Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Libin Rong"'
Publikováno v:
AIMS Mathematics, Vol 9, Iss 6, Pp 16280-16296 (2024)
Recent studies have demonstrated the superiority of cell-to-cell transmission over cell-free virus infection, and highlighted the role of inflammatory cytokines in enhancing viral infection. To investigate their impacts on viral infection dynamics, w
Externí odkaz:
https://doaj.org/article/6b5f5f1554ea497e8ecfd135e9587661
Publikováno v:
Healthcare Analytics, Vol 5, Iss , Pp 100337- (2024)
Understanding population migration is essential for controlling highly infectious diseases. This paper studies the global dynamics of an infectious disease epidemic model incorporating population migration and a stochastic transmission rate. Our find
Externí odkaz:
https://doaj.org/article/c9fc7b70473d4281b05dd5948d31bfb9
Autor:
Zhen Wang, Hongkui Li, Yuhan Li, Zhuanli Wu, Hui Ai, Ming Zhang, Libin Rong, Michael L. Blinov, Qi Tong, Litao Liu, Honglei Sun, Juan Pu, Wenhai Feng, Jinhua Liu, Yipeng Sun
Publikováno v:
Emerging Microbes and Infections, Vol 12, Iss 1 (2023)
ABSTRACTLive poultry markets (LPMs) are regarded as hubs for avian influenza virus (AIV) transmission in poultry and are a major risk factor in human AIV infections. We performed an AIV surveillance study at a wholesale LPM, where different poultry s
Externí odkaz:
https://doaj.org/article/3abf9646facf4cf1bb94d2df32fcbdec
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 8, Pp 8452-8478 (2022)
In this paper, an insect-parasite-host model with logistic growth of triatomine bugs is formulated to study the transmission between hosts and vectors of the Chagas disease by using dynamical system approach. We derive the basic reproduction numbers
Externí odkaz:
https://doaj.org/article/e27f55dfdac64372801eb04e0e39e88b
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 2, p e1010914 (2023)
Environmentally induced or epigenetic-related beta-cell dysfunction and insulin resistance play a critical role in the progression to diabetes. We developed a mathematical modeling framework capable of studying the progression to diabetes incorporati
Externí odkaz:
https://doaj.org/article/fa9276f3a5b4408bbdac454141eaa663
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 2, Pp 1174-1194 (2022)
Drug-resistant HIV-1 has caused a growing concern in clinic and public health. Although combination antiretroviral therapy can contribute massively to the suppression of viral loads in patients with HIV-1, it cannot lead to viral eradication. Continu
Externí odkaz:
https://doaj.org/article/c6d7e81b5f3645dfb502ab5b7c4112ee
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
Mathematical modeling has provided quantitative information consistent with experimental data, greatly improving our understanding of the progression of type 1 and type 2 diabetes. However, diabetes is a complex metabolic disease and has been found t
Externí odkaz:
https://doaj.org/article/5c01f339195043eab723b1fb27e7559b
Publikováno v:
Mathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 5409-5426 (2021)
After a major outbreak of the coronavirus disease (COVID-19) starting in late December 2019, there were no new cases reported in mainland China for the first time on March 18, 2020, and no new cases reported in Hong Kong Special Administrative Region
Externí odkaz:
https://doaj.org/article/e1b70ba4133a45678610ea065dee1195
An economic and disease transmission model of human papillomavirus and oropharyngeal cancer in Texas
Autor:
Chengxue Zhong, Li Xu, Ho-Lan Peng, Samantha Tam, Kristina R. Dahlstrom, Chi-Fang Wu, Shuangshuang Fu, Wenyaw Chan, Erich M. Sturgis, Lois M. Ramondetta, Libin Rong, David R. Lairson, Hongyu Miao
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
Abstract In 2017, 46,157 and 3,127 new oropharyngeal cancer (OPC) cases were reported in the U.S. and Texas, respectively. About 70% of OPC were attributed to human papillomavirus (HPV). However, only 51% of U.S. and 43.5% of Texas adolescents have c
Externí odkaz:
https://doaj.org/article/fe434b42aec24e479eb1d47ba1fcbaa3
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 4, Pp 2792-2804 (2020)
The novel Coronavirus (COVID-19) is spreading and has caused a large-scale infection in China since December 2019. This has led to a significant impact on the lives and economy in China and other countries. Here we develop a discrete-time stochastic
Externí odkaz:
https://doaj.org/article/3fc29ea43f05466fafffc4559667cbbe