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Fulltext A novel state space reduction algorithm for team formation in social networks

Rehman MZ, Zamli KZ, Almutairi M, Chiroma H, Aamir M, Kader MA, et al.

PLoS One, 2021;16(12):e0259786.
PMID: 34855771 DOI: 10.1371/journal.pone.0259786

Team formation (TF) in social networks exploits graphs (i.e., vertices = experts and edges = skills) to represent a possible collaboration between the experts. These networks lead us towards building cost-effective research teams irrespective of the geolocation of the experts and the size of the dataset. Previously, large datasets were not closely inspected for the large-scale distributions & relationships among the researchers, resulting in the algorithms failing to scale well on the data. Therefore, this paper presents a novel TF algorithm for expert team formation called SSR-TF based on two metrics; communication cost and graph reduction, that will become a basis for future TF's. In SSR-TF, communication cost finds the possibility of collaboration between researchers. The graph reduction scales the large data to only appropriate skills and the experts, resulting in real-time extraction of experts for collaboration. This approach is tested on five organic and benchmark datasets, i.e., UMP, DBLP, ACM, IMDB, and Bibsonomy. The SSR-TF algorithm is able to build cost-effective teams with the most appropriate experts-resulting in the formation of more communicative teams with high expertise levels.
Fulltext Prevalence of Tobacco Smoking and Associated Risk Factors Among Public Sector Employees in Kuwait: A Cross-Sectional Study

Soliman D, Akram SA, AlMutairi A, AlShammari K, Al Hubaidah M, AlMaayoufi M, et al.

Cureus, 2023 Mar;15(3):e35925.
PMID: 37038574 DOI: 10.7759/cureus.35925

Introduction There needs to be more evidence about the tobacco products utilized by individuals who smoke and the primary determinants contributing to the development of smoking behavior. Our study aimed to assess the prevalence and factors associated with using one or more tobacco products among employees from various ministries in Kuwait. Methods A cross-sectional study was conducted among employees in different ministries in Kuwait from December 27, 2018, to January 3, 2019. A questionnaire about smoking status and socio-demographic variables was used. Results There was a total of 1057 participants in this study. Of the participants, 26% (n=275) reported using at least one tobacco product. The proportion of smoking of at least one tobacco product was higher among men (n=243, 46.5%) than women (n=32, 6%). Among smokers, 1.5%, 5.9%, and 18.6% reportedly use only three, two, and one tobacco products, respectively. Of the study participants, 26% were smokers, 20.3% were exclusively cigarette smokers, and 21.8% reportedly started cigarette smoking at the age of 15 years or less. Male compared to female workers had higher odds of being smokers of at least one tobacco product (adjusted OR= 15.3, 95% CI= 10.0-23.4). Participants were significantly (p= 0.009) more likely to use at least one tobacco product if their monthly income in Kuwaiti Dinars ranged from 501-1000 KD (adjusted OR= 1.9, 95% CI= 1.2-3.0) or 1501-2000 KD (adjusted OR= 2.3, 95% CI= 1.2-4.5) compared to those who had monthly income range 500 KD or less. Conclusion The male gender and high income of the participants were significant predictors of the use of at least one tobacco product. Anti-smoking campaigns, mass media interventions, and increasing tobacco product taxes may minimize this population's tobacco consumption.
Fulltext Severity of COVID-19 infection in ACEI/ARB users in specialty hospitals: A retrospective cohort study

Alrashed AA, Khan TM, Alhusseini NK, Asdaq SMB, Enani M, Alosaimi B, et al.

J Infect Public Health, 2021 Jun;14(6):726-733.
PMID: 34020213 DOI: 10.1016/j.jiph.2021.03.004

BACKGROUND: The uncertainty about COVID-19 outcomes in angiotensin-converting enzyme inhibitors (ACEI)/angiotensin receptor blockers (ARB) users continues with contradictory findings. This study aimed to determine the effect of ACEI/ARB use in patients with severe COVID-19.
METHODS: This retrospective cohort study was done in two Saudi public specialty hospitals designated as COVID-19 referral facilities. We included 354 patients with a confirmed diagnosis of COVID-19 between April and June 2020, of which 146 were ACEI/ARB users and 208 were non-ACEI/ARB users. Controlling for confounders, we conducted multivariate logistic regression and sensitivity analyses using propensity score matching (PSM) and Inverse propensity score weighting (IPSW) for high-risk patient subsets.
RESULTS: Compared to non-ACEI/ARB users, ACEI/ARB users had an eight-fold higher risk of developing critical or severe COVID-19 (OR = 8.25, 95%CI = 3.32-20.53); a nearly 7-fold higher risk of intensive care unit (ICU) admission (OR = 6.76, 95%CI = 2.88-15.89) and a nearly 5-fold higher risk of requiring noninvasive ventilation (OR = 4.77,95%CI = 2.15-10.55). Patients with diabetes, hypertension, and/or renal disease had a five-fold higher risk of severe COVID-19 disease (OR = 5.40,95%CI = 2.0-14.54]. These results were confirmed in the PSM and IPSW analyses.
CONCLUSION: In general, but especially among patients with hypertension, diabetes, and/or renal disease, ACEI/ARB use is associated with a significantly higher risk of severe or critical COVID-19 disease, and ICU care.

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