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| http://dx.doi.org/10.1016/S1473-3099(20)30297-8 | DOI Listing |
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Monitoring SARS-CoV-2 variants with complementary surveillance systems: risk evaluation of the Omicron JN.1 variant in France, August 2023 to January 2024.
Euro Surveill
January 2025
National Reference Center for Respiratory Viruses, Hospices Civils de Lyon, CIRI, INSERM U1111, University Claude Bernard Lyon 1, Lyon, France.
BackgroundEarly detection and characterisation of SARS-CoV-2 variants have been and continue to be essential for assessing their public health impact. In August 2023, Santé publique France implemented enhanced surveillance for BA.2.
View Article and Find Full Text PDFDevelopment of a diagnostic multivariable prediction model of a positive SARS-CoV-2 RT-PCR result in healthcare workers with suspected SARS-CoV-2 infection in hospital settings.
PLoS One
December 2024
Clínica Colsanitas and Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia.
Background: Despite declining COVID-19 incidence, healthcare workers (HCWs) still face an elevated risk of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection. We developed a diagnostic multivariate model to predict positive reverse transcription polymerase chain reaction (RT-PCR) results in HCWs with suspected SARS-CoV-2 infection.
Methods: We conducted a cross-sectional study on episodes involving suspected SARS-CoV-2 symptoms or close contact among HCWs in Bogotá, Colombia.
[Clinical presentation and diagnosis of Parkinson's disease in patients with schizophrenia spectrum disorders].
Zh Nevrol Psikhiatr Im S S Korsakova
December 2024
Central State Medical Academy, Moscow, Russia.
Objective: To study the features of the clinical picture and diagnosis of Parkinson's disease (PD) in patients with schizophrenia spectrum disorders (SSD).
Material And Methods: The analysis of databases of four psychoneurological dispensaries in Moscow with the allocation of groups of patients with diagnoses of SSD (F20-F25 according to ICD-10) was carried out. Among these groups, a targeted search for patients with an established diagnosis of PD (G20) was conducted.
Genome-wide Machine Learning Analysis of Anosmia and Ageusia with COVID-19.
medRxiv
December 2024
Interdisciplinary Graduate Program in Genetics, University of Iowa, Iowa City, IA 52242, USA.
The COVID-19 pandemic has caused substantial worldwide disruptions in health, economy, and society, manifesting symptoms such as loss of smell (anosmia) and loss of taste (ageusia), that can result in prolonged sensory impairment. Establishing the host genetic etiology of anosmia and ageusia in COVID-19 will aid in the overall understanding of the sensorineural aspect of the disease and contribute to possible treatments or cures. By using human genome sequencing data from the University of Iowa (UI) COVID-19 cohort (N=187) and the National Institute of Health All of Us (AoU) Research Program COVID-19 cohort (N=947), we investigated the genetics of anosmia and/or ageusia by employing feature selection techniques to construct a novel variant and gene prioritization pipeline, utilizing machine learning methods for the classification of patients.
View Article and Find Full Text PDFOlfactory dysfunction in COVID-19; Self-report or olfactory dysfunction test?
Caspian J Intern Med
October 2024
Mobility Impairment Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Article Synopsis
- - Researchers examined the differences between self-reported smell disorders and those identified through specific tests in COVID-19 patients, reviewing 554 studies from late 2019 to 2020 using systematic methods to categorize findings.
- - Out of the analyzed studies, 80% relied on patient self-reports regarding olfactory dysfunction, while only 20% utilized specific tests; the results showed a broad range of prevalence in self-reported cases (20%-97%) compared to a much higher incidence of anosmia (65%-98%) in those tested.
- - The study concluded that while self-reporting is convenient and cost-effective, standardized tests yield more reliable results, highlighting the need for precise screening methods in assessing COVID-19 related
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