Ending Race-Conscious College Admissions and Its Potential Impact on the Infectious Disease Workforce.

Open Forum Infect Dis

Tuberculosis Services, Westchester Department of Health, Chair IDSA Committee on Diversity Access & Equity, White Plains, New York, USA.

Published: March 2024

On 29 June 2023, the Supreme Court of the United States ruled that race-conscious consideration for college admission is unconstitutional. We discuss the consequences of this ruling on the delivery of equitable care and health system readiness to combat current and emerging pandemics. We propose strategies to mitigate the negative impact of this ruling on diversifying the infectious disease (ID) workforce.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10913839PMC
http://dx.doi.org/10.1093/ofid/ofae083DOI Listing

Publication Analysis

Top Keywords

infectious disease
8
disease workforce
8
race-conscious college
4
college admissions
4
admissions potential
4
potential impact
4
impact infectious
4
workforce june
4
june 2023
4
2023 supreme
4

Similar Publications

Background: Leprosy (Hansen's disease) is an infectious disease most common in resource-limited countries caused by the acid-fast bacilli Mycobacterium leprae and Mycobacterium lepromatosis that frequently affects the skin and peripheral nerves. Prompt diagnosis and treatment with multidrug therapy is crucial to reduce disease transmission and sequelae, which include nerve function impairment, ocular injury, and stigmatizing physical deformities. Traditional treatment of multibacillary leprosy consists of 12-24 months of multidrug therapy with dapsone, rifampin, and clofazimine.

View Article and Find Full Text PDF

Hormographiella aspergillata is a rare hyaline mold causing invasive fungal infection in humans, until the frequent use of antifungal prophylaxis in immunocompromised hosts. Due to the high mortality of H. aspergillata infection, early recognition and treatment are crucial.

View Article and Find Full Text PDF

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

BMC Public Health

December 2024

Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.

Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.

View Article and Find Full Text PDF

Background: Invasive fungal infections have been reported as complications with significant mortality and morbidity in patients hospitalized with COVID-19. This study aimed to evaluate the clinical characteristics and outcomes of candidaemia patients with COVID-19 and to investigate the association between COVID-19 and mortality in candidaemia patients.

Methods: This retrospective study included candidaemia patients aged 18 years or older admitted to four university-affiliated tertiary hospitals in South Korea between January 1, 2020, and December 31, 2022.

View Article and Find Full Text PDF

Background: Tuberculosis (TB) remains a significant global health issue. Drug-resistant TB and comorbidities exacerbate its burden, influencing treatment outcomes and healthcare utilization. Despite the growing prevalence of TB comorbidities, research often focuses on single comorbidities rather than comorbidity patterns.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!