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X-WR-CALDESC:Events for Biomathematics
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DTSTART;TZID=America/New_York:20151006T080000
DTEND;TZID=America/New_York:20151006T080000
DTSTAMP:20200924T212857Z
CREATED:20200222T034047Z
LAST-MODIFIED:20200924T212857Z
UID:1046-1444118400-1444118400@biomath.math.ufl.edu
SUMMARY:Sergei Pilyugin (UF Mathematics)
DESCRIPTION:The Perron-Frobenius theorem and its applications\nThe Perron-Frobenius theorem states that a positive matrix admits a positive principal eigenvalue with associated posited eigenvalue. I will discuss the applications of this result for dynamics and differential equations.
URL:https://biomath.math.ufl.edu/event/sergei-pilyugin-uf-3/
LOCATION:368 Little Hall
CATEGORIES:Fall 2015
ATTACH;FMTTYPE=image/jpeg:https://biomath.math.ufl.edu/wp-content/uploads/sites/607/pilyugin_sergei.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20151013T125000
DTEND;TZID=America/New_York:20151013T134000
DTSTAMP:20200924T213952Z
CREATED:20200222T034741Z
LAST-MODIFIED:20200924T213952Z
UID:1048-1444740600-1444743600@biomath.math.ufl.edu
SUMMARY:Anaiá da Paixão Sevá (University of São Paulo\, Preventive Veterinary Medicine and Animal Health)
DESCRIPTION:Using mathematical model to understand the impact of various preventive and control measures on the dynamics of visceral leishmaniasis in Brazil\nVisceral leishmaniasis (VL) is a zoonosis with global distribution. Its incidence has increased in Brazil in recent years\, thus coming to represent a serious public and animal health problem. The strategies applied in Brazil\, essentially consisting of diagnosis and culling of seropositive dogs\, have not sufficed to control the disease. Thus\, we used a mathematical model of differential equation to evaluate the efficacy of different strategies of prevent and control of VL in endemic areas of Brazil\, in different coverages. Rates of elimination of seropositive dogs\, use of insecticide-impregnated dog collars and vaccination of dogs were simulated. The results showed that all of the tested control strategies significantly contributed to reduce the prevalence of infection in both the canine and the human population. However\, none of the simulated measures was able to fully eliminate the disease. Because the use of insecticide-impregnated collars directly affects the vector-related parameters and the force of infection\, it is possible to understand their high level of efficacy as a control measure. Evaluating the efficacy of control measures in different scenarios of coverage allows for better analysis of those measures to be selected for actual implementation and thus contributes to the elaboration of programs for the control and prevention of VL\, especially in high-priority endemic areas.
URL:https://biomath.math.ufl.edu/event/anaia-da-paixao-seva-university-of-sao-paulo/
LOCATION:368 Little Hall
CATEGORIES:Fall 2015
ATTACH;FMTTYPE=image/jpeg:https://biomath.math.ufl.edu/wp-content/uploads/sites/607/dapaixaoseva_anaia.jpg
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DTSTART;TZID=America/New_York:20151020T125000
DTEND;TZID=America/New_York:20151020T134000
DTSTAMP:20200924T212847Z
CREATED:20200222T035038Z
LAST-MODIFIED:20200924T212847Z
UID:1050-1445345400-1445348400@biomath.math.ufl.edu
SUMMARY:Omar Saucedo (UF Mathematics)
DESCRIPTION:Calculating Human to Human Avian Influenza R0 via Likelihood and Jacobian Approach\nThe transmission of avian influenza between humans is extremely rare\, and it mostly affects individuals who are in contact with infected poultry. Although this scenario is uncommon\, there have been multiple outbreaks that occur in small infection clusters in Asia with relatively low transmissibility\, and thus are too weak to cause an epidemic. Still\, subcritical transmission from stuttering chain data is vital for determining whether avian influenza is close to the threshold of R0>1. In this talk\, we will explore two methods of calculating R0 using a likelihood approach and the standard Jacobian method.
URL:https://biomath.math.ufl.edu/event/omar-saucedo-uf-2/
LOCATION:368 Little Hall
CATEGORIES:Fall 2015
ATTACH;FMTTYPE=image/jpeg:https://biomath.math.ufl.edu/wp-content/uploads/sites/607/saucedo_omar.jpg
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DTSTART;TZID=America/New_York:20151027T125000
DTEND;TZID=America/New_York:20151027T134000
DTSTAMP:20200924T212838Z
CREATED:20200222T035410Z
LAST-MODIFIED:20200924T212838Z
UID:1052-1445950200-1445953200@biomath.math.ufl.edu
SUMMARY:Darby Smith (UF Mathematics)
DESCRIPTION:Measuring the Electrostatic Drag of Dyaction\nDynactin\, an activator of dynein\, connects intracellular cargo to dynein motors.  Linear stochastic models are developed to describe the interaction of intracellular cargo\, an anchor\, and a functionalized motor.  These models use known parameters and available data for dynactin to produce an estimate of electrostatic drag.  Using available data for kinesin\, we deduce that  dynactin reduces the velocity of kinesin by about 17%.  When values for dynein are used\, a contradiction in estimate occurs for electrostatic drag\, suggesting that dynactin affects dynein in a more complicated way.
URL:https://biomath.math.ufl.edu/event/j-darby-smith-uf/
LOCATION:368 Little Hall
CATEGORIES:Fall 2015
ATTACH;FMTTYPE=image/jpeg:https://biomath.math.ufl.edu/wp-content/uploads/sites/607/smith_darby.jpg
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