Evidence map›Paper›PMID 33558795›Full record

ArticleChaos, solitons, and fractals2021

Mathematical modeling and analysis for controlling the spread of infectious diseases.

Swati Tyagi, Subash C Martha, Syed Abbas, Amar Debbouche

Abstract read
In one paragraph

Article in Chaos, solitons, and fractals, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

4 authors.

Swati TyagiDepartment of Mathematics, Chandigarh University, Chandigarh-140413, India.
Subash C MarthaDepartment of Mathematics, Indian Institute of Technology Ropar, Punjab-140001, India.
Syed AbbasSchool of Basic Sciences, Indian Institute of Technology Mandi, H.P.-175005, India.
Amar DebboucheDepartment of Mathematics, Guelma University, Guelma 24000, Algeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we present and discuss the approaches, that are used for modeling and surveillance of dynamics of infectious diseases by considering the early stage asymptomatic and later stage symptomatic infections. We highlight the conceptual ideas and mathematical tools needed for such infectious disease modeling. We compute the basic reproduction number of the proposed model and investigate the qualitative behaviours of the infectious disease model such as, local and global stability of equilibria for the non-delayed as well as delayed system. At the end, we perform numerical simulations to validate the effectiveness of the derived results.

Indexed as

34D2335B3237B2593A3097M60Basic reproduction numberHopf BifurcationInfectious diseasesLyapunov functionMathematical modelStability analysisTime delay

Identifiers

PMID33558795
PMCPMC7857024

What OpenQuestion holds

Textmetadata
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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.