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Addressing Socioeconomic Disparities In The Treatment Of Antimicrobial-Resistant Infections: The Role Of Pharmacists In Mitigating Barriers, Arin Wade, Danielle Egbujor, Anna Spalvieri, Owen Fox, Marisa Petrunich, Joshua Honaker, Samantha Mccord, Kasie Landin
Addressing Socioeconomic Disparities In The Treatment Of Antimicrobial-Resistant Infections: The Role Of Pharmacists In Mitigating Barriers, Arin Wade, Danielle Egbujor, Anna Spalvieri, Owen Fox, Marisa Petrunich, Joshua Honaker, Samantha Mccord, Kasie Landin
Pharmacy and Wellness Review
Antimicrobial resistance is an escalating global threat driven by inappropriate antibiotic use and shaped by socioeconomic disparities. Social determinants of health, including limited healthcare access, poverty, low health literacy, and environmental conditions, contribute to higher rates of resistant infections and poorer treatment outcomes in underserved populations. Barriers such as pharmacy deserts, self-medication, and inadequate stewardship infrastructure amplify these risks. Pharmacists, as accessible and highly trained healthcare professionals, play a critical role in combating antimicrobial resistance by optimizing antibiotic use, delivering culturally competent education, and leading antimicrobial stewardship programs across settings. Community and clinical pharmacists are especially well positioned to bridge …
Identifying Sources Of Antibiotic Resistance Genes In The Environment Using The Microbial Find, Inform, And Test Framework, Corinne Wiesner-Friedman, Rachelle E. Beattie, Jill R. Stewart, Krassimira R. Hristova, Marc L. Serre
Identifying Sources Of Antibiotic Resistance Genes In The Environment Using The Microbial Find, Inform, And Test Framework, Corinne Wiesner-Friedman, Rachelle E. Beattie, Jill R. Stewart, Krassimira R. Hristova, Marc L. Serre
Biological Sciences Faculty Research and Publications
Introduction: Antimicrobial resistance (AMR) is an increasing public health concern for humans, animals, and the environment. However, the contributions of spatially distributed sources of AMR in the environment are not well defined.
Methods: To identify the sources of environmental AMR, the novel microbial Find, Inform, and Test (FIT) model was applied to a panel of five antibiotic resistance-associated genes (ARGs), namely, erm(B), tet(W), qnrA, sul1, and intI1, quantified from riverbed sediment and surface water from a mixed-use region.
Results: A one standard deviation increase in the modeled contributions of elevated AMR from bovine sources or land-applied waste sources [land application …