Magnitude and Time Trend of Acute Respiratory Infections (Aris) Among Male School Students and Employees in Aleith

A setting-based descriptive study was conducted to study magnitude and time trend of acute respiratory infections (ARIs) among male school students and employees in Aleith. Data about Acute Respiratory Infections (ARIs) among school students and employees in Aleith during the last three years were collected by reviewing monthly and annual reports in school health units. The proportion of acute reparatory infections in the last three years among male student and employees in Aleith was high in year 1435 which was 50.2%, followed by the year 1437 which was 47% and 1436 was 43.3%. The time distribution of acute respiratory infections illustrates that the percentage of infection occurred during Jumada-Al-Thani (21.9%) in the year 1435, Moharam and Rabi-Al-Thani (17.3%) in the year 1436 and Jumada-Al-Awwal (18%) in the year 1437. In the year 1435, acute respiratory infection among student was 811(63.7%) and among employees was 462 (36.3%); in the year 1436, the disease was 1177 (71.4%) in students while in employees was 471 (28.6%) and in the year1437, the percentage was 747(64.7%) in students and 408(35.3%) in employees. The high percentages of Acute Respiratory Infections (ARIs) occurred among primary school students was high 35.6%, 45.5% and 48.1% in the years 1435, 1436 and 1437 respectively. The peak of ARIs occurred during the year 1435 and the minimum proportion rate of cases was found in 1436. The study concluded that ARIs were still high and more frequent in winter months

Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets

Masader (Alyafeai et al., 2021) created a metadata structure to be used for cataloguing Arabic NLP datasets. However, developing an easy way to explore such a catalogue is a challenging task. In order to give the optimal experience for users and researchers exploring the catalogue, several design and user experience challenges must be resolved. Furthermore, user interactions with the website may provide an easy approach to improve the catalogue. In this paper, we introduce Masader Plus, a web interface for users to browse Masader. We demonstrate data exploration, filtration, and a simple API that allows users to examine datasets from the backend. Masader Plus can be explored using this link https://arbml.github.io/masader. A video recording explaining the interface can be found here https://www.youtube.com/watch?v=SEtdlSeqchk