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Epidemiology

University of South Carolina

Theses/Dissertations

Antibodies

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Public Health

Unearthing An Emerging Neglected Bacterial Disease: Evidence Of Spotted Fever Group Rickettsioses In El Salvador, Kyndall Christian Braumuller Jul 2022

Unearthing An Emerging Neglected Bacterial Disease: Evidence Of Spotted Fever Group Rickettsioses In El Salvador, Kyndall Christian Braumuller

Theses and Dissertations

The main objectives of this dissertation were to investigate the seroprevalence of Spotted Fever Group Rickettsioses (SFGR) antibodies in a specific vulnerable population at high risk for vector-borne disease in El Salvador, understand the relevant risk factors for SFGR past and acute infection in this same population through logistic regression modeling, and clarify the presence of SFGR bacteria in locally collected ticks.

SFGR are a group of bacterial diseases caused by species in the Rickettsia genus of the phylogenetic spotted fever group. These are tick-borne diseases (TBD) that have been described in almost every region of the world. SFGR are …


The Association Between Physical Activity And Serum Immunoglobulin G (Igg) Antibodies Against Periodontal Bacteria, A. Paige Anderson Jan 2016

The Association Between Physical Activity And Serum Immunoglobulin G (Igg) Antibodies Against Periodontal Bacteria, A. Paige Anderson

Theses and Dissertations

The purpose of this study is to add more research and evidence to the mechanisms surrounding periodontal disease, periodontal microorganisms, and physical activity. The main objective of this study is to evaluate and explore the association between physical activity and serum IgG antibodies, which are grouped into four distinct clusters, formed from species specific 19 periodontal antibody titers. This cross sectional study divided physical activity into three categories: adequately physically active, inadequately physically active, and inactive based on MET scores. Certain models were adjusted for confounders including age, sex, race/ethnicity, income-to-poverty ratio, years of formal education, smoking, alcohol intake, BMI, …