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Articles 1 - 4 of 4
Full-Text Articles in Medicine and Health Sciences
Transmission Of Panulirus Argus Virus 1 (Pav1) And Its Effect On The Survival Of Juvenile Caribbean Spiny Lobster, Mark J. Butler Iv, Donald C. Behringer Jr., Jeffrey D. Shields
Transmission Of Panulirus Argus Virus 1 (Pav1) And Its Effect On The Survival Of Juvenile Caribbean Spiny Lobster, Mark J. Butler Iv, Donald C. Behringer Jr., Jeffrey D. Shields
Biological Sciences Faculty Publications
The Caribbean spiny lobster Panulirus argus, an important fisheries species, is host to Panulirus argus virus 1 (PaV1), a lethal, unclassified virus-the first found in any species of lobster-prevalent in juvenile lobsters. We describe a series of laboratory experiments aimed at assessing the likely modes of disease transmission, determining the survival of lobsters relative to each transmission pathway and identifying potential alternate hosts. Given evidence for lower prevalence of PaV1 in large lobsters, the effect of lobster size on susceptibility was also examined. Results demonstrated that PaV1 can be transmitted to juvenile lobsters via inoculation, ingestion of diseased tissue, contact …
Advancing Epidemiological Science Through Computational Modeling: A Review With Novel Examples, Scott M. Duke-Sylvester, Eli N. Perencevich, Jon P. Furuno, Leslie A. Real, Holly Gaff
Advancing Epidemiological Science Through Computational Modeling: A Review With Novel Examples, Scott M. Duke-Sylvester, Eli N. Perencevich, Jon P. Furuno, Leslie A. Real, Holly Gaff
Biological Sciences Faculty Publications
Computational models have been successfully applied to a wide variety of research areas including infectious disease epidemiology. Especially for questions that are difficult to examine in other ways, computational models have been used to extend the range of epidemiological issues that can be addressed, advance theoretical understanding of disease processes and help identify specific intervention strategies. We explore each of these contributions to epidemiology research through discussion and examples. We also describe in detail models for raccoon rabies and methicillin-resis-tant Staphylococcus aureus, drawn from our own research, to further illustrate the role of computation in epidemiological modeling.
An Efficient Algorithm For Biomarker Identification, Jiang Li, Rick Mckenzie, Lisa Cazares, Richard Drake, John Semmens
An Efficient Algorithm For Biomarker Identification, Jiang Li, Rick Mckenzie, Lisa Cazares, Richard Drake, John Semmens
Electrical & Computer Engineering Faculty Publications
No abstract provided.
Do Hospitalists Or Physicians With Greater Inpatient Hiv Experience Improve Hiv Care In The Era Of Highly Active Antiretroviral Therapy? Results From A Multicenter Trial Of Academic Hospitalists, John A. Schneider, Qi Zhang, Andrew Auerbach, David Gonzales, Peter Kaboli, Jeffrey Schnipper, Tosha B. Wetterneck, David L. Pitrak, David O. Meltzer
Do Hospitalists Or Physicians With Greater Inpatient Hiv Experience Improve Hiv Care In The Era Of Highly Active Antiretroviral Therapy? Results From A Multicenter Trial Of Academic Hospitalists, John A. Schneider, Qi Zhang, Andrew Auerbach, David Gonzales, Peter Kaboli, Jeffrey Schnipper, Tosha B. Wetterneck, David L. Pitrak, David O. Meltzer
Community & Environmental Health Faculty Publications
Background. Little is known about the effect of provider type and experience on outcomes, resource use, and processes of care of hospitalized patients with human immunodeficiency virus (HIV) infection. Hospitalists are caring for this population with increasing frequency.
Methods. Data from a natural experiment in which patients were assigned to physicians on the basis of call cycle was used to study the effects of provider type—that is, hospitalist versus non hospitalist—and HIV-specific inpatient experience on resource use, outcomes, and selected measures of processes of care at 6 academic institutions. Administrative data, inpatient interviews, 30-day follow-up interviews, and the National Death …