A typology of Jordanian consumers after Covid-19: The rational, the suspicious, and the cautious consumer.

This study presents a detailed typology of Jordanian consumers that identifies the effects of Covid-19 on their personal, social, and purchase and consumption patterns following the pandemic. Based on a qualitative approach using a sample of Jordanian consumers (N = 71), this study identifies three main types of consumers: the rational, suspicious, and cautious. All were distinguished by cognitive, emotional, and behavioral differences: the rational consumers viewed the pandemic as a natural occurrence, were willing to vaccinate, and took the opportunity to improve their lives and consumption behavior; the suspicious consumers viewed the pandemic as a man-made virus and refused to rationalize their behaviors and follow the social-distancing rules or vaccinate; and the cautious consumers were generally somewhere in between, and while they improved some aspects of their consumption, social, and personal lives, other aspects either remained the same or worsened. The findings have implications for managers and governmental bodies.

Machine Learning Techniques for the Identification of Risk Factors Associated with Food Insecurity among Adults in Arab countries during the COVID-19 Pandemic (preprint)

Background: A direct consequence of global warming, and strongly correlated with poor physical and mental health, food insecurity is a rising global concern associated with low dietary intake. The Coronavirus pandemic has further aggravated food insecurity among vulnerable communities, and thus has sparked the global conversation of equal food access, food distribution, and improvement of food support programs. This research was designed to identify the key features associated with food insecurity during the COVID-19 pandemic using Machine learning techniques. Seven machine learning algorithms were used in the model, which used a dataset of 32 features. The model was designed to predict food insecurity across ten Arab countries in the Gulf and Mediterranean regions. A total of 13,443 participants were extracted from the international Corona Cooking Survey conducted by 38 different countries during the COVID -19 pandemic. Results: The findings indicate that Jordanian, Palestinian, Lebanese, and Saudi Arabian respondents reported the highest rates of food insecurity in the region (15.4%,13.7%,13.7% and 11.3% respectively). On the other hand, Oman and Bahrain reported the lowest rates (5.4% and 5.5% respectively). Our model obtained accuracy levels of 70%-82% in all algorithms. Gradient Boosting and Random Forest techniques had the highest performance levels in predicting food insecurity (82% and 80% respectively). Place of residence, age, financial instability, difficulties in accessing food, and depression were found to be the most relevant features associated with food insecurity. Conclusions: Overall, ML algorithms seem to be an effective method in early detection and prediction of food insecurity. Future research would benefit from utilizing the proposed model in developing more complex and accurate models aiming to enhance granularity, with the ability to share data, to incorporate wide range of variables, and to make use of automation for effective prevention and intervention programs at the regional and individual levels.

A Patient With Schizophrenia in Remission Relapses Following COVID-19: A Case Report.

As managing COVID-19 complications has become more prevalent in psychiatry, its effects can range from provoking new illnesses in previously healthy individuals to inducing relapses in patients in remission. However, an aspect of COVID-19's influence that is not well documented is its effect on medication responsiveness. In this case, we present a 28-year-old male diagnosed with treatment-resistant schizophrenia for eight years. While in remission on a maintenance dose of clozapine, he was admitted to the hospital with signs of severe psychosis after testing positive for COVID-19. On admission, he did not have any other major stressors and no prior comorbidities that could have induced the relapse. Despite being on a higher dose of clozapine for four weeks while hospitalized, the patient's psychosis did not improve. This raises the question if his infection had altered his response to medication that previously brought on remission.

Effects of COVID-19 on STEMI Patients: Single-Center Experience.

Aim: The purpose of this study is to assess the effect of the COVID-19 pandemic on the volume of ST-elevation myocardial infarction (STEMI) patients and also to assess changes in patient characteristics, door-in-to-door-out (DIDO) time, door-to-balloon time (D2B) time, and STEMI outcomes during the pandemic. Methods: Patient data were retrieved retrospectively from the electronic medical record system of King Hamad University Hospital and Mohammed Bin Khalifa Cardiac Centre in the Kingdom of Bahrain. Data were compared and analyzed for the two time periods: before the pandemic (January 2019-March 2020) and during the pandemic (April 2020June 2021). Results: There was a decline of 11.1% in patients who presented with STEMI during the pandemic. There were no major differences between the patient demographics and the baseline characteristics during the two study periods. Recommended DIDO time and D2B time could be achieved only for 7.1% and 35.7% of all STEMI cases during the pandemic. However, no significant differences were noted in the 30 days of mortality, reinfarction, cardiogenic shock, hospital length of stay, and return to the hospital within 30 days for the STEMI patients in the two time periods. Conclusions: There was a decline in patients who presented with STEMI during the pandemic. This was also associated with a lower number of STEMI cases achieving the recommended DIDO time and D2B time as compared to the prepandemic period. However, there was no significant difference in the patient outcomes in the two time periods.

SARS-CoV-2, surgeons and surgical masks.

The exact risk association of coronavirus disease 2019 (COVID-19) for surgeons is not quantified which may be affected by their risk of exposure and individual factors. The objective of this review is to quantify the risk of COVID-19 among surgeons, and explore whether facemask can minimise the risk of COVID-19 among surgeons. A systematised review was carried out by searching MEDLINE to locate items on severe acute respiratory syndrome coronavirus 2 or COVID-19 in relation to health care workers (HCWs) especially those work in surgical specialities including surgical nurses and intensivists. Additionally, systematic reviews that assessed the effectiveness of facemask against viral respiratory infections, including COVID-19, among HCWs were identified. Data from identified articles were abstracted, synthesised and summarised. Fourteen primary studies that provided data on severe acute respiratory syndrome coronavirus 2 infection or experience among surgeons and 11 systematic reviews that provided evidence of the effectiveness of facemask (and other personal protective equipment) were summarised. Although the risk of COVID-19 could not be quantified precisely among surgeons, about 14% of HCWs including surgeons had COVID-19, there could be variations depending on settings. Facemask was found to be somewhat protective against COVID-19, but the HCWs' compliance was highly variable ranging from zero to 100%. Echoing surgical societies' guidelines we continue to recommend facemask use among surgeons to prevent COVID-19.

Immune system response during viral Infections: Immunomodulators, cytokine storm (CS) and Immunotherapeutics in COVID-19.

Coronaviruses are non-segmented and single stranded positive-sense RNA (+ssRNA) viruses. To date, 06 human coronaviruses (HCoVs) are reported; α-CoVs (HCoVs-NL63 and HCoVs-229E) and ß-CoVs (HCoVs-OC43, HCoVs-HKU1, SARS-CoV, MERS-CoV). While, novel coronavirus (SARS-CoV-2) is the most recent member. The genome sequence of SARS-CoV-2 is 82% similar to SARS-COV-1. The compelling evidences link the progression of viral infection of SARS-CoV-2 with excessive inflammation as a result of the exaggerated immune response and elevated production of "immunocytokines" resulting in cytokine storm (CS); followed by a series of events, like acute organ damage, acute respiratory distress syndrome (ARDS) as well as death. Hence attempts to reduce cytokine storm are now being considered as a new paradigm shift in the clinical management of SARS-CoV-2. Tocilizumab (IL-6 blocker), Baricitinib (JAKs and AAK1 inhibitor), TNFα inhibitors (Infliximab, Adalimumab, Certolizumab) are currently being evaluated for possible block of the CS. Hence, rationalizing anti-inflammatory therapeutics would be the most judicious approach for significant reduction in COVID-19 mortality. In order to elucidate optimized and rationaled use of different therapeutics in COVID-19, we collated latest available information from emerging scientific evidences, integrated previous attempts as well as clinical successes, and various adopted approaches to mitigate past outbreaks with of SARS-CoV and MERS CoV.

A consensus Covid-19 immune signature combines immuno-protection with discrete sepsis-like traits associated with poor prognosis (preprint)

Person-to-person transmission of SARS-CoV-2 virus has triggered a global emergency because of its potential to cause life-threatening Covid-19 disease. By comparison to pauci-symptomatic virus clearance by most individuals, Covid-19 has been proposed to reflect insufficient and/or pathologically exaggerated immune responses. Here we identify a consensus peripheral blood immune signature across 63 hospital-treated Covid-19 patients who were otherwise highly heterogeneous. The core signature conspicuously blended adaptive B cell responses typical of virus infection or vaccination with discrete traits hitherto associated with sepsis, including monocyte and dendritic cell dampening, and hyperactivation and depletion of discrete T cell subsets. This blending of immuno-protective and immuno-pathogenic potentials was exemplified by near-universal CXCL10/IP10 upregulation, as occurred in SARS1 and MERS. Moreover, specific parameters including CXCL10/IP10 over-expression, T cell proliferation, and basophil and plasmacytoid dendritic cell depletion correlated, often prognostically, with Covid-19 progression, collectively composing a resource to inform SARS-CoV-2 pathobiology and risk-based patient stratification.