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1.
Hepat Med ; 15: 233-247, 2023.
Artículo en Inglés | MEDLINE | ID: mdl-38146425

RESUMEN

Background: This study describes the epidemiological pattern of acute hepatitis B virus (HBV) infection in Saudi Arabia from 2006 to 2021. It explores case frequency and the crude incidence rate (CIR) by year of diagnosis, age group, region, gender, and nationality of patients. Methods: Retrospective data on acute hepatitis B cases diagnosed across 20 regions of Saudi Arabia during January 2006 to December 2021 were obtained from the Saudi Ministry of Health's Statistical Yearbook. Statistical analyses were conducted using SPSS version 20.0, employing both parametric and non-parametric tests. Results: The highest CIR was reported in the regions of Qunfudah, Jeddah, Tabuk, and Taif (28.6, 25.2, 25.1, and 23.4 per 100,000 people). In contrast, the lowest CIR was documented in the regions of Hail, Qurayyat, Jouf, and Hafr AL-Baten (3.6, 3.5, 2.9, and 1.2 per 100,000 people). Incidence rates were notably elevated in those aged 45 years and above (30.6 per 100,000 individuals), followed by the 15-44 age group (14.2 per 100,000 individuals), and were lowest in children aged 0-14 years (0.8 per 100,000 individuals). Regarding gender differences, HBV infection rates were 1.4 times higher in Saudi males than females and 2.2 times higher in non-Saudi males compared to females. Overall, Saudi nationals had a 4.2 times higher HBV infection rate than non-Saudis during the study period. Conclusion: This study highlights diverse acute Hepatitis B infection rates across Saudi regions, with higher rates in Qunfudah, Jeddah, Tabuk, and Taif, and lower rates in Hail, Qurayyat, Jouf, and Hafr AL-Baten. Predominance among ages 45+, followed by 15-44, and lowest in 0-14 age groups was observed. Gender variations showed notably higher rates in Saudi and non-Saudi males. The notably higher prevalence among Saudi nationals implies key considerations for public health strategies.

2.
Sensors (Basel) ; 22(19)2022 Sep 22.
Artículo en Inglés | MEDLINE | ID: mdl-36236287

RESUMEN

The automation of water leakage detection and monitoring systems has recently been made possible by the Internet of Things (IoT). However, the high cost is an obstacle when applying a network over a large area. The Low-Power Wide-Area Network (LPWAN) was created specifically to address long-range IoT applications. The Long-Range Wide-Area Network (LoRaWAN) is one of the most common LPWANs. In this study, a method for monitoring and detecting water leakage in a housing complex was tested using LoRaWAN. Water leakage was detected using a low-pressure system model comprising a water meter, presser sensor, and smart valve within a LoRa node. This study investigates the use of LoRaWAN for water monitoring and leakage detection by implementing a comprehensive case study to identify LoRaWAN's feasibility, reliability, and scalability for water monitoring and leakage detection in simulated scenarios. The housing complex varied in size and number of nodes. The LoRaWAN was evaluated by the FloRa simulator package through the Objective Modular Network Testbed (OMNeT++) platform. The results indicated that it was an efficient means of water monitoring and leakage detection in housing complexes.


Asunto(s)
Atención a la Salud , Vivienda , Monitoreo Fisiológico/métodos , Reproducibilidad de los Resultados , Agua
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