A5002242340- COVID-19 Impact on Reproduction
- Immune responses and vaccinations
- Migration, Health and Trauma
- Emergency and Acute Care Studies
- SARS-CoV-2 and COVID-19 Research
- COVID-19 and healthcare impacts
- Interpreting and Communication in Healthcare
- COVID-19 Clinical Research Studies
- Genomics and Rare Diseases
- RNA regulation and disease
- Data-Driven Disease Surveillance
- DNA Repair Mechanisms
- T-cell and Retrovirus Studies
- Reproductive Health and Technologies
- COVID-19 Pandemic Impacts
- Prion Diseases and Protein Misfolding
- melanin and skin pigmentation
- SARS-CoV-2 detection and testing
- Virology and Viral Diseases
- Global Maternal and Child Health
- Cancer Genomics and Diagnostics
- Genomics and Chromatin Dynamics
- COVID-19 epidemiological studies
- Mosquito-borne diseases and control
- Skin and Cellular Biology Research
Phoenix (United States)
2019-2022
Healthwise
2021-2022
Creighton University
2019-2022
St. Joseph's Hospital and Medical Center
2021
Penn State Milton S. Hershey Medical Center
2017
Pennsylvania State University
2016
UCSF Helen Diller Family Comprehensive Cancer Center
2014
Somatic mutations in cancer are more frequent heterochromatic and late-replicating regions of the genome. We report that regional disparities mutation density virtually abolished within transcriptionally silent genomic cutaneous squamous cell carcinomas (cSCCs) arising an XPC−/− background. cells lack global genome nucleotide excision repair (GG-NER), thus establishing differential access DNA machinery chromatin-rich as primary cause for disparity. Strikingly, we find increasing levels...
Background The Affordable Care Act eliminated out-of-pocket costs for contraceptives, including highly effective long-acting reversible contraception (LARC), most insured women. Patient characteristics associated with new LARC uptake after the have not been well-studied. We hypothesized that awareness of no-cost intrauterine device (IUD) coverage would be use. Methods Data included were from 883 women using a at baseline who participated in MyNewOptions study, 2-year study privately...
Automated and accurate identification of refugees in healthcare databases is a critical first step to investigate needs this vulnerable population improve health disparities. In study, we developed machine-learning method, named refugee system (RIS) address need. We curated data set consisting 103 930 non-refugees Arizona. compiled de-identified individual-level information including age, primary language, noise-masked home address, state-level resettlement statistics, world language...
COVID-19 can be life-threatening to individuals with chronic diseases. To prevent severe outcomes, it is critical that we comprehend pre-existing molecular abnormalities found in common health conditions predispose patients poor prognoses. In this study, focused on 14 for which increased hazard ratios of mortality have been documented. We hypothesized dysregulated gene expression these were risk factors related death, and the magnitude dysregulation (measured by fold change) correlated...
The coronavirus disease 2019 pandemic has exposed disproportionate health inequities among underserved populations, including refugees. Public safety net healthcare systems play a critical role in facilitating access to care for refugees and informing coordinated public prevention mitigation efforts during pandemic. This study aimed evaluate the prevalence ratios of severe acute respiratory syndrome 2 infection between refugee women nonrefugee parturient patients admitted hospital delivery....
Abstract The availability of whole‐exome sequencing has revolutionized the study genetic disease in recent years, particularly dermatology, where clinical phenotypes are readily recognized. As this technology becomes increasingly affordable and accessible, questions emerging regarding ethical responsibilities physicians who determine variants underlying disease, especially with regard to children, for whom treatment may be warranted course improved based on a known genotype. These...
Abstract Background COVID-19 poses a life-threatening endangerment to individuals with chronic diseases. However, not all comorbidities affect prognosis equally. Some increase the risk of related death by more than six folds while others show little no impact. To prevent severe outcomes, it is critical that we comprehend pre-existing molecular abnormalities in common health conditions predispose patients poor prognoses. In this study, aim discover some these factors associating gene...
Proactive management of SARS-CoV-2 requires timely and complete population data to track the evolution virus identify at risk populations. However, many cases are asymptomatic not easily discovered through traditional testing efforts. Sentinel surveillance can be used estimate prevalence infections for geographical areas but identification sentinels who representative larger population. Our goal is evaluate applicability a labor delivery patients sentinel system monitoring infection. We...
Proactive management of SARS-CoV-2 requires timely and complete population data to track the evolution virus identify at risk populations. However, many cases are asymptomatic not easily discovered through traditional testing efforts. Sentinel surveillance can be used estimate prevalence infections for geographical areas but identification sentinels who representative larger population. Our goal is evaluate applicability a labor delivery patients sentinel system monitoring infection. We...
ABSTRACT Objective Automated and accurate identification of refugees in healthcare databases is a critical first step to investigate needs this vulnerable population improve health disparities. This study developed machine-learning method, named refugee system (RIS) that uses features commonly collected classify non-refugees. Materials Methods We compiled curated data set consisting 103 930 non-refugees Arizona. For each person the set, we age, primary language, noise-masked home address....