Prevalence of Schistosoma infection and associated factors among pregnant women attending antenatal care at Shewa Robit Health Center, North-Central Ethiopia: a cross-sectional study.

Background: Schistosoma spp. and other intestinal parasites are common in Ethiopia. During pregnancy, SCH increases the risk of adverse birth outcomes.

Theories and Methods for Indoor Positioning Systems: A Comparative Analysis, Challenges, and Prospective Measures.

In the era of the Internet of Things (IoT), the demand for accurate positioning services has become increasingly critical, as location-based services (LBSs) depend on users' location data to deliver contextual functionalities. While the Global Positioning System (GPS) is widely regarded as the standard for outdoor localization due to its reliability and comprehensive coverage, its effectiveness in indoor positioning systems (IPSs) is limited by the inherent complexity of indoor environments. This paper examines the various measurement techniques and technological solutions that address the unique challenges posed by indoor environments.

A high prevalence of antibiotic use at two large teaching hospitals in Addis Ababa, Ethiopia: a point prevalence survey.

Objective: Antimicrobial resistance (AMR) renders many bacterial infections untreatable and results in substantial morbidity and mortality worldwide. Understanding antibiotic use in clinical settings including hospitals is critical to optimize antibiotic use and prevent resistance.

Design: Hospital antibiotic point prevalence survey (PPS).

Efficacy of albendazole against soil-transmitted helminth infections in Ethiopia: a systematic review and meta-analysis.

Soil-transmitted helminths (STH) are neglected parasites more prevalent in the tropics. Periodic mass distribution of albendazole, is one key strategy to control STHI in endemic areas. However, benzimidazoles have low efficacy against STHI, and there is a lack of information on the magnitude of the problem in Ethiopia.

Ada-LT IP: Functional Discriminant Analysis of Feature Extraction for Adaptive Long-Term Wi-Fi Indoor Localization in Evolving Environments.

Wi-Fi fingerprint-based indoor localization methods are effective in static environments but encounter challenges in dynamic, real-world scenarios due to evolving fingerprint patterns and feature spaces. This study investigates the temporal variations in signal strength over a 25-month period to enhance adaptive long-term Wi-Fi localization. Key aspects explored include the significance of signal features, the effects of sampling fluctuations, and overall accuracy measured by mean absolute error.