which is stable when

Indexed as

BifurcationCOVID-19ModellingOptimal solutionSensitivity analysis

Identifiers

PMID37033412
PMCPMC10065048

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.