Zobrazeno 1 - 10
of 203
pro vyhledávání: '"FRED BRAUER"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 4, Pp 3294-3328 (2020)
We formulated and analyzed a class of coupled partial and ordinary differential equation (PDE-ODE) model to study the spread of airborne diseases. Our model describes human populations with patches and the movement of pathogens in the air with linear
Externí odkaz:
https://doaj.org/article/f5b36f1f73cd41a9bce9b0fd34f1cbf9
Publikováno v:
Infectious Disease Modelling, Vol 5, Iss , Pp 197-220 (2020)
In this work we propose a mathematical model to simulate Chikungunya spread; the spread model is implemented in a C++ cellular automata code defined on unstructured triangular grids and space visualizations are performed with Python. In order to simu
Externí odkaz:
https://doaj.org/article/7c6c51d991694f18aafc65a1f209ee9c
Publikováno v:
Infectious Disease Modelling, Vol 5, Iss , Pp 855-870 (2020)
We developed a mathematical model to study the co-interaction of HIV and syphilis infection among gay, bisexual and other men who have sex with men (gbMSM). We qualitatively analysed the model and established necessary conditions under which disease-
Externí odkaz:
https://doaj.org/article/08c7c68e306044a7ab3a6f19503d5a57
Autor:
Fred Brauer
Publikováno v:
Journal of Biological Dynamics, Vol 13, Iss 0, Pp 23-30 (2019)
Early in a disease outbreak, it is important to be able to estimate the final size of the epidemic in order to assess needs for treatment and to be able to compare the effects of different treatment approaches. However, it is common for epidemics, es
Externí odkaz:
https://doaj.org/article/434d877aca44400fa864d23d9a82255c
Autor:
Fred Brauer
Publikováno v:
Journal of Biological Dynamics, Vol 11, Iss 0, Pp 285-293 (2017)
We consider an epidemic model in which all disease transmission is through shedding of virus by infectives and acquisition by susceptibles, rather than by direct contact. This leads to an susceptible-infectious-virus-removed (SIVR) model for which we
Externí odkaz:
https://doaj.org/article/b2d81b6465ef40b5b3468ef17124e534
Autor:
Fred Brauer
Publikováno v:
Infectious Disease Modelling, Vol 2, Iss 2, Pp 113-127 (2017)
We give a brief outline of some of the important aspects of the development of mathematical epidemiology.
Externí odkaz:
https://doaj.org/article/341ef386d0634a6b9afdf29cd6ed8f55
Autor:
Fred Brauer
Publikováno v:
Infectious Disease Modelling, Vol 2, Iss 1, Pp 12-20 (2017)
We formulate and analyze an age of infection model for epidemics of diseases transmitted by a vector, including the possibility of direct transmission as well. We show how to determine a basic reproduction number. While there is no explicit final siz
Externí odkaz:
https://doaj.org/article/47fae352ca734831abeb592d06d471d0
Publikováno v:
Infectious Disease Modelling, Vol 1, Iss 1, Pp 79-87 (2016)
Vector-transmitted diseases such as dengue fever and chikungunya have been spreading rapidly in many parts of the world. The Zika virus has been known since 1947 and invaded South America in 2013. It can be transmitted not only by (mosquito) vectors
Externí odkaz:
https://doaj.org/article/5601a4986114459bafd956b854a5bcc0
Autor:
Fred Brauer
Publikováno v:
Electronic Journal of Differential Equations, Vol Conference, Iss 12, Pp 29-37 (2005)
Disease transmission models in which infectivity depends on the time since infection are of importance in studying such diseases as HIV/AIDS. They also provide a means of unifying models with exposed stages or temporary immunity. We formulate a gener
Externí odkaz:
https://doaj.org/article/2c3170c57aff407f88a370f243e45ad0
Autor:
Fan Bai, Fred Brauer
Publikováno v:
Epidemiologia
Volume 2
Issue 1
Pages 7-83
Volume 2
Issue 1
Pages 7-83
We begin with a simple model for the COVID-19 epidemic and add face mask usages and testing and quarantine of infectives. We estimate the effect on the reproduction number and discuss the question of whether the epidemic can be controlled by increase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c67fd831fcec35b6c2bbe8ad3f466a0
https://doi.org/10.3390/epidemiologia2010007
https://doi.org/10.3390/epidemiologia2010007