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具有季节性的寨卡病毒病模型中的阈值动态。

Threshold Dynamics in a Model for Zika Virus Disease with Seasonality.

机构信息

Bolyai Institute, University of Szeged, Aradi vértanúk tere 1., Szeged, 6720, Hungary.

Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, 35516, Egypt.

出版信息

Bull Math Biol. 2021 Feb 17;83(4):27. doi: 10.1007/s11538-020-00844-6.

DOI:10.1007/s11538-020-00844-6
PMID:33594490
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7886769/
Abstract

We present a compartmental population model for the spread of Zika virus disease including sexual and vectorial transmission as well as asymptomatic carriers. We apply a non-autonomous model with time-dependent mosquito birth, death and biting rates to integrate the impact of the periodicity of weather on the spread of Zika. We define the basic reproduction number [Formula: see text] as the spectral radius of a linear integral operator and show that the global dynamics is determined by this threshold parameter: If [Formula: see text] then the disease-free periodic solution is globally asymptotically stable, while if [Formula: see text] then the disease persists. We show numerical examples to study what kind of parameter changes might lead to a periodic recurrence of Zika.

摘要

我们提出了一个关于寨卡病毒病传播的房室人群模型,包括性传播和媒介传播以及无症状携带者。我们应用了一个非自治模型,其中蚊子的出生、死亡和叮咬率随时间变化,以整合天气周期性对寨卡传播的影响。我们将基本繁殖数 [Formula: see text] 定义为线性积分算子的谱半径,并表明全局动力学由这个阈值参数决定:如果 [Formula: see text],则无病周期解全局渐近稳定,而如果 [Formula: see text],则疾病持续存在。我们展示了数值示例,以研究什么样的参数变化可能导致寨卡病毒的周期性复发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/c227a6620912/11538_2020_844_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/a80110e2a32d/11538_2020_844_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/2d92775270df/11538_2020_844_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/35782a88d663/11538_2020_844_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/ed454d7fad31/11538_2020_844_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/20a8110aff19/11538_2020_844_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/659dcfc9e78e/11538_2020_844_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/616274e128b2/11538_2020_844_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/c227a6620912/11538_2020_844_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/a80110e2a32d/11538_2020_844_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/2d92775270df/11538_2020_844_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/35782a88d663/11538_2020_844_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/ed454d7fad31/11538_2020_844_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/20a8110aff19/11538_2020_844_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/659dcfc9e78e/11538_2020_844_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/616274e128b2/11538_2020_844_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797d/7886769/c227a6620912/11538_2020_844_Fig8_HTML.jpg

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本文引用的文献

1
Impact of weather seasonality and sexual transmission on the spread of Zika fever.天气季节性和性传播对寨卡热传播的影响。
Sci Rep. 2019 Nov 19;9(1):17055. doi: 10.1038/s41598-019-53062-z.
2
Modeling the Spread of Zika Virus in a Stage-Structured Population: Effect of Sexual Transmission.建立阶段结构人群中寨卡病毒传播模型:性传播的作用。
Bull Math Biol. 2018 Nov;80(11):3038-3067. doi: 10.1007/s11538-018-0510-7. Epub 2018 Sep 18.
3
A mumps model with seasonality in China.中国一个具有季节性的腮腺炎模型。
具有多种感染途径的 Zika 病毒传播动力学及在巴西的案例研究。
Sci Rep. 2024 Mar 28;14(1):7424. doi: 10.1038/s41598-024-58025-7.
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Some models for epidemics of vector-transmitted diseases.一些媒介传播疾病流行的模型。
Infect Dis Model. 2016 Aug 30;1(1):79-87. doi: 10.1016/j.idm.2016.08.001. eCollection 2016 Oct.
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A mathematical model of malaria transmission in a periodic environment.周期性环境中疟疾传播的数学模型。
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Zika Virus Shedding in Semen of Symptomatic Infected Men.寨卡病毒在有症状感染者精液中的排出。
N Engl J Med. 2018 Apr 12;378(15):1377-1385. doi: 10.1056/NEJMoa1711038.
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Virus Res. 2018 Aug 2;254:1-9. doi: 10.1016/j.virusres.2017.07.011. Epub 2017 Jul 11.
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Detecting the impact of temperature on transmission of Zika, dengue, and chikungunya using mechanistic models.使用机理模型检测温度对寨卡病毒、登革热病毒和基孔肯雅病毒传播的影响。
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Global risk model for vector-borne transmission of Zika virus reveals the role of El Niño 2015.全球寨卡病毒媒介传播风险模型揭示了 2015 年厄尔尼诺现象的作用。
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