DEEP LEARNING BASED AN EFFICIENT HYBRID PREDICTION MODEL FOR COVID-19 CROSS-COUNTRY SPREAD AMONG E7 AND G7 COUNTRIES

The COVID-19 pandemic has caused the death of many people around the world and has also caused economic problems for all countries in the world. In the literature, there are many studies to analyze and predict the spread of COVID-19 in cities and countries. However, there is no study to predict and analyze the cross-country spread in the world. In this study, a deep learning based hybrid model was developed to predict and analysis of COVID-19 cross-country spread and a case study was carried out for Emerging Seven (E7) and Group of Seven (G7) countries. It is aimed to reduce the workload of healthcare professionals and to make health plans by predicting the daily number of COVID-19 cases and deaths. Developed model was tested extensively using Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE) and R Squared (R2). The experimental results showed that the developed model was more successful to predict and analysis of COVID-19 cross-country spread in E7 and G7 countries than Linear Regression (LR), Random Forest (RF), Support Vector Machine (SVM), Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM). The developed model has R2 value close to 0.9 in predicting the number of daily cases and deaths in the majority of E7 and G7 countries. © 2023 by the authors.

Perception and Practice Towards Hand Hygiene during Pandemic among Patients Visiting OPD in A Private Institution

One of the most significant and well-publicized prevention practises for Covid 19 is hand cleanliness. Face masks and social withdrawal are useless without good hand hygiene. The healthcare professionals can only intervene and raise awareness to enhance the public's hand hygiene practises after they are aware of the public's perceptions of and barriers to hand hygiene. A private dental facility had 150 outpatients participate in this cross-sectional questionnaire survey. Ten questions addressing various facets of hand hygiene and perceived obstacles made up the survey. The information from Google Forms was then imported into SPSS Version 15 using Excel. Data were presented as frequencies and percentages after the chi square test, and a p value of 0.05 or less was regarded as statistically significant.. In our study, 92.62 percent of outpatients at a private facility said that they continue to take measures against COVID19. 83.89% of our patients agreed that good hand hygiene habits are crucial for preventing COVID19. Whereas 38.26% of outpatients claimed to only wash their hands for 30 seconds, 33.56% of outpatients claimed to wash their hands for a full minute. In contrast to the 48.32 percent who said hand sanitizer is best and important for hand hygiene, 51.68 percent of outpatients said soap and water is best and essential for hand hygiene. According to the study's findings, the participants had a reasonable understanding of hand hygiene and its significance. Yet, there is a need for greater awareness of the finishing details on touch surfaces. Thus, it is advised that media-based propaganda and awareness campaigns have a positive impact and should be kept up, with a stronger focus on the finer points. © 2023 IEEE.

Storytelling for disability in COVID-19

This chapter describe a Storytelling and Narrative Medicine pilot study which focused on communication in therapeutic settings. The research was carried out by a group of Italian Health Care professionals (HCP) from Calambrone Institute for Rehabilitation (IRC), at the IRCCS Stella Maris Foundation, along with a group of parents of patients with disabilities. However, because of the Covid-19 outbreak in Italy, many of the participants found themselves in lockdown in their own homes with their children. To evaluate the efficacy of storytelling as a tool for emotional and communication support, the authors submitted to both the HCP and parents two original online surveys to get information on their current emotional state. The assessed areas were personal stress, the relationship with children and family members, and the relationship with colleagues and professionals. The chapter focuses on emotional and psychological consequences that lack of social and therapeutic interactions might have produced. This short but effective educational intervention gives skills and knowledge to structure one's feelings and thoughts in a narrative form, equipping the participants with the resources to perceive themselves and their life experiences as the elements of the story. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Impact of COVID-19 Pandemic on Health Care Professional due to Emergency Surgical Practice: A Hospital Based Observational Study

Background and Objectives: The effects of COVID-19 on surgical practice are extensive and include modifications to perioperative practice and ways of working, workforce and staffing difficulties, procedural prioritization, intraoperative viral transmission risk, and surgical training and education. There is a lack of information about the way this pandemic has impacted medical professionals because of surgical practice. Aims and Objectives: The current study's goal was to determine the dispersion of COVID 19 through patients to healthcare professionals utilising PPE during emergency surgeries. Material(s) and Method(s): The study was conducted as a hospital based retro prospective observational study at the Department of General Surgery, Government Medical College and hospital of central India. After receiving institutional ethical committee permission and the informed written consent, 36 patients receiving emergency surgeries during COVID-19 Era and 109 health care professionals involved in patient care were evaluated for the onset of any COVID 19 symptom for 5 days postoperatively. All the data collected were analyzed using SPSS statistical software version 26. Result(s): Among these 36 emergency surgeries patients, 86.1% (n=31) had COVID positive report during admission, mostly had complain of respiratory symptoms. Out of 16 COVID positive health workers, 81.25% (n=13) suffered from respiratory symptoms, 43.75% (n=7) had G.I symptoms and 12.50% (n=2) were asymptomatic. Analysis showed a positive relation between COVID positive status and depression in health care professionals (p=0.028). Out of 93 COVID negative health care workers involved in emergency surgeries, 90.32 % (n=84) were asymptomatic. Only 9.67% (n=9) health care workers had respiratory symptoms and 2.1% (n=2) had gastrointestinal symptoms. Conclusion(s): The current study may aid in the development of mitigation measures to enhance mental well-being, as well as the identification of factors of poor mental state and therapies to treat people suffering from a mental condition. Postoperative assessments in a digital environment on an individual basis allow team members to voice their worries and comments to the system as a mitigating technique. Evidence-based training and education for HCWs on pandemic preparation has been shown to be critical for improving hospital staff expertise, abilities, and mental well-being during a pandemic.Copyright © 2023, Dr. Yashwant Research Labs Pvt. Ltd.. All rights reserved.

An Automatic CNN-based Face Mask Detection Algorithm Tested During the COVID-19 Pandemics

The ongoing COVID-19 pandemic has highlighted the importance of wearing face masks as a preventive measure to reduce the spread of the virus. In medical settings, such as hospitals and clinics, healthcare professionals and patients are required to wear surgical masks for infection control. However, the use of masks can hinder facial recognition technology, which is commonly used for identity verification and security purposes. In this paper, we propose a convolutional neural network (CNN) based approach to detect faces covered by surgical masks in medical settings. We evaluated the proposed CNN model on a test set comprising of masked and unmasked faces. The results showed that our model achieved an accuracy of over 96% in detecting masked faces. Furthermore, our model demonstrated robustness to different mask types and fit variations commonly encountered in medical settings. Our approaches reaches state of the art results in terms of accuracy and generalization. © 2022 Copyright for this paper by its authors.

Paradigm shift in infection control practices in dental clinics in response to COVID-19 among dental professionals in Thailand.

Infection control (IC) practice routines depend mainly on knowledge, perception, and awareness of a disease among dental professionals. However, there has been no report on the perception, awareness, and adaptability to the new practice guidelines of Thai dental professionals (dentists, dental nurses, dental assistants, and dental technicians) to the COVID-19 pandemic. This study aims to investigate how dental professionals in Thailand perceive and are aware of COVID-19, and how they have changed their IC practices in response to the pandemic. Online cross-sectional surveys using convenience sampling during September 2021 were sent to Thai dental professionals. The data were analyzed using descriptive statistics and the Chi-square test. Statistical analysis was performed using the Statistical Package for Social Sciences, version 22.0. The tests were two-tailed, with a significance level of p < 0.05 and 95% confidence intervals (CIs). The 1,177 dental professionals who completed the questionnaire were from the public and private sectors. Most respondents obtained their knowledge about COVID-19 from social media (91.8%). 86.7% had adapted to the new IC practice guidelines. The respondents reported that they had modified their work practices in several aspects; changes in administrative control, 1,039 (88.3%); enhancing local source control of dental aerosols, 1,031 (87.6%); heightening sterilization and disinfection procedures, 1,032 (87.7%); and improving the ventilation system, 994 (84.5%). As of October 2021, 1,162 (98.7%) respondents were vaccinated, and 47 (3.99%) had tested positive for COVID-19 compared with 2.30% in the general population. Among infected individuals, 10 (21.3%) were suspected of being infected while working in the dental setting. In conclusion, with an average worry score well over 4.10 out of 5, more than 96% of Thai dental professionals reported seeking updated knowledge and agreed that escalation of IC measures was needed. However, only 86.7% improved their COVID-19 infection prevention practices in 4 aspects and appropriate PPE use. The infection rate in dental professionals was 3.99%, with the highest infection rate in dental assistants. Despite statistical insignificance of infection rate between changed and unchanged group, it cannot be concluded that stricter IC measures are negligible as ones might contract disease from setting other than work.

Mobile Health Requirements for the Occupational Health Assessment of Health Care Professionals: Delphi Study.

BACKGROUND: In recent years, owing to the COVID-19 pandemic, awareness of the high level of stress among health care professionals has increased, and research in this area has intensified. Hospital staff members have historically been known to work in an environment involving high emotional demands, time pressure, and workload. Furthermore, the pandemic has increased the strain experienced by health care professionals owing to the high number of people they need to manage and, on many occasions, the limited available resources with which they must carry out their functions. These psychosocial risks are not always well dealt with by the organization or the professionals themselves. Therefore, it is necessary to have tools to assess these psychosocial risks and to optimize the management of this demand from health care professionals. Digital health, and more specifically, mobile health (mHealth), is presented as a health care modality that can contribute greatly to respond to these unmet needs. OBJECTIVE: We aimed to analyze whether mHealth tools can provide value for the study and management of psychosocial risks in health care professionals, and assess the requirements of these tools. METHODS: A Delphi study was carried out to determine the opinions of experts on the relevance of using mHealth tools to evaluate physiological indicators and psychosocial factors in order to assess occupational health, and specifically, stress and burnout, in health care professionals. The study included 58 experts with knowledge and experience in occupational risk prevention, psychosocial work, and health-related technology, as well as health professionals from private and public sectors. RESULTS: Our data suggested that there is still controversy about the roles that organizations play in occupational risk prevention in general and psychosocial risks in particular. An adequate assessment of the stress levels and psychosocial factors can help improve employees' well-being. Moreover, making occupational health evaluations available to the team would positively affect employees by increasing their feelings of being taken into account by the organization. This assessment can be improved with mHealth tools that identify and quickly highlight the difficulties or problems that occur among staff and work teams. However, to achieve good adherence and participation in occupational health and safety evaluations, experts consider that it is essential to ensure the privacy of professionals and to develop feelings of being supported by their supervisors. CONCLUSIONS: For years, mHealth has been used mainly to propose intervention programs to improve occupational health. Our research highlights the usefulness of these tools for evaluating psychosocial risks in a preliminary and essential phase of approaches to improve the health and well-being of professionals in health care settings. The most urgent requirements these tools must meet are those aimed at protecting the confidentiality and privacy of measurements.

Practical infection control training for Victoria's aged care workforce at the time of COVID-19 pandemic: a community case study.

The need to improve career development and training for residential aged care workers in Australia to achieve required essential competencies, including infection prevention and control competencies, has been repeatedly highlighted. In Australia long-term care settings for older adults are known as residential aged care facilities (RACFs). The COVID-19 pandemic has brought to light the lack of preparedness of the aged care sector to respond to emergencies, and the urgent need to improve the infection prevention and control training in residential aged care facilities. The government in the Australian State of Victoria allocated funds to support older Australians in RACFs, including funds toward infection prevention and control training of RACF staff. The School of Nursing and Midwifery at Monash University addressed some of these challenges in delivering an education program on effective infection prevention and control practices to the RACF workforce in Victoria, Australia. This was the largest state-funded program delivered to RACF workers to date in the State of Victoria. The aim of this paper is to provide a community case study, where we share our experience of program planning and implementation during early stages of the COVID-19 pandemic and lessons learned.

Impact of the COVID-19 Pandemic on the Psychological Well-Being of Health Care Professionals in India

Introduction and Objective Health care professionals (HPs) have been at the forefront facing the pressures and uncertainties of the COVID-19 pandemic, and thus have a higher psychological vulnerability. The incidence of psychological distress, which can negatively affect an HP's work efficiency and long-term well-being, has not been studied in depth in India.Materials and Methods A multicentric study was conducted using the digital means of communication across Max Healthcare between June and August 2020. HPs in the department of oncology, including doctors, nurses, and other support staff, were invited to voluntarily participate in the self-administered online survey. A total of 87 HPs in oncology (41 doctors, 28 nurses, and 18 in other fronts) were assessed using the 12-item General Health Questionnaire (GHQ-12). Outcome of interest was psychological distress (defined as a GHQ-12 score >15).Results The overall incidence of psychological distress among HPs in oncology during the COVID-19 pandemic was 17.20%. Significantly higher levels of psychological distress were observed among HPs with a history of psychiatric illness ( p = 0.003), and among HPs with a work experience of less than 10 years ( p = 0.017).Conclusion The COVID-19 pandemic had a significant impact on the psychological well-being of HPs in India. This study implicated the recognition of the psychological well-being of HPs in oncology as an unmet need during the COVID-19 pandemic, further recommending efforts toward increasing accessibility of mental health services for them.

An intelligent platform of services based on multimedia understanding and telehealth for supporting the management of SARS-CoV-2 multi-pathological patients

The combination of pervasive sensing and multimedia understanding with the advances in communications makes it possible to conceive platforms of services for providing telehealth solutions responding to the current needs of society. The recent outbreak has indeed posed several concerns on the management of patients at home, urging to devise complex pathways to address the Severe Acute Respiratory Syndrome (SARS) in combination with the usual diseases of an increasingly elder population. In this paper, we present TiAssisto, a project aiming to design, develop, and validate an innovative and intelligent platform of services, having as its main objective to assist both Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) multi-pathological patients and healthcare professionals. This is achieved by researching and validating new methods to improve their lives and reduce avoidable hospitalisations. TiAssisto features telehealth and telemedicine solutions to enable high-quality standards treatments based on Information and Communication Technologies (ICT), Artificial Intelligence (AI) and Machine Learning (ML). Three hundred patients are involved in our study: one half using our telehealth platform, while the other half participate as a control group for a correct validation. The developed AI models and the Decision Support System assist General Practitioners (GPs) and other healthcare professionals in order to help them in their diagnosis, by providing suggestions and pointing out possible presence or absence of signs that can be related to pathologies. Deep learning techniques are also used to detect the absence or presence of specific signs in lung ultrasound images. © 2022 IEEE.

Factors Affecting the Intervention of Health-Care Professionals in Radiological Events: A Systematic Review.

This research aims to explore the factors affecting the intervention of health-care professionals regarding a radiological event and to determine what actions they cause. In line with the keywords determined, a search was conducted on Cochrane, Scopus, Web of Science, and PubMed until March 2022. Eighteen peer-reviewed articles that met the inclusion criteria were reviewed. This systematic review was conducted using the PICOS and PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses)guidelines. Of the 18 studies included in the study, 8 were cross-sectional studies, 7 were descriptive studies, 2 were interventional studies, and 1 was a systematic review. As a result of the qualitative analysis, 7 factors affecting the intervention of health-care professionals in a radiological event were identified as follows: rarity of the event; inadequacy of health-care professionals against the radiological event; sensory responses; dilemma and ethical concern; communication, workload; and other factors. The most important factor affecting the intervention of health-care professionals in a radiological event is inadequate education about a radiological event, which influences the formation of other factors. These and other factors cause actions such as delayed treatment, death, and disruption of health services. Further studies are needed on the factors affecting the intervention of health-care professionals.

Addressing the Shortage of Health Professionals in Official Language Minority Communities to Strengthen Retention Strategies for the Benefit of New Brunswick Francophone and Acadian Communities: Protocol for a Mixed Methods Design.

BACKGROUND: COVID-19 has highlighted already existing human resource gaps in health care systems. New Brunswick health care services are significantly weakened by a shortage of nurses and physicians, affecting regions where Official Language Minority Communities (OLMCs) reside. Since 2008, Vitalité Health Network (the "Network"), whose work language is French (with services delivered in both official languages, English and French), has provided health care to OLMCs in New Brunswick. The Network currently needs to fill hundreds of vacant physician and nurse positions. It is imperative to strengthen the network's retention strategies to ensure its viability and maintain adequate health care services for OLMCs. The study is a collaborative effort between the Network (our partner) and the research team to identify and implement organizational and structural strategies to upscale retention. OBJECTIVE: The aim of this study is to support one of New Brunswick health networks in identifying and implementing strategies to promote physician and registered nurse retention. More precisely, it wishes to make 4 important contributions to identify (and enhance our understanding of) the factors related to the retention of physicians and nurses within the Network; determine, based on the "Magnet Hospital" model and the "Making it Work" framework, on which aspects of the Network's environment (internal or external) it should focus for its retention strategy; define clear and actionable practices to help the Network replenish its strength and vitality; and improve the quality of health care services to OLMCs. METHODS: The sequential methodology combines quantitative and qualitative approaches based on a mixed methods design. For the quantitative part, data collected through the years by the Network will be used to take stock of vacant positions and examine turnover rates. These data will also help determine which areas have the most critical challenges and which ones have more successful approaches regarding retention. Recruitment will be made in those areas for the qualitative part of the study to conduct interviews and focus groups with different respondents, either currently employed or who have left it in the last 5 years. RESULTS: This study was funded in February 2022. Active enrollment and data collection started in the spring of 2022. A total of 56 semistructured interviews were conducted with physicians and nurses. As of manuscript submission, qualitative data analysis is in progress and quantitative data collection is intended to end by February 2023. Summer and fall 2023 is the anticipated period to disseminate the results. CONCLUSIONS: Applying the "Magnet Hospital" model and the "Making it Work" framework outside urban settings will offer a novel outlook to the knowledge of professional resource shortages within OLMCs. Furthermore, this study will generate recommendations that could contribute to a more robust retention plan for physicians and registered nurses. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/41485.

From expert to novice and back: a qualitative study of interprofessional collaboration and the experiences of frontline healthcare professionals during the first wave of COVID-19.

BACKGROUND: The global coronavirus disease 2019 pandemic put extreme pressure on healthcare systems worldwide, forcing a heavy workload on healthcare professionals. Frontline treatment and care for patients with coronavirus disease 2019 compelled healthcare professionals to rapidly adapt to new working conditions. This study explores the experiences of frontline healthcare professionals to learn more about how frontline work affects their learning and skills development but also interprofessional collaboration during a pandemic. METHODS: In-depth, one-to-one semi-structured interviews were conducted with 22 healthcare professionals. A broad interdisciplinary group, the participants were employed in public hospitals in four of Denmark's five regions. Using a reflexive methodology for the data analysis allowed reflexive interpretation when interpreting subjects and interpreting the interpretation. RESULTS: The study identified two empirical themes: into the unknown and in the same boat, which we critically interpreted using learning theory and theory on interprofessionalism. The study found that the healthcare professionals moved from being experts in their own fields to being novices in the frontline of the pandemic, and then back to being experts based on interprofessional collaboration that included shared reflection. Working in the frontline was imbued with a unique atmosphere in which workers were equals and functioned interdependently, the barriers normally obstructing interprofessional collaboration set aside to focus on combating the pandemic. CONCLUSIONS: This study reveals new insights regarding knowledge on frontline healthcare professionals in terms of learning and developing new skills, as well as the importance of interprofessional collaboration. The insights contributed to the understanding of the importance of shared reflection and how the development of expertise was a socially embedded process where discussions were possible without fear of being ridiculed and healthcare professionals were willing to share their knowledge.

Influence of COVID-19 on Tertiary Orthopaedic Centres.

Coronavirus disease 2019 (COVID-19) is a highly contagious lethal infection that has successfully spread all across the world. The novel coronavirus that is behind the menace and spread of COVID-19, is the next in the lineage of the Coronaviridae family of viruses, which had previously given two deadly viruses with limited geographical extent. After sustaining for more than two years, the virus is still active and keeps on mutating to evade human immunity. The impact of COVID-19 is felt not only by patients of COVID-19 who go through the trauma but also by non-COVID-19 patients due to the non-pharmacological interventions (NPIs) enforced. Patients in the orthopedic departments suffered a huge blow as their rehabilitation practices were stalled due to a lack of health professionals and also restrictions imposed. But to soften the blow, usage of telemedicine was done in some instances so that the essential therapies can continue despite the movement restrictions imposed. COVID-19 has disrupted many aspects of human life including clinical practices and this endeavor is to review those aspects and provide conclusions if any. The aim of the study is to review the available resources regarding Indoor orthopedic practice during the COVID-19 pandemic and draw a conclusion that can help further research on the aforementioned topic.

Locating frontline workers' position up against COVID-19.

History of mankind has been brutal and marred by wars, attacks, invasions, occupying others territory and killing other human beings with their animals in the process. But now with arrival of Industrial Revolutions in last century or so, we gradually realized that for having and maintaining economic prosperity; we need others' cooperation and since then full- scale wars almost disappeared. But when we fight now and support others in the process, we realise that brute force is only occasionally used entity and most of the times technological methods are deployed to injure others. It is this rationale which makes way for people of either gender having capability to use highly advanced weaponry to enter the arena to decide fate of their side. Therefore, now war is not exclusively masculine entity and that analogy may not be appropriate in modern era. When we use masculine notion to explain our war against COVID-19, there are many shortcomings.

[Expert opinion on strategies to improve vaccination coverage against seasonal influenza]. / Documento de opinión de expertos para la mejora de la cobertura vacunal frente a la gripe estacional.

Seasonal flu continues to be a major public health concern, and the influenza vaccine remains the most effective preventive measure. In Spain, vaccination coverage data from previous seasons show vaccination rates well below official targets; however, these figures improved significantly after the COVID-19 pandemic. Given the importance of achieving and maintaining high vaccination rates in order to avoid the clinical and economic impact of influenza, our multidisciplinary group of experts on vaccines analyzed the impact of low vaccination rates in Spain and drafted a series of measures to boost influenza vaccination coverage, particularly among priority groups.

Speech Recognition and Neural Networks based Talking Health Care Bot (THCB): Medibot

The COVID-19 pandemic has affected healthcare in several ways. Some patients were unable to make it to appointments due to curfews, transportation restrictions, and stay-at-home directives, while less urgent procedures were postponed or cancelled. Others steered clear of hospitals out of fear of contracting an infection. With the use of a conversational artificial intelligence-based program, the Talking Health Care Bot (THCB) could be useful during the pandemic by allowing patients to receive supportive care without physically visiting a hospital. Therefore, the THCB will drastically and quickly change in-person care to patient consultation through the internet. To give patients free primary healthcare and to narrow the supply-demand gap for human healthcare professionals, this work created a conversational bot based on artificial intelligence and machine learning. The study proposes a revolutionary computer program that serves as a patient's personal virtual doctor. The program was carefully created and thoroughly trained to communicate with patients as if they were real people. Based on a serverless architecture, this application predicts the disease based on the symptoms of the patients. A Talking Healthcare chatbot confronts several challenges, but the user's accent is by far the most challenging. This study has then evaluated the proposed model by using one hundred different voices and symptoms, achieving an accuracy rate of 77%. © 2023 IEEE.

What Do We Know? A Bibliometric Analysis of Current Literature on COVID-19 and its Implications

The COVID-19 pandemic has plunged the world into chaos by affecting people's lifestyles and imposing immense pressures on healthcare professionals. Since its outbreak in Wuhan, China, back in December 2019, researchers all across the globe have been working tirelessly to provide reliable insights to understand and combat the virus. As a result, the number of publications related to the novel coronavirus has been increasing rapidly. This study aims to quantify and summarize the progress of SARS-CoV-2 related research from November 2019 onwards to January 2021 by employing a bibliometric analysis and topic modelling approaches. A total of 33,159 research publications, downloaded from the Web of Science (WoS) core collection database, were analyzed. The key aspects of our study include identifying important publications, their distribution across countries and organizations, important journals and central authors who have made a significant contribution to the current literature. We have also delineated the major themes addressed in the academic community. © 2022 IEEE Computer Society. All rights reserved.

PSYCHOLOGICAL DISTRESS AND JOB SATISFACTION AMONG HEALTH CARE PROFESSIONALS IN POST COVID-19 ERA

This aim of this research was twofold: First to examine the role of psychological distress in relation to job satisfaction among health care professionals in post COVIDE-19 era. Second to examine the gender difference on the variables of psychological distress and job satisfaction among health care professionals in post COVID-19 era. A sample of 150 health care providers was chosen from various hospitals of Faisalabad and Toba Tek Singh, Pakistan. Psychological distress, and job satisfaction were measured with the use of the Psychological Distress Scale (Kessler et al., 2003) and the Job Satisfaction Scale (Locke, 1976) respectively. The linear regression analysis reveals a significant predictive association between psychological distress and job satisfaction. The independent t-test reveals an insignificant gender difference on the variables of psychological distress and job satisfaction among health care professionals. The study has significant implications for mental health of health care professionals.

Control of COVID 19: Knowledge and Practices of Health Professionals in Hospitals Towards Patients and the Environment in Morocco (Meknes)

Coronavirus 2019 is considered the health disaster of the century and has caused a wave of global panic. Healthcare professionals were at the forefront of this pandemic to provide quality care respecting the safety of patients and the environment. The objective of this study is to determine the preventive measures applied by healthcare professionals towards patients and the environment to combat Covid19. The study was realized during April and May 2020 at the public hospital dedicated to the care of Covid patients in central Morocco in Meknes. Convenience sampling was used to collect the data. 104 people participated in the study, including 61 (58.7%) nurses and 12 (11.5%) doctors. Also, 73 (70.2%) of the healthcare professionals were men and 35 (33.7%) contracted the Coronavirus during their healthcare activity. According to the participants, the causes of this infection lie mainly in their interaction with their professional environment (71.4%). The main preventive measures applied by healthcare professionals were regular hand washing and wearing 104 masks (100%), of which 88 (84.6%) used the FFP2 mask and wore personal protective equipment. However, healthcare professionals were found to adopt other environmental practices, including surface disinfection 95 (91.3%), ventilation and sterilization of premises 46 (44.2%), maintenance and sterilization of equipment 78 (75%), and effective management of hospital waste 75 (72.1%). The study concluded that the preventive measures applied by the professionals were sufficient and complied with global recommendations to minimize the risk of contamination and maintain a healthy healthcare environment for themselves and their patients. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.