Publications by authors named "O Tripathi"
Military members and female sex workers (FSWs) may be more likely to acquire or transmit HIV. Mapping HIV transmission across these high-risk populations and identifying behaviors associated with sexual network clustering are needed for effective HIV prevention approaches. A cross-sectional study recruited participants newly diagnosed with HIV among militaries, civilians, and FSWs in Zambia, Senegal, and Democratic Republic of the Congo (DRC).
View Article and Find Full Text PDFObjective: As countries adopt more lenient cannabis use policies, perception of harm from secondhand cannabis smoke (SHCS) exposure is decreasing and most cannabis smoking is taking place at home. We quantified the relationship of reported in-home cannabis smoking with perceived harm from SHCS exposure.
Methods: The analytic sample comprised 28,154 adult respondents, from 21 countries, to the annual cross-sectional Global Drug Survey (2021) of users of licit or illicit drugs.
Cancer Mortality among Hispanic Groups in the United States by Birthplace (2003-2017).
Cancer Epidemiol Biomarkers Prev
December 2024
Article Synopsis
- The study examines cancer mortality rates among different Hispanic subgroups in the US over 15 years, focusing on variations based on nativity (native- or foreign-born).
- Analysis of over 228,000 cancer deaths suggests that Puerto Rico-born, Cuba-born, and US-born Mexicans face some of the highest cancer mortality rates, with foreign-born Hispanics generally having higher rates than US-born, except Mexicans.
- The findings highlight significant differences in cancer mortality by nativity within Hispanic populations, underscoring the need for tailored health resources to address these disparities.
The identification and classification of carcinogens is critical in cancer epidemiology, necessitating updated methodologies to manage the burgeoning biomedical literature. Current systems, like those run by the International Agency for Research on Cancer (IARC) and the National Toxicology Program (NTP), face challenges due to manual vetting and disparities in carcinogen classification spurred by the volume of emerging data. To address these issues, we introduced the Carcinogen Detection via Transformers (CarD-T) framework, a text analytics approach that combines transformer-based machine learning with probabilistic statistical analysis to efficiently nominate carcinogens from scientific texts.
View Article and Find Full Text PDFObjectives: Bibliometrics, such as the Hirsch index (h-index) and the more recently developed relative citation ratio (RCR), are utilized to evaluate research productivity. Our study evaluates demographics, research productivity, and National Institutes of Health (NIH) funding in academic otology.
Methods: Academic otologists were identified, and their demographics were collected using institutional faculty profiles (N = 265).