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At MathEcology one of our specialties is the incorporation of mathematical models into custom
software applications, with particular emphasis on epidemiological applications. Our work in this area
has involved collaboration with international organizations and government agencies, and continues to
grow. Two of our products are briefly outlined below. Feel free to
contact us for additional information on these or any of our projects.
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| Measles Vaccination Simulator |
| Pandemic Influenza |
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In an effort to control the spread of disease, public health policy makers must choose optimal
vaccination strategies for maximum public health benefit. To help provide as much information as
possible for making these decisions, the researchers at MathEcology have developed a custom
mathematical and epidemiological application which simulates measles vaccination campaign strategies,
in which users are able to compare multiple scenarios side-by-side. The VS Vaccination Simulator
application graphically illustrates potential reductions in disease cases and deaths over time and by
population subgroup, with specific modules developed to model measles transmission.
The mathematical structure behind the VS Vaccination Simulator is a numerical discrete-time age-
structured aspatial deterministic SIR model with vaccination. Within the application, internal
parameters such as R0 and case-fatality ratios are derived from up-to-date epidemiological data, and
graphing routines display the results.
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The results calculated by the VS Vaccination Simulator are measles cases and deaths by year and age, as
well as Disability Adjusted Life Years lost and proportion of population still susceptible. The
graphical results are displayed side-by-side for each scenario to illustrate benefits and risks
associated with each option, and numerical results can be exported for additional applications.
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For more information regarding the VS Vaccination Simulator, please feel free to
contact us.
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In light of current events, the researchers at MathEcology have developed a mathematical model and
software application capable of assessing the impact that pandemic influenza may have on specific
subpopulations within the United States and abroad. This mathematical model has been encapsulated in a
free-standing software application which runs on personal computers and laptops with standard operating
systems, and is based on a suite of existing validated and peer-reviewed models which estimate the
potential impact of an outbreak of pandemic influenza on the general population.
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We customized the suite of existing models for application to client-specific population structure, and
allowed for the entry of user inputs and editing of default values for the following parameters through
a variety of descriptive fields via a user-friendly graphical user interface:
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| Disease dynamics including death rates |
| Hospitalization and outpatient visit rates |
| Medical resources |
| Vaccinations |
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The pandemic influenza application allows the user to enter multiple scenarios with varying parameters,
to allow graphical and numerical comparison between outcomes, for both time series and total numbers
relating to influenza morbidity and mortality, as well as associated resource utilization.
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For more information regarding Pandemic Influenza Modeling, please feel free to
contact us.
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