Evidence map›Paper›PMID 38935766›Full record

ArticlePloS one2024

Global dynamics and computational modeling for analyzing and controlling Hepatitis B: A novel epidemic approach.

Muhammad Farhan, Zahir Shah, Zhi Ling, Kamal Shah, Thabet Abdeljawad, Saeed Islam, Hakim A L Garalleh

Erratum issuedAbstract read
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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Muhammad FarhanSchool of Mathematical Science, Yangzhou University, Yangzhou, China.ORCID 0000-0002-2235-0015
Zahir ShahDepartment of Mathematical Sciences, University of Lakki Marwat, Lakki Marwat, KPK, Pakistan.ORCID 0000-0002-5539-4225
Zhi LingSchool of Mathematical Science, Yangzhou University, Yangzhou, China.
Kamal ShahDepartment of Mathematics and Sciences, Prince Sultan University, Riyadh, Saudi Arabia.
Thabet AbdeljawadDepartment of Mathematics and Sciences, Prince Sultan University, Riyadh, Saudi Arabia.
Saeed IslamDepartment of Mathematics, Abdul Wali Khan University Mardan, Mardan, Khyber Pakhtunkhwa, Pakistan.
Hakim A L GarallehDepartment of Mathematical Science, College of Engineering, University of Business and Technology, Jeddah, Saudi Arabia.ORCID 0000-0003-3917-2339

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis B virus (HBV) infection is a global public health issue. We offer a comprehensive analysis of the dynamics of HBV, which can be successfully controlled with vaccine and treatment. Hepatitis B virus (HBV) causes a significantly more severe and protracted disease compared to hepatitis A. While it initially presents as an acute disease, in approximately 5 to 10% of cases, it can develop into a chronic disease that causes permanent damage to the liver. The hepatitis B virus can remain active outside the body for at least seven days. If the virus penetrates an individual's body without immunization, it may still result in infection. Upon exposure to HBV, the symptoms often last for a duration ranging from 10 days to 6 months. In this study, we developed a new model for Hepatitis B Virus (HBV) that includes asymptomatic carriers, vaccination, and treatment classes to gain a comprehensive knowledge of HBV dynamics. The basic reproduction number [Formula: see text] is calculated to identify future recurrence. The local and global stabilities of the proposed model are evaluated for values of [Formula: see text] that are both below and above 1. The Lyapunov function is employed to ensure the global stability of the HBV model. Further, the existence and uniqueness of the proposed model are demonstrated. To look at the solution of the proposed model graphically, we used a useful numerical strategy, such as the non-standard finite difference method, to obtain more thorough numerical findings for the parameters that have a significant impact on disease elimination. In addition, the study of treatment class in the population, we may assess the effectiveness of alternative medicines to treat infected populations can be determined. Numerical simulations and graphical representations are employed to illustrate the implications of our theoretical conclusions.

Indexed as

Computer SimulationHepatitis BHepatitis B virusBasic Reproduction NumberEpidemicsHepatitis B VaccinesHumansVaccinationHepatitis B Vaccines

Identifiers

PMID38935766
PMCPMC11210885

What OpenQuestion holds

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Registered trials

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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.