Zobrazeno 1 - 10
of 242
pro vyhledávání: '"Zhilan Feng"'
Publikováno v:
Epidemics, Vol 39, Iss , Pp 100583- (2022)
SARS-CoV-2, the causative agent of COVID-19, has caused devastating health and economic impacts around the globe since its appearance in late 2019. The advent of effective vaccines leads to open questions on how best to vaccinate the population. To a
Externí odkaz:
https://doaj.org/article/63f18f62f83e49e5bd4453c1136438fc
Publikováno v:
Royal Society Open Science, Vol 8, Iss 11 (2021)
We consider a model that distinguishes susceptible; infected, but not yet infectious; pre-symptomatic, symptomatic, asymptomatic, and hospitalized infectious; recovered and dead members of two groups: healthcare workers (HCW) and members of the commu
Externí odkaz:
https://doaj.org/article/1750b3563927406db92eb01141701ee5
Publikováno v:
International Journal of Strategic Property Management, Vol 25, Iss 4, Pp 316–331-316–331 (2021)
This paper considers the aggregate profitability performance of the REIT industry. The aggregate performance depends on the underlying microeconomic dynamics within an industry – the growth of individual REITs (the within effect), the reallocation
Externí odkaz:
https://doaj.org/article/51d6bcf9c4894c1aaf75fdaa477b5a4e
Publikováno v:
Mathematical Biosciences and Engineering, Vol 16, Iss 5, Pp 3936-3946 (2019)
In this paper, the SEIR model is generalized by introducing an asymptomatic class to quantify the influence of wearing N95 facemasks in reducing the spread of influenza H1N1. What's more, we explain the control reproduction number $\mathcal R_c$ acco
Externí odkaz:
https://doaj.org/article/c860603e52264787b5a5a7df3358f245
Publikováno v:
Journal of Biological Dynamics, Vol 13, Iss 0, Pp 31-46 (2019)
In meta-population models for infectious diseases, the basic reproduction number $ \mathcal R_0 $ can be as much as 70% larger in the case of preferential mixing than that in homogeneous mixing [J.W. Glasser, Z. Feng, S.B. Omer, P.J. Smith, and L.E.
Externí odkaz:
https://doaj.org/article/ea83ca0faa2546428bc1ea215a9aa695
Publikováno v:
Mathematics, Vol 10, Iss 17, p 3114 (2022)
Cholera, caused by the pathogenic Vibrio cholerae bacteria, remains a severe public health threat. Although a lot of emphasis has been placed on the population-level spread of the disease, the infection itself starts within the body. As such, we form
Externí odkaz:
https://doaj.org/article/67c9393e9987443fbd5134ee2228068e
Autor:
David W. Dick, Lauren Childs, Zhilan Feng, Jing Li, Gergely Röst, David L. Buckeridge, Nick H. Ogden, Jane M. Heffernan
Publikováno v:
Vaccines, Vol 10, Iss 1, p 17 (2021)
COVID-19 seroprevalence changes over time, with infection, vaccination, and waning immunity. Seroprevalence estimates are needed to determine when increased COVID-19 vaccination coverage is needed, and when booster doses should be considered, to redu
Externí odkaz:
https://doaj.org/article/f6ce5636684044fcad92cadc820265c1
Autor:
John Glasser, Denis Taneri, Zhilan Feng, Jen-Hsiang Chuang, Peet Tüll, William Thompson, Mary Mason McCauley, James Alexander
Publikováno v:
PLoS ONE, Vol 5, Iss 9, p e12777 (2010)
Because they can generate comparable predictions, mathematical models are ideal tools for evaluating alternative drug or vaccine allocation strategies. To remain credible, however, results must be consistent. Authors of a recent assessment of possibl
Externí odkaz:
https://doaj.org/article/d130bb90621241c1a01f06cbf060cf48
Publikováno v:
Jichu yixue yu linchuang, Vol 43, Iss 6, Pp 948-952 (2023)
Objective To detect the expression level of long non-coding carbonyl reductase 3 antisense RNA1(LncRNA CBR3-AS1) in the serum of patients with multiple myeloma and analyze its clinical significance. Methods This study included 100 patients with multi
Externí odkaz:
https://doaj.org/article/dd3f0b456c7043b4a8a665f5a353b25e
Autor:
Zhilan Feng
Mathematical models can be very helpful to understand the transmission dynamics of infectious diseases. This book presents examples of epidemiological models and modeling tools that can assist policymakers to assess and evaluate disease control strat
