Tag Archives: Epidemiological Modeling

Institute for Disease Modeling Publishes Paper in BMC Systems Biology Journal

Figure 1 from paper; this diagram describes how the HIV Model is set up.

The Institute for Disease Modeling‘s HIV within-host modeling effort, led by Anna Bershteyn, recently published a paper in the open access, peer-reviewed journal BMC Systems Biology.  The paper — A Model of HIV Drug Resistance Driven by Heterogeneities in Host Immunity and Adherence Patterns — explores methods of implementing host heterogeneities and their long-term effects on […]

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Institute for Disease Modeling Publishes Paper in Journal of the Royal Society Interface

Comparison of age-mixing patterns used for model input, realized as model output, and occurring during transmission of HIV.

Recently, the Institute for Disease Modeling published a paper in the Journal of the Royal Society Interface. The paper — Age-dependent Partnering and the HIV Transmission Chain: a Microsimuation Analysis — describes the structure and parameters of EMOD-HIV, a detailed population model that represents the epidemic with sufficient detail to characterize the dynamics of ongoing transmission by […]

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Institute for Disease Modeling

project_thumb_emod

We are pleased to announce that the Epidemiological Modeling (EMOD) group at Intellectual Ventures Laboratory has been renamed the Institute for Disease Modeling. Over the last six years, the EMOD group has grown from a small Lab project with a handful of researchers to a growing team, now numbering over three dozen researchers and software […]

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EMOD Publishes Paper in Malaria Journal

EMOD-malaria fig6

Edward Wenger and Philip Eckhoff’s recent publication in the Malaria Journal,  A Mathematical Model of the Impact of Present and Future Malaria Vaccines, studies the impact of potential malaria vaccines within the framework of the EMOD malaria model. This individual-based model couples a detailed description of the vector lifecycle with a comprehensive, mechanistic representation of […]

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EMOD V1.5 Software Release

EMODv1.5

The EMOD program launched its second release of their malaria modeling software last week, just before convening its first annual EMOD Modeling Malaria Symposium. The first version of their software launched in September 2012 and focused on modeling the spread of malaria and the potential impacts of health policies and intervention strategies. The EMOD v1.5 […]

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EMOD’s Basil Bayati Publishes Paper in the Journal of Chemical Physics

FIG. 5. Plot of the number of particles of species u 1 undergoing the reaction u 1 + u 2 → 2 u 1 with α = 1/2 (grey), α = 1 (magenta), α = 3/2 (blue), α = 2 (red). ζ ( x ; t ) represents the number of particles of u 1 at position x at time t .

Basil Bayati, a member of our Epidemiological Modeling team,  recently published a paper in the Journal of Chemical Physics.  The paper — Fractional diffusion-reaction stochastic simulations — details our work with stochastic simulations of reaction-diffusion processes for modeling physical phenomena. The underlying spatial process of physical phenomena, including epidemiological processes, is often assumed to be […]

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EMOD Publishes Paper In Physical Review E

EMOD_paper

Recently, our Epidemiological Modeling team published a paper in the American Physical Society’s Physical Review E: statistical, nonlinear, and soft matter physics journal. The paper — Influence of High-order Nonlinear Fluctuations in the Multivariate Susceptible-infectious-recovered Master Equation — details our work with the susecptible-infectious-recovered epidemiological model, which is the canonical model for the propagation of […]

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EMOD Software Release

Malaria_Madagascar_web

The goal of Epidemiological Modeling (EMOD) program at Intellectual Ventures Lab is to determine the combination of health policies and intervention strategies that can lead to disease eradication. The EMOD team creates disease modeling and data analysis tools to help researchers and policy makers understand diseases, their causes, the way they spread, and the path […]

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EMOD Publishes Paper on Malaria

Philip_graph

The epidemiological team (EMOD) at IV Lab has had a banner of a few weeks.  They are putting the final touches on their malaria modeling software and Philip Eckhoff, Principal Investigator, recently had a new paper published in the peer-reviewed open access journal PLOS One.  The paper - P. falciparum Infection Durations and Infectiousness Are Shaped by […]

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Sharing the Load

Checkerboard balancing

It’s one thing to have a powerful supercomputer cluster, it’s quite another thing to use it at its full potential. For anyone who has ever chopped wood, you know that slight changes in one’s stance or grip can dramatically increase the amount force the axe can delivered. Similarly, when dealing with a multi-core computer.

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