COVID-19 and Moroccan nursing students: A multicenter cross-sectional survey on their related knowledge, attitudes and practices

OBJECTIVES/GOALS: The purpose of our study was to assess the knowledge, attitudes and practices of nursing students during the COVID-19 pandemic. METHODS/STUDY POPULATION: Data were collected using an online questionnaire consisted of demographic characteristics and 24 items about COVID-19-related knowledge, attitudes and practices. RESULTS/ANTICIPATED RESULTS: A total of 1,216 nursing students participated in this study. About 82% of the participants reported that the COVID-19 virus spreads via respiratory droplets of infected individuals. The most clinical symptoms of COVID-19 correctly identified by participants were fever (97.6%), dry cough (92.4%), dyspnoea (82%) and fatigue (74.9%). More than 56.6% of the participants were afraid of being affected by COVID-19. Almost all participants reported that they avoid crowded places frequently. About 93.4% of the participants declared frequently wearing face mask when leaving home, and 85.5% maintained social distancing frequently. However, only 47.4% reported that they frequently washed their hands. About 51% stated that coronavirus outbreak has considerably changed their daily routines. DISCUSSION/SIGNIFICANCE: Sensitization and education campaigns are needed to improve their preventative practices, such as hand hygiene and wearing face mask. In addition, it may be of importance to incorporate competences into curricula to improve knowledge, attitudes and practices of future health professionals and to prepare them for emergencies and outbreaks.

How Physicians in a Moroccan Tertiary Care Center Perceive Teleconsultation During COVID-19 Pandemic?

Background: Recent technological advances have paved the way for a new modality of medical practice known as teleconsultation. Positive perceptions about the benefits of teleconsultation and its acceptance by clinicians are key predictors of its uptake. The aim of this study was to assess knowledge, perceptions, and acceptability of teleconsultation among Moroccan physicians. Methods: This is a descriptive cross-sectional study conducted at the Cheikh Khalifa International University Hospital (HCK) of Casablanca, Morocco. Study participants answered an anonymous self-administered questionnaire designed based on similar studies. The questionnaire contained four sections related to demographic characteristics, knowledge about telemedicine and teleconsultation, perceptions about teleconsultation, and its acceptability by the study participants. Results: Of 486 eligible participants, a total of 212 completed the questionnaire. Approximately 96.7% had prior knowledge of teleconsultation. Most participants identified internet access (95.3%), data security (93.4%), and confidentiality (92.9%) as the main facilitators to the use of teleconsultation. The main barriers to the use of teleconsultation were internet access issues (98.6%), poor audio quality (96.2%), poor video quality (94.3%), and difficulty encountered by patients in expressing themselves and communicating with their physician (79.7%). The majority of participants (91.5%) believed that teleconsultation will be an integral part of future medical practice and about 70.8% thought that they would be able to allot time to teleconsultation in their current schedules. Conclusions: The findings of this study should be used by policy makers to remove barriers and promote enablers of teleconsultation use by physicians to bring health care closer to the Moroccan population.

Anxiety, Stress, and Depression Among Healthcare Professionals During the COVID-19 Pandemic: A Cross-Sectional Study in Morocco.

The COVID-19 pandemic has caused an enormous psychological impact worldwide. This study aimed to assess anxiety, depression, stress, and compensatory behaviors among Moroccan healthcare workers (HCWs) during COVID-19. This descriptive cross-sectional study was conducted using a snowball sampling strategy. This descriptive cross-sectional study was conducted using a snowball sampling strategy. Online surveys were sent to groups of HCWs working in Casablanca and Fez cities. Post-traumatic stress disorder (PTSD) was measured using the Impact of Event Scale revised (IES-R) scale, and the DASS-21 was used to measure anxiety, depression, and stress among participants. Compensatory behaviors used by HCWs to manage these symptoms were also investigated. The majority of participants (72.5%) experienced moderate to severe distress during the COVID-19 pandemic. The majority of participants (53.1%) reported symptoms of mild to extremely severe depression. Overall, nurses, female, and frontline HCWs experienced more stress, anxiety, and depression (P < .001). Leisure activities (29%), sport (19%), and drinking tea/coffee (19%) were the most common compensatory behaviors. Our findings suggest that psychological support and interventions targeting high-risk HCWs with heavy psychological distress are needed. It is of paramount importance to improve the psychological endurance and safeguard the mental and physical well-being of HCWs, who find themselves on the frontline of health and humanitarian crises, when they are needed the most.

Molecular Modeling Targeting the ACE2 Receptor with Cannabis sativa's Active Ingredients for Antiviral Drug Discovery against SARS-CoV-2 Infections.

The emergence of a novel coronavirus that later on rendered a global pandemic, caused desperation within the communities and drove increased interest in exploring medicinal plant-based therapeutics to treat and prevent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus infections. Many medicinal plants have been reported to have antiviral, anti-inflammatory, and immunomodulatory effects that hinder, cure, or ease the symptoms of COVID-19 infection. This exploratory study seeks to dock the active components of Cannabis sativa, a natural plant with several pharmacological and biological properties, with the angiotensin-converting enzyme II (ACE2) receptor. A total of 3 C. sativa active components have been found to bind to the ACE2 protein active site and could inhibit spike binding, although they do not compete directly with the receptor-binding domain (RBD) of SARS-CoV-2. 6-Prenylapigenin, cannabivarin (CBN-C3), and Δ8-tetrahydrocannabinolic acid-A (Δ8-THCA) have a greater affinity (-8.3, -8.3, and -8.0 kcal/mol, respectively) and satisfactory interaction with ACE2 than its inhibitor MLN-4760 (-7.1 kcal/mol). These potential drugs with higher affinity for the ACE2 receptor and adequate absorption, distribution, metabolism, excretion, and toxicity (ADMET) values are candidates for treating or preventing SARS-CoV-2 infections. In vitro and in vivo investigations are needed to evaluate further the efficacy and toxicity of these hit compounds.

Health-Related Quality of Life of Moroccan COVID-19 Survivors: A Case-Control Study.

BACKGROUND: Research on COVID-19 has mostly focused on transmission, mortality and morbidity associated with the virus. However, less attention has been given to its impact on health-related quality of life (HRQoL) of patients with COVID-19. Therefore, this study aimed to determine the demographic and clinical risk factors associated with COVID-19 and evaluate its impact on the HRQoL of COVID-19 survivors. METHODS: A case-control study was carried out between September 2021 and March 2022 on 1105 participants. A total of 354 were COVID-19 survivors and 751 were the control group. The HRQoL was assessed using both EQ-5D-5L and SF-6D generic instruments. RESULTS: The average age of all participants was 56.17 ± 15.46. Older age, urban area, tobacco use, presence of chronic diseases especially type 1 diabetes, kidney and cardiovascular diseases were significantly associated with COVID-19. The COVID-19 survivors had significantly lower HRQoL (EQ-VAS = 50.89) compared to the control group (EQ-VAS = 63.36) (p-value < 0.0001). Pain/ discomfort and anxiety/depression were the most negatively affected by COVID-19 (p-value < 0.0001). CONCLUSIONS: The findings from this study could help healthcare professionals and policy makers to better understand the HRQoL sequelae among the COVID-19 survivors and contribute to develop tailored interventions.

Gut Microbiome 16S rRNA Gene Amplicon Taxonomic Profiling of Hospitalized Moroccan COVID-19 Patients.

We explored the gut microbiome composition in four Moroccan patients with coronavirus disease 2019 (COVID-19) during hospitalization and treatment, using 16S rRNA gene amplicon metataxonomic profiling, and compared it with that in four healthy severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-free control subjects.

Relationship between Meteorological and Air Quality Parameters and COVID-19 in Casablanca Region, Morocco.

The aim of this study was to investigate the relationship between meteorological parameters, air quality and daily COVID-19 transmission in Morocco. We collected daily data of confirmed COVID-19 cases in the Casablanca region, as well as meteorological parameters (average temperature, wind, relative humidity, precipitation, duration of insolation) and air quality parameters (CO, NO2, 03, SO2, PM10) during the period of 2 March 2020, to 31 December 2020. The General Additive Model (GAM) was used to assess the impact of these parameters on daily cases of COVID-19. A total of 172,746 confirmed cases were reported in the study period. Positive associations were observed between COVID-19 and wind above 20 m/s and humidity above 80%. However, temperatures above 25° were negatively associated with daily cases of COVID-19. PM10 and O3 had a positive effect on the increase in the number of daily confirmed COVID-19 cases, while precipitation had a borderline effect below 25 mm and a negative effect above this value. The findings in this study suggest that significant associations exist between meteorological factors, air quality pollution (PM10) and the transmission of COVID-19. Our findings may help public health authorities better control the spread of COVID-19.

A laboratory-based study of COVID-19 in Casablanca, Morocco.

Given the spread of coronavirus disease 2019 (COVID-19) and its impact on human health, laboratory confirmation of diagnosis is essential. This study examined the contribution of laboratory diagnosis to the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the diagnosis of COVID-19, taking into account patient risk of exposure to SARS-CoV-2, clinical symptoms and comorbidities. A cross-sectional, laboratory-based study was carried out from 1 April 2020 to 30 April 2020 at the National Reference Laboratory in Morocco using nasopharyngeal samples from patients admitted to the Cheikh Khalifa International University Hospital or other hospitals in Casablanca. A one-step reverse transcription real-time polymerase chain reaction (RT-PCR) was used to detect the presence of the SARS-CoV-2 genome. A national epidemiological investigation form was used to analyze patient exposure risk, clinical symptoms and comorbidities. A total of 793 samples from 375 patients were analyzed and 1150 RT-PCR tests were conducted; 116 patients (30.93%) were COVID-19 positive. Travel to a risk zone, contact with a confirmed COVID-19 case and contact with a person who had been in a risk zone were significantly associated with being positive for COVID-19. Fever and cough were the main symptoms; 7.76 % of positive patients were asymptomatic. This is the first laboratory-based study in Morocco for the diagnosis of COVID-19. Laboratory diagnosis of COVID-19 by RTPCR associated with knowledge of exposure risk factors and clinical symptoms and comorbidities remains essential for clinicians for early, appropriate medical management COVID-19 patients.

COVID-19 Vaccination Acceptance among Health Science Students in Morocco: A Cross-Sectional Study.

While students in the health sciences occupy pivotal roles in the Moroccan COVID-19 response and vaccination campaigns, factors associated with COVID-19 vaccine acceptability among students have not been reported. This study aimed to determine the willingness and identify predictive attitudes and beliefs of COVID-19 vaccine acceptance among health science students in Morocco. A cross-sectional, self-administered online questionnaire was conducted among students of the Mohammed VI University of Health Sciences in Casablanca, Morocco in January 2021. In total, 1272 students participated. Univariate and multivariate logistic regression models were used to calculate odds ratios and 95% confidence intervals. Overall, 26.9% of participants reported being willing to receive the COVID-19 vaccine. Between genders, male students were more likely to accept the vaccine. Regarding individual attitudes and beliefs about COVID-19 infection, students with greater confidence in COVID-19 information, and higher perceived likelihood and perceived severity of infection were more likely to be willing to get the vaccine. Concerning a COVID-19 vaccine, students who reported lower levels of perceived harm and higher levels of perceived vaccine effectiveness were more willing to get vaccinated. Our findings help guide future efforts to tailor communication and identify strategies to increase COVID-19 vaccine uptake among students.

Acceptability of COVID-19 vaccination among health care workers: a cross-sectional survey in Morocco.

INTRODUCTION: This study aimed to evaluate the acceptability of COVID-19 vaccination among health care workers prior to the start of the COVID-19 vaccination campaign in Morocco. METHODS: This cross-sectional study was conducted in the Cheikh Khalifa University Hospital of Casablanca-Morocco. Utilizing a web-based platform surveys were distributed over a 3-week period via professional mailing list and social media. Odds ratios and 95% confidence intervals were estimated by using logistic regression models. RESULTS: A total of 303 health care workers participated in this study. The results showed a relatively high rate of vaccination acceptability (62.0%) among health care workers included in this study. Participants were more likely to accept the COVID-19 vaccine if they were physician, nurse, or technician (OR 1.79; 95% CI: 1.09-2.95), had high score of confidence in the information circulating about COVID-19 (OR 1.91; 95% CI: 1.36-2.69), or had high score of perceived severity of COVID-19 (OR 1.55; 95% CI: 1.11-2.15). Reasons of hesitation/or refusal of COVID-19 vaccine were fear of the likely side effects of the vaccine for 74.8% of participants, and concern about the effectiveness of the vaccine for 47.8%. CONCLUSION: This study showed a relatively high rate of the COVID-19 vaccination acceptance among health care workers in Morocco. Willingness to be vaccinated was significantly associated with job category, confidence in the information circulating about COVID-19, and perceived severity of COVID-19. These results could be useful in the development of educational interventions to increase the acceptance of COVID-19 vaccine among health care workers in Morocco and similar settings.

Moroccan Digital Health Response to the COVID-19 Crisis.

The COVID-19 pandemic and the draconian measures applied to limit its spread have accelerated the process of digitalizing many activities, including those within the health sector. In Morocco, a developing country in northern Africa, digital health has been deployed extensively, and in a remarkable way, to support the management of the current health crisis. Morocco is taking significant measures to become a key player in the process of achieving Sustainable Development Goals (SDG) goal 3. The government has comprehensively integrated digital technology throughout its coordinated containment and mitigation processes. These processes encompass testing and diagnostics; virus genomic surveillance; telecare of suspected and chronic patients; COVID-19 patient contact tracing and tracking; a laboratory information system for medical material dispatching, biological sample collection, and data processing nationwide; and smart vaccination management. Moreover, the pace of amending legislation for enabling efficient telemedicine practice has been achieved at a record-breaking. The successful implementation of all of these digital health strategies testify to the effectiveness of digitalization for managing the health aspects of the pandemic and for the future development of health systems in Morocco and in the African continent, where digital health and telemedicine is set to become the cornerstone of medical practice.

Metagenomics Approaches to Investigate the Gut Microbiome of COVID-19 Patients.

Over the last decade, it has become increasingly apparent that the microbiome is a central component in human well-being and illness. However, to establish innovative therapeutic methods, it is crucial to learn more about the microbiota. Thereby, the area of metagenomics and associated bioinformatics methods and tools has become considerable in the study of the human microbiome biodiversity. The application of these metagenomics approaches to studying the gut microbiome in COVID-19 patients could be one of the promising areas of research in the fight against the SARS-CoV-2 infection and disparity. Therefore, understanding how the gut microbiome is affected by or could affect the SARS-CoV-2 is very important. Herein, we present an overview of approaches and methods used in the current published studies on COVID-19 patients and the gut microbiome. The accuracy of these researches depends on the appropriate choice and the optimal use of the metagenomics bioinformatics platforms and tools. Interestingly, most studies reported that COVID-19 patients' microbiota are enriched with opportunistic microorganisms. The choice and use of appropriate computational tools and techniques to accurately investigate the gut microbiota is therefore critical in determining the appropriate microbiome profile for diagnosis and the most reliable antiviral or preventive microbial composition.

COVID-19 and Moroccan nursing students: A multicentre cross-sectional survey on their related knowledge, attitudes and practices.

AIM: To assess knowledge, attitudes and practices of Moroccan nursing students towards COVID-19. DESIGN: Cross-sectional study. METHOD: Data were collected using an online questionnaire consisted of demographic characteristics and 24 items about COVID-19-related knowledge, attitudes and practices. RESULTS: A total of 1,216 nursing students participated in this study. About 82% of the participants reported that the COVID-19 virus spreads via respiratory droplets of infected individuals. The most clinical symptoms of COVID-19 correctly identified by participants were fever (97.6%), dry cough (92.4%), dyspnoea (82%) and fatigue (74.9%). More than 56.6% of the participants were afraid of being affected by COVID-19. Almost all participants reported that they avoid crowded places frequently. About 93.4% of the participants declared frequently wearing face mask when leaving home, and 85.5% maintained social distancing frequently. However, only 47.4% reported that they frequently washed their hands. About 51% stated that coronavirus outbreak has considerably changed their daily routines.

A review on current diagnostic techniques for COVID-19.

INTRODUCTION: SARS-Cov-2 first appeared in Wuhan, China, in December 2019 and spread all over the world soon after that. Given the infectious nature ofSARS-CoV-2, fast and accurate diagnosis tools are important to detect the virus. In this review, we discuss the different diagnostic tests that are currently being implemented in laboratories and provide a description of various COVID-19 kits. AREAS COVERED: We summarize molecular techniques that target the viral load, serological methods used for SARS-CoV-2 specific antibodies detection as well as newly developed faster assays for the detection of SARS-COV 2 in various biological samples. EXPERT OPINION: In the light of the widespread pandemic, the massive diagnosis of COVID-19, using various detection techniques, appears to be the most effective strategy for monitoring and containing its propagation.

Large scale genomic analysis of 3067 SARS-CoV-2 genomes reveals a clonal geo-distribution and a rich genetic variations of hotspots mutations.

In late December 2019, an emerging viral infection COVID-19 was identified in Wuhan, China, and became a global pandemic. Characterization of the genetic variants of SARS-CoV-2 is crucial in following and evaluating it spread across countries. In this study, we collected and analyzed 3,067 SARS-CoV-2 genomes isolated from 55 countries during the first three months after the onset of this virus. Using comparative genomics analysis, we traced the profiles of the whole-genome mutations and compared the frequency of each mutation in the studied population. The accumulation of mutations during the epidemic period with their geographic locations was also monitored. The results showed 782 variants sites, of which 512 (65.47%) had a non-synonymous effect. Frequencies of mutated alleles revealed the presence of 68 recurrent mutations, including ten hotspot non-synonymous mutations with a prevalence higher than 0.10 in this population and distributed in six SARS-CoV-2 genes. The distribution of these recurrent mutations on the world map revealed that certain genotypes are specific to geographic locations. We also identified co-occurring mutations resulting in the presence of several haplotypes. Moreover, evolution over time has shown a mechanism of mutation co-accumulation which might affect the severity and spread of the SARS-CoV-2. The phylogentic analysis identified two major Clades C1 and C2 harboring mutations L3606F and G614D, respectively and both emerging for the first time in China. On the other hand, analysis of the selective pressure revealed the presence of negatively selected residues that could be taken into considerations as therapeutic targets. We have also created an inclusive unified database (http://covid-19.medbiotech.ma) that lists all of the genetic variants of the SARS-CoV-2 genomes found in this study with phylogeographic analysis around the world.

Genomic Diversity and Hotspot Mutations in 30,983 SARS-CoV-2 Genomes: Moving Toward a Universal Vaccine for the "Confined Virus"?

The COVID-19 pandemic has been ongoing since its onset in late November 2019 in Wuhan, China. Understanding and monitoring the genetic evolution of the virus, its geographical characteristics, and its stability are particularly important for controlling the spread of the disease and especially for the development of a universal vaccine covering all circulating strains. From this perspective, we analyzed 30,983 complete SARS-CoV-2 genomes from 79 countries located in the six continents and collected from 24 December 2019, to 13 May 2020, according to the GISAID database. Our analysis revealed the presence of 3206 variant sites, with a uniform distribution of mutation types in different geographic areas. Remarkably, a low frequency of recurrent mutations has been observed; only 169 mutations (5.27%) had a prevalence greater than 1% of genomes. Nevertheless, fourteen non-synonymous hotspot mutations (>10%) have been identified at different locations along the viral genome; eight in ORF1ab polyprotein (in nsp2, nsp3, transmembrane domain, RdRp, helicase, exonuclease, and endoribonuclease), three in nucleocapsid protein, and one in each of three proteins: Spike, ORF3a, and ORF8. Moreover, 36 non-synonymous mutations were identified in the receptor-binding domain (RBD) of the spike protein with a low prevalence (<1%) across all genomes, of which only four could potentially enhance the binding of the SARS-CoV-2 spike protein to the human ACE2 receptor. These results along with intra-genomic divergence of SARS-CoV-2 could indicate that unlike the influenza virus or HIV viruses, SARS-CoV-2 has a low mutation rate which makes the development of an effective global vaccine very likely.

Health-related quality of life and behavior-related lifestyle changes due to the COVID-19 home confinement: Dataset from a Moroccan sample.

The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) virus initially appeared in Wuhan, Hubei Province, China has caused a novel coronavirus disease (COVID-19) [1]. The disease is rapidly spread around the world causing thousands of deaths and posing critical challenges for public health and clinical research in the world. The outbreak was declared by the World Health Organization (WHO) as a public health emergency of international concern. Nowadays, there are more than 18 millions of confirmed cases of coronavirus across the world with a total of 702,903 deaths [2]. In Morocco, there are 28,500 confirmed cases and 345 deaths. Forecasts for the cumulative number of confirmed, recovered, active and death cases were recently provided [3]. To manage the pandemic spread several countries adopted proactive and preventive measures including home confinement of the population. However, there is evidence that these measures, particularly home confinement, can cause unprecedented disruption in the well-being of the population. Being forced to stay at home and the daily activities' restrictions could impact the citizens' health-related quality of life (HRQoL) and behavior-related lifestyle. It has been reported that the COVID-19 pandemic has an impact on psychological behaviors [4], mental health [5] and anxiety/depression [6]. The Moroccan population was under home confinement from March 20, 2020. Assessing rapidly and simply the HRQoL during crisis such as the home confinement is a challenge of interest to provide speedy information to authorities which allow best management of damages yielding in crisis situation. The EQ-5D instrument is a generic questionnaire developed by the Euroqol group for measuring the HRQoL by combining five health dimensions (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) [7]. The EQ-5D instrument is translated into more than 300 languages and exhibit good reliability and validity in both patients and general population. Herein, we used the EQ-5D-5L instrument to assess for the first time the impact of the home confinement on the HRQoL. Also, we evaluated the changes in behaviors by asking some questions related to lifestyle before and during the home confinement. These data can help the Moroccan authorities and other countries to more understand the impact of this crisis on citizens and therefore to set up adequate protocols for managing the post-confinement or possible future crisis. We provided two datasets: (1) data we collected before confinement from a sample of 484 individuals describing their HRQoL [8] and (2) data we collected during the home confinement period from a sample of 537 individuals describing their HRQoL and behavior-related lifestyle.

Genome Sequences of Six SARS-CoV-2 Strains Isolated in Morocco, Obtained Using Oxford Nanopore MinION Technology.

Here, we report the draft genome sequences of six severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) strains. SARS-CoV-2 is responsible for the COVID-19 pandemic, which started at the end of 2019 in Wuhan, China. The isolates were obtained from nasopharyngeal swabs from Moroccan patients with COVID-19. Mutation analysis revealed the presence of the spike D614G mutation in all six genomes, which is widely present in several genomes around the world.

The hidden Markov chain modelling of the COVID-19 spreading using Moroccan dataset.

The World Health Organization (WHO) declared in March 12, 2020 the COVID-19 disease as pandemic. In Morocco, the first local transmission case was detected in March 13. The number of confirmed cases has gradually increased to reach 15,194 on July 10, 2020. To predict the COVID-19 evolution, statistical and mathematical models such as generalized logistic growth model [1], exponential model [2], segmented Poisson model [3], Susceptible-Infected-Recovered derivative models [4] and ARIMA [5] have been proposed and used. Herein, we proposed the use of the Hidden Markov Chain, which is a statistical system modelling transitions from one state (confirmed cases, recovered, active or death) to another according to a transition probability matrix to forecast the evolution of COVID-19 in Morocco from March 14, to October 5, 2020. In our knowledge the Hidden Markov Chain was not yet applied to the COVID-19 spreading. Forecasts for the cumulative number of confirmed, recovered, active and death cases can help the Moroccan authorities to set up adequate protocols for managing the post-confinement due to COVID-19. We provided both the recorded and forecasted data matrices of the cumulative number of the confirmed, recovered and active cases through the range of the studied dates.