Infectious disease epidemiologist specializing in the intersection between
mathematical models of disease transmission and observational methods.
Using data from the outbreak of cholera that started in 2010 in the region, they developed
a mathematical model of the disease's epidemiology.
Not exact matches
The combination
of mathematical modeling and high - performance computing may be the only way to overcome the complexity
of cancer, which is not one
disease but more than a hundred, each with numerous sub-types.
Benjamin «Benjy» Firester, 18,
of New York City, won the top award
of $ 250,000 for developing a
mathematical model that uses
disease data to predict how weather patterns could spread spores
of late blight fungus, which caused the Irish Potato Famine.
«It started to become quite evident to me that a research career in infectious
disease epidemiology and
mathematical modeling would be a fairly perfect combination
of my longstanding interests in math and biology and medicine, as well as my emerging interest in infectious
disease transmission and public health more generally,» she says.
The team fit a
mathematical contagion
model for the spread
of disease to the data and was able to show that the trends in the news media stories explained nearly all
of the variation in the social media.
Their
mathematical model also predicted how the Disneyland outbreak helped push California back from the tipping point by making parents more afraid
of the
disease than the vaccine.
In a further step, the researchers used
mathematical models to predict how an infectious
disease would spread considering the changes in behaviour
of the sick animals.
But Majumder, a scientist who specializes in
mathematical modeling, saw something different in the splotches
of light pink: a disaster for infectious
disease surveillance.
Potential outbreaks
of diseases such as Ebola and Lassa fever may be more accurately predicted thanks to a new
mathematical model developed by researchers at the University
of Cambridge.
«Dengue strains differ in rates
of viral replication: New research works to decipher the relationship between dengue viral load patterns and
disease severity using
mathematical models.»
The authors developed a
mathematical model accounting for
disease progression, mortality, morbidity and the heterosexual transmission
of HIV to help forecast future trends in the
disease.
I also give talks in schools on infectious
diseases and the use
of mathematical models.
By incorporating social norms into predictive
mathematical modelling, a research team from the University
of Guelph and the University
of Waterloo found that they can foresee the observed patterns
of population behavior and
disease spread during vaccine scares — times when anti-vaccine sentiment is strong.
My research combines the use
of mathematical models and statistical methods to understand the transmission dynamics and control
of a range
of infectious
diseases of humans and animals.
Benjy Firester, 18,
of New York City, won the top award
of $ 250,000 for his development
of a
mathematical model which predicts how
disease data and weather patterns could spread spores
of the «late blight» fungus that caused the Irish Potato Famine and still causes billions
of dollars in crop damages annually.
Our aim is to develop a multi-scale
mathematical model (ranging from the molecular to the organ scale)
of the liver tissue that can predict alterations
of organ function consequent to molecular perturbations and
disease states.
This workshop explored
mathematical tools and problems in describing the life cycle, stage conversion, and clonal expansion
of T. gondii by bringing together expertise in parasitic
diseases, epidemiology, population genetics,
disease modeling, network dynamics, evolutionary dynamics, and nonlinear analysis.
His
mathematical model showed that vaccinations do NOT lower
disease mortality and DO increase
disease morbility — the frequency
of the
disease within the population.