Objective: A multicentric, cross-sectional study was carried out to determine the prevalence and risk factors for Coronavirus disease 2019 in medical students and residents from four universities and affiliated hospitals in Brazil.

Methods: A survey about contamination risk and symptoms was sent to all participants through email and WhatsApp. Prevalence was measured by the self-report of positive polymerase chain reaction or serological test. Univariate and multivariate analyses were performed, and odds ratio and 95% confidence interval were calculated.

Results: Prevalence of infection by Sars-CoV-2 was 14.9% (151/1011). The disease was more prevalent in residents and interns than in undergraduate students. Contact with an infected relative outside the hospital or with colleagues without using personal protective equipment was associated with higher contamination. Contact with patients without wearing goggles and higher weekly frequency of contact were the two factors independently associated with the infection by Coronavirus disease 2019 in the multivariate analysis.

Conclusions: Medical students, interns, and residents have a higher prevalence of Coronavirus disease 2019 than the general population, in which the last two groups are significantly at higher risk. Contacting patients at a higher weekly frequency increases the risk for infection. The use of goggles should be reinforced when contacting patients.

Download full-text PDF

Source
http://dx.doi.org/10.1590/1806-9282.20211114DOI Listing

Publication Analysis

Top Keywords

coronavirus disease
12
disease 2019
12
medical students
8
higher weekly
8
weekly frequency
8
contacting patients
8
prevalence
5
higher
5
prevalence covid-19
4
covid-19 medical
4

Similar Publications

Pathophysiological Significance of α-Synuclein in Sympathetic Nerves: In Vivo Observations.

Neurology

February 2025

From the Autonomic Medicine Section, Clinical Neurosciences Program, Division of Intramural Research, National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD.

Background And Objectives: Lewy body diseases (LBDs) such as Parkinson disease (PD) feature increased deposition of α-synuclein (α-syn) in cutaneous sympathetic noradrenergic nerves. The pathophysiologic significance of sympathetic intraneuronal α-syn is unclear. We reviewed data about immunoreactive α-syn, tyrosine hydroxylase (TH, a marker of catecholaminergic fibers), and the sympathetic neurotransmitter norepinephrine (NE) in skin biopsies from control participants and patients with PD, the related LBD pure autonomic failure (PAF), the non-LBD synucleinopathy multiple system atrophy (MSA), or neurologic postacute sequelae of severe acute respiratory syndrome coronavirus 2 (neuro-PASC).

View Article and Find Full Text PDF

Detection of SARS-CoV-2 and a possible variant in shelter cats.

PLoS One

January 2025

Arizona Humane Society, Phoenix, Arizona, United States of America.

SARS-CoV-2 is the cause of mild to severe acute respiratory disease that led to significant loss of human lives worldwide between 2019 and 2022. The virus has been detected in various animals including cats and dogs making it a major public health concern and a One Health issue. In this study, conjunctival and pharyngeal swabs (n = 350) and serum samples (n = 350) were collected between July and December 2020 from cats that were housed in an animal shelter and tested for the infection of SARS-CoV-2 using real time reverse-transcription polymerase chain reaction (rRT-PCR) that targeted the N1 and N2 genes, and a SARS-CoV-2 surrogate virus neutralization Test (sVNT), respectively.

View Article and Find Full Text PDF

Long COVID and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) patients share similar symptoms including post-exertional malaise, neurocognitive impairment, and memory loss. The neurocognitive impairment in both conditions might be linked to alterations in the hippocampal subfields. Therefore, this study compared alterations in hippocampal subfields of 17 long COVID, 29 ME/CFS patients, and 15 healthy controls (HC).

View Article and Find Full Text PDF

We have carried out spectral analysis of coronavirus disease 2019 (COVID-19) notifications in all 47 prefectures in Japan. The results confirm that the power spectral densities (PSDs) of the data from each prefecture show exponential characteristics, which are universally observed in the PSDs of time series generated by nonlinear dynamical systems, such as the susceptible/exposed/infectious/recovered (SEIR) epidemic model. The exponential gradient increases with the population size.

View Article and Find Full Text PDF

Respiratory diseases represent a significant healthcare burden, as evidenced by the devastating impact of COVID-19. Biophysical models offer the possibility to anticipate system behavior and provide insights into physiological functions, advancements which are comparatively and notably nascent when it comes to pulmonary mechanics research. In this context, an Inverse Finite Element Analysis (IFEA) pipeline is developed to construct the first continuously ventilated three-dimensional structurally representative pulmonary model informed by both organ- and tissue-level breathing experiments from a cadaveric human lung.

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!