Evidence map›Paper›PMID 36438294›Full record

ArticleFrontiers in public health2022

Fractional differential equation modeling of the HBV infection with time delay and logistic proliferation.

Deshun Sun, Jingxiang Liu, Xiuyun Su, Guoxian Pei

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Deshun SunIntelligent Medical Innovation Center, Southern University of Science and Technology Hospital, Shenzhen, China.
Jingxiang LiuSchool of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
Xiuyun SuIntelligent Medical Innovation Center, Southern University of Science and Technology Hospital, Shenzhen, China.
Guoxian PeiIntelligent Medical Innovation Center, Southern University of Science and Technology Hospital, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, a fractional-order differential equation model of HBV infection was proposed with a Caputo derivative, delayed immune response, and logistic proliferation. Initially, infection-free and infection equilibriums and the basic reproduction number were computed. Thereafter, the stability of the two equilibriums was analyzed based on the fractional Routh-Hurwitz stability criterion, and the results indicated that the stability will change if the time delay or fractional order changes. In addition, the sensitivity of the basic reproduction number was analyzed to find out the most sensitive parameter. Lastly, the theoretical analysis was verified by numerical simulations. The results showed that the time delay of immune response and fractional order can significantly affect the dynamic behavior in the HBV infection process. Therefore, it is necessary to consider time delay and fractional order in modeling HBV infection and studying its dynamics.

Indexed as

Hepatitis B virusBasic Reproduction NumberCell Proliferationfractional orderHBV modelHopf bifurcationstabilitytime delay

Identifiers

PMID36438294
PMCPMC9692119

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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.