Medicine and Health Sciences Commons^™

A Retrospective Study Of The Opioid Epidemic And Fentanyl Related Overdose Fatality Cases In A Florida West Coast Medical Examiner District Population, Anne Terese Powell

USF Tampa Graduate Theses and Dissertations

Opioids are scheduled by the propensity for misuse and abuse with a high rate of dependency and risk of fatal overdose. Opioids can be divided into different classes, including, natural, synthetic, and semi-synthetic. Opiates are naturally occurring and come directly from the opium poppy plant; whereas the semi synthetics opioids are chemical modifications of the poppy plant. Synthetic opioids attach to the opioid receptor but contain no part of the poppy plant. The increased variety and frequency in opioid prescriptions contributed to an opioid epidemic in the United States which is still on going.

According to the CDC, the opioid …

Rhabdomyosarcoma Incidence And Survival In Whites, Blacks, And Hispanics From 1973-2013: Analysis From The Surveillance, Epidemiology, And End Results Program, Heather Tinsley

USF Tampa Graduate Theses and Dissertations

Purpose

Our objectives were to 1) determine the difference in Rhabdomyosarcoma (RMS) incidence and survival between different race/ethnicity groups, and 2) evaluate the difference in survival of RMS between children and adults of these race/ethnicity groups, using the Surveillance, Epidemiology, and End Results Program (SEER) database between 1973-2013.

Patients and Methods

We analyzed racial characteristic and incidence data from 4,280 patients diagnosed with RMS, between 1973-2013, that were reported to the SEER database. Survival and hazard analyses were conducted on 4,268 patients with known follow-up data, with end point being death from any cause.

Results

Over the 40-year study period …

Statistical Analysis And Modeling Of Brain Tumor Data: Histology And Regional Effects, Keshav Prasad Pokhrel

USF Tampa Graduate Theses and Dissertations

Comprehensive statistical models for non-normally distributed cancerous tumor sizes are

of prime importance in epidemiological studies, whereas a long term forecasting models

can facilitate in reducing complications and uncertainties of medical progress. The statistical

forecasting models are critical for a better understanding of the disease and supply

appropriate treatments. In addition such a model can be used for the allocations of budgets,

planning, control and evaluations of ongoing efforts of prevention and early detection of

the diseases.

In the present study, we investigate the effects of age, demography, and race on primary

brain tumor sizes using quantile regression methods to …