Publications by authors named "C Phares"
Article Synopsis
- Oral cholera vaccination (OCV) campaigns are being evaluated for their cost-effectiveness in refugee camps, particularly in the Maela camp in Thailand, where cholera outbreaks occur with a notable incidence rate.
- The analysis showed that the economic costs of the OCV campaign were significant, totaling around USD 289,561, with a high incremental cost per death averted, but it indicated that higher cholera incidence or case fatality rates could improve cost-effectiveness.
- Sensitivity analyses demonstrated that adjusting the case fatality rate or incidence could lead to more favorable cost-per-DALY (disability-adjusted life years) figures, suggesting strategic use of OCV campaigns in outbreak-prone areas.
Article Synopsis
- * Researchers trained deep learning models using over 152,000 chest X-rays from applicants aged 15 and older to identify abnormalities, specifically those related to TB, and to classify findings like cavities or infiltrates.
- * The models demonstrated high accuracy, with an area under the curve (AUC) score of up to 0.99 for detecting TB-related abnormalities and performed well across various testing datasets, indicating reliability in this diagnostic method.
Persons may seek asylum in the United States or at a U.S. port of entry.
View Article and Find Full Text PDFIntroduction: Emergency medicine (EM) trainees must learn to manage multiple patients simultaneously using task-switching. While prior work has demonstrated that multipatient scenarios can be an effective teaching tool for task-switching, few studies have shown how simulation can be used to assess residents' ability to manage multiple patients effectively. The goal of this curriculum was to provide a formative assessment of core EM skills by employing a series of simulations designed to require frequent task-switching.
View Article and Find Full Text PDFDiagnostic accuracy of three computer-aided detection systems for detecting pulmonary tuberculosis on chest radiography when used for screening: Analysis of an international, multicenter migrants screening study.
PLOS Glob Public Health
July 2023
The aim of this study was to independently evaluate the diagnostic accuracy of three artificial intelligence (AI)-based computer aided detection (CAD) systems for detecting pulmonary tuberculosis (TB) on global migrants screening chest x-ray (CXR) cases when compared against both microbiological and radiological reference standards (MRS and RadRS, respectively). Retrospective clinical data and CXR images were collected from the International Organization for Migration (IOM) pre-migration health assessment TB screening global database for US-bound migrants. A total of 2,812 participants were included in the dataset used for analysis against RadRS, of which 1,769 (62.
View Article and Find Full Text PDF