Coexistence of Ophthalmic Shingles and COVID-19 in a Patient Who Applied with Encephalitis Clinic

Varicella zoster virus (VZV) is a member of the herpes virus family and is the causative agent of chickenpox and shingles. While chickenpox, which is the primary infection, is mostly seen in childhood, shingles is located latently in the dorsal root sensory ganglia and cranial nerve ganglia, causing recurrent attacks in adulthood. Shingles may rarely present with neurological complications such as encephalitis. Many diseases are seen in the coexistence of Coronavirus disease-2019 (COVID-19) due to the pandemic. In this case report, it was aimed to draw attention to the ophthalmic varicella zoster virus infection with a different clinical onset accompanied by COVID-19 who presented with the clinic of encephalitis.

Coexistence of Ophthalmic Shingles and COVID-19 in a Patient Who Applied with Encephalitis Clinic.

Varicella zoster virus (VZV) is a member of the herpes virus family and is the causative agent of chickenpox and shingles. While chickenpox, which is the primary infection, is mostly seen in childhood, shingles is located latently in the dorsal root sensory ganglia and cranial nerve ganglia, causing recurrent attacks in adulthood. Shingles may rarely present with neurological complications such as encephalitis. Many diseases are seen in the coexistence of Coronavirus disease-2019 (COVID-19) due to the pandemic. In this case report, it was aimed to draw attention to the ophthalmic varicella zoster virus infection with a different clinical onset accompanied by COVID-19 who presented with the clinic of encephalitis.Copyright © 2023 Bilimsel Tip Yayinevi. All rights reserved.

Performance Comparison of Oral, Laryngeal and Thoracic Sounds in the Detection of COVID-19 by Employing Machine Learning Techniques

COVID-19 can directly or indirectly cause lung involvements by crossing the upper airways. It is essential to quickly detect the lung involvement condition and to follow up and treat these patients by early hospitalization. In recent COVID-19 diagnosis procedure, PCR testing is applied to the samples taken from the patients and a quarantine period is applied to the patient until the test results are received. As a complement to PCR tests and for faster diagnosis, thin-section lung computed tomography (CT) imaging is used in COVID-19 patients. In this study, it is aimed to develop a method that is as reliable as CT, and compared to CT, less risky, more accessible, and less costly for the diagnosis of COVID-19 disease. For this purpose, first speech and cough sounds from the oral, laryngeal and thoracic regions of COVID-19 patients and healthy individuals were obtained with the multi-channel voice recording system we proposed, the obtained data were processed with machine learning methods and their accuracies in COVID-19 diagnosis were presented comparatively. In our study, the best results were obtained with the features extracted from the cough sounds taken from the oral region. © 2022 IEEE.