In the modern era, many terms related to artificial intelligence, machine learning, and deep learning are widely used in domains such as business, healthcare, industries, and military. In these fields, the accurate prediction and analysis of data are crucial, regardless of how large the data are. However, using big data is confusing due to the rapid growth and massive development in public life, which requires a tremendous human effort in order to deal with such type of data and extract worthy information from it. Thus, the role of artificial intelligence begins in analyzing big data based on scientific techniques, especially in machine learning, whereby it can identify patterns of decision-making and reduce human intervention. In this regard, the significance role of artificial intelligence, machine learning and deep learning is growing rapidly. In this article, the authors decide to highlight these sciences by discussing how to develop and apply them in many decision-making domains. In addition, the influence of artificial intelligence in healthcare and the gains this science provides in the face of the COVID-19 pandemic are highlighted. This article concludes that these sciences have a significant impact, especially in healthcare, as well as the ability to grow and improve their methodology in decision-making. Additionally, artificial intelligence is a vital science, especially in the face of COVID-19.

Background: Type 2 diabetes mellitus (T2DM) and thyroid disorders are common endocrine disorders. This case–control study aims to determine the prevalence and predictors of thyroid disorders in T2DM patients. Methods: A total of 998 T2DM patients attending a tertiary hospital were included and underwent investigations for thyroid function: thyroid-stimulating hormone (TSH), free thyroxine (FT4), and free triiodothyronine (FT3); and glycated hemoglobin (HbA1c). They were compared with 343 non-diabetic subjects as controls. Results: A total of 1341 participants were included in the study. The mean age ± SD was 60.14 ± 12.21, and 47.9% were females. Among T2DM patients, 140 (14%) were known to have thyroid disorders; and as a direct result of screening, 126 (12.6%) new cases of thyroid disorder were diagnosed. Thus, the overall prevalence of thyroid disorders was found to be 26.7% in T2DM patients which significantly higher than the controls (13.7%), (p˂0.001). Subclinical hypothyroidism was the most common one. Using logistic regression, after adjusting for age, gender, obesity, smoking, anemia, presence of goiter, disease duration, and poorly controlled, the risk factors for thyroid dysfunction among T2DM patients were an age of ≥ 50 years with an adjusted OR of 3.895 (95% CI 2.151– 7.052, p< 0.001); female gender (OR 1.757, 95% CI 1.123– 2.747, p=0.013); goiter (OR 2.904, 95% CI 1.118– 7.547, p=0.029), and HbA1c> 7% (OR 2.553, 95% CI 1.472– 4.429, p=0.001). However, there were no significant associations between thyroid disorders and complications or duration of diabetes (p> 0.050). Conclusion: A high prevalence of thyroid disorders was reported in T2DM patients. Therefore, we suggest that diabetic patients should be routinely screened for thyroid dysfunction. Old age, female gender, goiter, and poorly controlled diabetes found to be risk factors for thyroid dysfunction among T2DM patients. Consequently, appropriate management and control of diabetes may lower the risk of thyroid dysfunction and vice versa.

Sleep quality is of paramount importance for human health. This multi-site study measures the proportion and types of self-reported sleep disorders in medical students and evaluates their association with academic performance by Grade Point Average (GPA). A cross-sectional survey was conducted on medical students from two medical schools in Jordan during the 2018/2019 academic year. The study utilized the SLEEP-50 questionnaire to estimate the proportion of several sleep disorders and their effects on daily functioning. Below average GPAs were considered poor academic performance. 1041 medical students' online surveys were analyzed from two medical schools’ campuses, representing a 29.7% response rate. Their mean age was 22 ± 2.1 years (ranging from 18 to 37) and 52.6% were female. The mean body mass index was 24.2 ± 4.4 kg/m2. According to the SLEEP-50 questionnaire, the prevalence of sleep disorders among studied medical students ranged from 0.6% for sleep state misperception (SSM) to 23.1% for hypersomnia. Using binary logistic regression, after adjusting for gender and obesity, poor academic performance was associated with a risk for insomnia [adjusted odds ratio (OR) = 1.96, p < 0.001]; affective disorder [OR = 2.24, P < 0.001]; SSM [OR = 6.40, p = 0.045]; narcolepsy [OR = 9.54, p = 0.045]; and circadian rhythm disorders [OR = 2.03, p < 0.001]. Sleep disorders are common among medical students. Several sleep disorders were associated with poor academic performance. Proper diagnosis and treatment of sleep disorders may remedy this issue.

Zoonotic diseases constitute a threat to humans and animals. The Middle East Region is a hotspot for such a threat; given its geographic location under migratory birds' flight paths, mass gatherings, political conflicts, and refugee crises. Thus, prioritizing zoonotic diseases of national significance is critical for preventing and controlling such threats and optimizing limited resources. Using a multi-sectoral One Health (OH) approach, this study aimed at prioritizing zoonotic diseases of national significance to Jordan and identifying future recommendations and action plans. Zoonotic diseases of national significance to Jordan were initially identified (n = 27 diseases). In December 2019, national staff from governmental and non-state sectors were invited to develop ranking criteria, including questions and answers choices, and to weigh each criterion. Then, the national staff were asked to assess zoonotic diseases' priority using the developed criteria and provide recommendations and action plans to strengthen multi-sectoral collaboration. Seven zoonotic diseases were identified as being of great significance. Rabies was ranked as the number one priority disease, followed by middle east respiratory syndrome, avian influenza, brucellosis, leishmaniasis, rickettsiosis, and salmonellosis. The highest weighted criteria used to rank diseases were disease severity, outbreaks profile, and potential human-to-human transmission. Establishing a one-health platform, surveillance, laboratory, preparedness planning, outbreak response, and workforce were suggested as recommendations for approaching the priority diseases. Respondents identified data sharing, coordination, event-based surveillance, and effective communication channels as vital areas to enhance prevention and control strategies, conduct joint outbreak investigations, and improve multi-sectoral collaboration. This study represents the first attempt to prioritize zoonotic diseases of national significance in Jordan using the OH approach and a semi-qualitative, transparent, and comparative method. Study results can be used as a decision-making guide for policymakers and stakeholders and a cornerstone for combating zoonotic disease threats.

Al-Mistarehi AH, et al. Clin Exp Vaccine Res. 2021 May;10(2):171-182. https://doi.org/10.7774/cevr.2021.10.2.171

In March 2020, an outbreak of coronavirus 19 (COVID-19) was detected in the North of Jordan. This retrospective study is the first from Jordan to report the epidemiologic, clinical, laboratory, and radiologic characteristics of COVID-19 infected patients. All patients with laboratory-confirmed COVID-19 infection by RT-PCR in the North of Jordan admitted between March 15 and April 2, 2020 were included. The clinical features, radiological, and laboratory findings were reviewed. Of 81 patients affected, 79 (97.5%) shared a common exposure to four recent travelers from endemic areas. The mean age was 40 years. Although about half (44 [54.3%]) were females, symptomatic patients were mostly females (75%). The most common presenting symptoms were nasal congestion, sore throat and dry cough. Less than one-third (31%) had chronic diseases. Although 84% of patients reported receiving Bacille Calmette-Guérin (BCG) vaccination, more asymptomatic patients had BCG than symptomatic (p = 0.017). Almost all patients (97.5%) had an elevated D-dimer level. Erythrocyte sedimentation rate (ESR) and c-reactive protein were elevated in 50% and 42.7% of patients, respectively. High ESR found to be the predictor of abnormal chest radiograph observed in 13 (16%) patients with OR of 14.26 (95% CI 1.37–147.97, p = 0.026). An outbreak of COVID-19 infection in northern Jordan affected more females and relatively young individuals and caused mainly mild illnesses. The strict outbreak response measures applied at early stages probably contributed to the lenient nature of this outbreak, but the contribution of other factors to such variability in COVID-19 presentation is yet to be explained.