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The prevalence of patients admitted to intensive care units (ICUs) with SARS-CoV-2 infection who were prescribed antibiotics is undetermined and might contribute to the increased global antibiotic resistance. This systematic review evaluates the prevalence of antibiotic prescribing in patients admitted to ICUs with SARS-CoV-2 infection using PRISMA guidelines. We searched and scrutinized results from PubMed and ScienceDirect databases for published literature restricted to the English language up to 11 May 2021. In addition, we included observational studies of humans with laboratory-confirmed SARS-CoV-2 infection, clinical characteristics, and antibiotics prescribed for ICU patients with SARS-CoV-2 infections. A total of 361 studies were identified, but only 38 were included in the final analysis. Antibiotic prescribing data were available from 2715 patients, of which prevalence of 71% was reported in old age patients with a mean age of 62.7 years. From the reported studies, third generation cephalosporin had the highest frequency amongst reviewed studies (36.8%) followed by azithromycin (34.2%). The estimated bacterial infection in 12 reported studies was 30.8% produced by 15 different bacterial species, and S. aureus recorded the highest bacterial infection (75%). The fundamental outcomes were the prevalence of ICU COVID-19 patients prescribed antibiotics stratified by age, type of antibiotics prescribed, and the presence of co-infections and comorbidities. In conclusion, more than half of ICU patients with SARS-CoV-2 infection received antibiotics, and prescribing is significantly higher than the estimated frequency of identified bacterial co-infection.

: Antimicrobial resistance (AMR) is a global threat that extends beyond clinical settings, impacting animals, food, and the environment. To the best of our knowledge, this review presents the first systematic evaluation of AMR and antimicrobial resistance genes (ARGs) in non-human sources in Qatar, using a One Health framework. : Following PRISMA 2020 guidelines, we searched five major databases: PubMed, Scopus, Web of Science, Embase, Google Scholar (only 3 pages) and QRDI, without date restrictions for studies on AMR and ARGs in animals, food, and environmental sources in Qatar. Only primary studies from Qatar reporting phenotypic or genotypic AMR/ARG data in animals, food, or the environment were included; all human-focused, non-Qatar, or non-primary research were excluded. Eligible studies were screened and analyzed using GraphPad Prism 10.4 and StatsDirect, applying random- or fixed-effects models based on heterogeneity and assessed for quality using the JBI checklist for prevalence. : Fifteen eligible studies published up to 2025 were included. was the most frequently reported organism. High resistance rates were observed in the Access group antibiotics, such as ampicillin (0.50; 95% CI: 0.47-0.53) and tetracycline (0.50; 95% CI: 0.45-0.55), as well as in the Watch group antibiotics, including ciprofloxacin (0.40; 95% CI: 0.36-0.44) and fosfomycin (0.26; 95% CI: 0.20-0.32). Resistance to Reserve group antibiotics was comparatively lower, with pooled estimates of 0.14 (95% CI: 0.08-0.20) for colistin and 0.11 (95% CI: 0.05-0.25) for carbapenems, though lower, remains concerning. The overall pooled estimate for multidrug resistance (MDR) was 0.56 (95% CI: 0.36-0.72), and poultry was identified as the main reservoir, particularly to Critically Important Antimicrobials (CIAs). ARGs, including , , , and , were detected across all sectors, with wastewater showing a notable ARG burden. Data on other livestock species remain limited. Limitations include a few studies, variable quality, and inconsistent methods affecting comparability and precision. This review highlights significant AMR and ARG prevalence in non-human sources in Qatar and underscores the urgent need for a national One Health surveillance strategy incorporating WHO AWaRe and CIA frameworks to address this escalating public health threat.

The kinase suppressor of Ras 2 (KSR2) gene is associated with monogenic obesity, and loss-of-function variants in KSR2 have been identified in individuals with severe early-onset obesity. This study investigated KSR2 variants in 9 pediatric patients with severe early-onset obesity in Qatar using whole genome sequencing among a cohort of 240 individuals. We focused on KSR2 variants with a minor allele frequency (MAF) below 1% and a Combined Annotation Dependent Depletion (CADD) score above 13 to identify potential causative variants. Our analysis identified four KSR2 variants: one intronic (c.1765-8G>A) and three missense variants (c.1057G>A, c.1673G>A, and c.923T>C) in nine patients. The intronic variant c.1765-8G>A was the most frequent (seen in six individuals) and had a CADD score of 21.10, suggesting possible pathogenicity. This variant showed a significantly higher allele frequency in the Qatari population compared to the Genome Aggregation Database (gnomAD), indicating a possible founder effect. Molecular modeling of the missense variants revealed structural changes in the protein structure. The study concludes that these four KSR2 variants are associated with monogenic obesity, with an autosomal dominant inheritance pattern. The c.1765-8G>A variant’s prevalence in Qatar underscores its importance in genetic screening for severe obesity. This research advances the understanding of genetic factors in severe early-onset obesity and may inform better management strategies.

Jordan is one of the lowest countries in the world in terms of water resources. The reuse of treated wastewater is an important alternative to supply agricultural demands for water. In Jordan, Kherbet Al-Samra wastewater treatment plant (KSWWTP) is the largest and its effluent is mainly used for irrigation purposes. In this study, bacterial contamination and mutagenic potential were evaluated in six sites, beginning with KSWWTP and ending with King Tallal Dam. The results showed high contamination with many pathogenic bacteria and coliforms. The isolated pathogenic bacteria were Salmonella sp., Shigella sp., Bacillus cereus and Staphylococcus aureus. The isolated opportunistic pathogenic bacteria were Acinetobacter lwoffii, Elizabethkingia meningosepticum, Pseudomonas fluorescens and Bacillus licheniformis. These bacteria were found in all sampling sites without a specific prevalence pattern. Differences in temperature between seasons affect total coliform and other bacterial count. All water samples showed positive mutagenic activity and high bacterial pollution. Improving the disinfection efficiency in the wastewater treatment plant is important to minimize potential toxicity and exposure of public health to pathogenic bacteria, reduce water resources' contamination and environmental pollution. Increasing effluent sampling frequency from KSWWTP is required to monitor bacterial contamination and toxicity/mutagenicity level for water safety and public health risk assessments.

Airborne bacteria pose a potential risk to human health upon inhalation in the indoor environments of health care facilities. Airborne bacteria may originate from various sources, including patients, workers, and daily visitors. Hence, this study investigates the quantity, size, and identification of airborne bacteria indoors and outdoors of four Primary Health Care Centers (PHCC) in Doha, Qatar. Air samples were collected from the lobby, triage room, and outside environment of the centers, including, Qatar University (QU-HC), Al-Rayyan (AR-HC), Umm-Ghuwailina (UG-HC), and Old Airport (OA-HC) between August 2020 and March 2021, throughout both the hot and the cold seasons. Samples were collected using an Anderson six-stage cascade impactor. The mean of the total colony-forming units was calculated per cubic meter of air (CFU/m3). QU-HC had the lowest mean of total bacterial count compared with other centers in the indoor and outdoor areas with 100.4 and 99.6 CFU/m3, respectively. In contrast, AR-HC had the highest level, with 459 CFU/m3 indoors, while OA-HC recorded the highest bacterial concentration of the outdoor areas with a total mean 377 CFU/m3. In addition, 16S rRNA sequencing was performed for genera identification. Staphylococcus, Acinetobacter, Bacillus, and Pseudomonas were the four most frequently identified bacterial genera in this study. The abundance of airborne bacteria in the four health centers was higher in the cold season. About 46% of the total airborne bacterial count for three PHCC centers exceeded 300 CFU/m3, making them uncompliant with the World Health Organization’s (WHO) recommendation for indoor settings. Consequently, an IAQ standards should be shaped to establish a baseline for measuring air pollution in Qatar. Additionally, it is crucial to understand seasonal fluctuations better so that hospitals can avoid rising and spreading infection peaks.