ARTIs have a huge impact in health systems in which 20-30% of all hospital admissions and 30-60% of practitioner visits are related to respiratory tract infections. The aim of this study is to determine the prevalence, age distribution, and seasonal variation of respiratory viruses. This study was descriptive retrospective study in which all patients 14 years of age and below who presented with signs and symptoms of ARTIs between January 2013 and December 2014 and had respiratory specimen tested by direct immunofluorescence assays for viruses identification were included in the study. During that period, a total of 4611 patients who presented with ARTIs from January 2013 to December 2014 were investigated, viruses were detected in 1115 (24%). RSV was associated with 97.4% of the total viral pathogens. Viruses were detected throughout all the two years with a peak in winter; Dec (n: 265), Jan (n: 418), Feb (n: 218), and Mar (n: 109). Viral pathogens are very important cause of ARTIs in our region. RSV was the most common virus detected with the highest detection rate in children who are two years old and below. A multi-center surveillance with more sensitive detection methods like PCR may help to provide a comprehensive understanding of virus distribution in our area, which may contribute implant an effective prevention approach for each virus.
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http://dx.doi.org/10.1016/j.jiph.2017.06.001 | DOI Listing |
Sensors (Basel)
January 2025
Department of Computer Science, Faculty of Sciences and Humanities Sciences, Majmaah University, Al Majmaah 11952, Saudi Arabia.
Impedance-based biosensing has emerged as a critical technology for high-sensitivity biomolecular detection, yet traditional approaches often rely on bulky, costly impedance analyzers, limiting their portability and usability in point-of-care applications. Addressing these limitations, this paper proposes an advanced biosensing system integrating a Silicon Nanowire Field-Effect Transistor (SiNW-FET) biosensor with a high-gain amplification circuit and a 1D Convolutional Neural Network (CNN) implemented on FPGA hardware. This attempt combines SiNW-FET biosensing technology with FPGA-implemented deep learning noise reduction, creating a compact system capable of real-time viral detection with minimal computational latency.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Electronics and Communication Engineering, SRM University, Guntur 522240, Andhra Pradesh, India.
We propose herein a metamaterial (MM) dual-band THz sensor for various biomedical sensing applications. An MM is a material engineered to have a particular property that is rarely observed in naturally occurring materials with an aperiodic subwavelength arrangement. MM properties across a wide range of frequencies, like high sensitivity and quality factors, remain challenging to obtain.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Biomedicine Research Center of Strasbourg (CRBS), UR 3072, "Mitochondria, Oxidative Stress and Muscle Plasticity", Faculty of Medicine, University of Strasbourg, 67000 Strasbourg, France.
The continuous monitoring of oxygen saturation (SpO) and respiratory rates (RRs) are major clinical issues in many cardio-respiratory diseases and have been of tremendous importance during the COVID-19 pandemic. The early detection of hypoxemia was crucial since it precedes significant complications, and SpO follow-up allowed early hospital discharge in patients needing oxygen therapy. Nevertheless, fingertip devices showed some practical limitations.
View Article and Find Full Text PDFSensors (Basel)
December 2024
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China.
IoT (Internet of Things) networks are vulnerable to network viruses and botnets, while facing serious network security issues. The prediction of payload states in IoT networks can detect network attacks and achieve early warning and rapid response to prevent potential threats. Due to the instability and packet loss of communications between victim network nodes, the constructed protocol state machines of existing state prediction schemes are inaccurate.
View Article and Find Full Text PDFNutrients
December 2024
Department of Endocrinology and Nutrition, Virgen de la Victoria Hospital University Hospital, 29010 Málaga, Spain.
Background And Objectives: the COVID-19 pandemic underscored the necessity of understanding the factors influencing susceptibility and disease severity, as well as a better recovery of functional status, especially in postcritical patients. evidence regarding the efficacy of vitamin D supplementation in reducing the severity of COVID-19 is still insufficient due to the lack of primary robust trial-based data and heterogeneous study designs. the principal aims of our study were to determine the impact of vitamin D deficiency or insufficiency on complications during intensive care unit (icu) stay, as well as its role in muscle mass and strength improvement as well as morphofunctional recovery during a multispecialty 6-month follow-up program based on adapted nutritional support and specific physical rehabilitation.
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