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Articles 1 - 4 of 4
Full-Text Articles in Disease Modeling
Arrhythmogenic Right Ventricular Cardiomyopathy: A Comprehensive Review, Taha Shaikh, Darren Nguyen, Jasmine Dugal, Michael Dicaro, Brianna Yee, Nazanin Houshmand, Kachon Lei, Ali Namazi
Arrhythmogenic Right Ventricular Cardiomyopathy: A Comprehensive Review, Taha Shaikh, Darren Nguyen, Jasmine Dugal, Michael Dicaro, Brianna Yee, Nazanin Houshmand, Kachon Lei, Ali Namazi
Department of Internal Medicine Faculty Research
Arrhythmogenic right ventricular cardiomyopathy (ARVC) is characterized by structural abnormalities, arrhythmias, and a spectrum of genetic and clinical manifestations. Clinically, ARVC is structurally distinguished by right ventricular dilation due to increased adiposity and fibrosis in the ventricular walls, and it manifests as cardiac arrhythmias ranging from non-sustained ventricular tachycardia to sudden cardiac death. Its prevalence has been estimated to range from 1 in every 1000 to 5000 people, with its large range being attributed to the variability in genetic penetrance from asymptomatic to significant burden. It is even suggested that the prevalence is underestimated, as the presence of genotypic mutations …
Addressing The Ecological Fallacy With Lagrangian Inference, Michael Schwob
Addressing The Ecological Fallacy With Lagrangian Inference, Michael Schwob
Calvert Undergraduate Research Awards
Most epidemiologists elect to use statistical models that use population-level data to make inference on the spread of some virus or disease. This has become commonplace in the fields of epidemiology and biostatistics since most data used to construct and verify epidemic models are recorded at the population-level. Obtaining inference from a population-level model may be beneficial in studying the spread of disease in a homogeneous population, but the use of such models to describe a heterogeneous population results in inadequate inference. The inaccuracy of these models is further amplified when one tries to make individual-level inference from these population-level …
Vancomycin Delays Clindamycin-Induced Fatality In The Hamster Model Of Clostridioides [Clostridium] Difficile Infection, Amelia E. Fox-King, Chrisabelle Mefferd, Jacqueline R. Phan, Nancy O. Nou, Ernesto Abel-Santos, Brian P. Hedlund
Vancomycin Delays Clindamycin-Induced Fatality In The Hamster Model Of Clostridioides [Clostridium] Difficile Infection, Amelia E. Fox-King, Chrisabelle Mefferd, Jacqueline R. Phan, Nancy O. Nou, Ernesto Abel-Santos, Brian P. Hedlund
LSAMP Poster Presentations
Antibiotics can leave the host gut microbiome susceptible to Clostridioides [Clostridium] difficile colonization and lethal toxin production. For instance, clindamycin-induced susceptibility to C. difficile infection (CDI) results in rapid fatality in hamster models, yet vancomycin has been shown to offer increased survival in hamsters challenged with C. difficile. We aim to develop an antibiotic treatment that will facilitate CDI susceptibility without prompt fatality in hamster models. An antibiotic regimen starting with a continuous vancomycin treatment along with a single clindamycin dosage is thought to reduce the major disruption in the indigenous gut microbiome and prevent clindamycin-induced death. …
Aids Denialism, Erika Jenel Delos Santos, Roy Llana, Jocelyn Tan
Aids Denialism, Erika Jenel Delos Santos, Roy Llana, Jocelyn Tan
Festival of Communities: UG Symposium (Posters)
AIDS denialism is a growing issue in many parts the world. Through scholarly journal articles, book resources and other research tactics, further understanding how HIV/AIDS denialism is unethical can be distinguished. Discovering that AIDS is most prominent in South Africa explains why denialism is as critical as it is. However, the unethical aspect of AIDS denialism is in effect particularly amongst families. When a South African inhabitant realizes they have AIDS, they feel outcasted by their families due to shame. They fear as though they will be disowned because they have flaws that are unacceptable. These family values are significant …