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Full-Text Articles in Medical Specialties
Stress And Anxiety Among Physicians And Nurses In Romania During The Covid-19 Pandemic, Romina-Marina Sima, Octavian-Gabriel Olaru, Anca Cazaceanu, Cristian Scheau, Mihai-Traian Dimitriu, Mihai Popescu, Liana Ples
Stress And Anxiety Among Physicians And Nurses In Romania During The Covid-19 Pandemic, Romina-Marina Sima, Octavian-Gabriel Olaru, Anca Cazaceanu, Cristian Scheau, Mihai-Traian Dimitriu, Mihai Popescu, Liana Ples
Journal of Mind and Medical Sciences
Objective. This study aimed at identifying the stress and anxiety levels among physicians and nurses working in Romanian hospitals during the COVID-19 pandemic. Methods and Results. We conducted an online survey with a questionnaire completed by 169 healthcare providers aged between 25 and 69 years from COVID and non-COVID hospitals. There were 87.6% physicians and 12.4% nurses, with 61.5% women and 38.5% men. Clinicians experienced high levels of stress in 2.7% of the cases, medium stress in 68.9% of the cases, and low stress in 28.4% of the cases. Women experienced more stress (2.9% high level, 66.3% medium level) than …
Classification Of Dengue Illness Based On Readily Available Laboratory Data, James Potts, Stephen Thomas, Anon Srikiatkhachorn, Pra-On Supradish, Wenjun Li, Ananda Nisalak, Suchitra Nimmannitya, Timothy Endy, Daniel Libraty, Robert Gibbons, Sharone Green, Alan Rothman, Siripen Kalayanarooj
Classification Of Dengue Illness Based On Readily Available Laboratory Data, James Potts, Stephen Thomas, Anon Srikiatkhachorn, Pra-On Supradish, Wenjun Li, Ananda Nisalak, Suchitra Nimmannitya, Timothy Endy, Daniel Libraty, Robert Gibbons, Sharone Green, Alan Rothman, Siripen Kalayanarooj
Sharone Green
The aim of this study was to examine retrospective dengue-illness classification using only clinical laboratory data, without relying on X-ray, ultrasound, or percent hemoconcentration. We analyzed data from a study of children who presented with acute febrile illness to two hospitals in Thailand. Multivariable logistic regression models were used to distinguish: (1) dengue hemorrhagic fever (DHF) versus dengue fever (DF), (2) DHF versus DF + other febrile illness (OFI), (3) dengue versus OFI, and (4) severe dengue versus non-severe dengue + OFI. Data from the second hospital served as a validation set. There were 1,227 patients in the analysis. The …
Classification Of Dengue Illness Based On Readily Available Laboratory Data, James Potts, Stephen Thomas, Anon Srikiatkhachorn, Pra-On Supradish, Wenjun Li, Ananda Nisalak, Suchitra Nimmannitya, Timothy Endy, Daniel Libraty, Robert Gibbons, Sharone Green, Alan Rothman, Siripen Kalayanarooj
Classification Of Dengue Illness Based On Readily Available Laboratory Data, James Potts, Stephen Thomas, Anon Srikiatkhachorn, Pra-On Supradish, Wenjun Li, Ananda Nisalak, Suchitra Nimmannitya, Timothy Endy, Daniel Libraty, Robert Gibbons, Sharone Green, Alan Rothman, Siripen Kalayanarooj
Alan Rothman
The aim of this study was to examine retrospective dengue-illness classification using only clinical laboratory data, without relying on X-ray, ultrasound, or percent hemoconcentration. We analyzed data from a study of children who presented with acute febrile illness to two hospitals in Thailand. Multivariable logistic regression models were used to distinguish: (1) dengue hemorrhagic fever (DHF) versus dengue fever (DF), (2) DHF versus DF + other febrile illness (OFI), (3) dengue versus OFI, and (4) severe dengue versus non-severe dengue + OFI. Data from the second hospital served as a validation set. There were 1,227 patients in the analysis. The …