Publications by authors named "Abdi D Wakene"
A pandemic of COVID-19 mis- and disinformation: manual and automatic topic analysis of the literature.
Antimicrob Steward Healthc Epidemiol
September 2024
Article Synopsis
- The study investigates the spread of mis- and disinformation related to COVID-19, highlighting its prevalence and the role of social media in amplifying false information.
- A comprehensive review of 868 peer-reviewed articles from 2020 to 2022 was conducted, revealing that over a third focused on mitigation and prevention strategies.
- Analysis showed a predominance of negative sentiments in the literature, with fear and sadness being the most common emotions linked to the misinformation surrounding the pandemic.
Mortality in hospitalized SARS-CoV-2 patients with contemporaneous bacterial and fungal infections.
Antimicrob Steward Healthc Epidemiol
September 2024
Background: The interplay between SARS-CoV-2 and contemporaneous bacterial or fungal culture growth may have crucial implications for clinical outcomes of hospitalized patients. This study aimed to quantify the effect of microbiological culture positivity on mortality among hospitalized patients with SARS-CoV-2.
Methods: In this retrospective cohort study, we included adult hospitalized patients from OPTUM COVID-19 specific data set, who tested positive for SARS-CoV-2 within 14 days of hospitalization between 01/20/2020 and 01/20/2022.
Article Synopsis
- The rise of antimicrobial resistant (AMR) infections poses a significant global health danger, influenced by complex factors, including socioeconomic conditions.
- A study in the Dallas-Fort Worth area analyzed patient data from 2015 to 2020, linking bacterial culture results to socioeconomic indices to understand AMR patterns.
- Findings indicated that regions with high deprivation levels had higher AMR rates, suggesting that improving socioeconomic factors could help reduce AMR spread.
Background: Lack of consensus on the appropriate look-back period for multi-drug resistance (MDR) complicates antimicrobial clinical decision support. We compared the predictive performance of different MDR look-back periods for five common MDR mechanisms (MRSA, VRE, ESBL, AmpC, CRE).
Methods: We mapped microbiological cultures to MDR mechanisms and labeled them at different look-back periods.
Large Language Models (LLM) are AI tools that can respond human-like to voice or free-text commands without training on specific tasks. However, concerns have been raised about their potential racial bias in healthcare tasks. In this study, ChatGPT was used to generate healthcare-related text for patients with HIV, analyzing data from 100 deidentified electronic health record encounters.
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