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Health professionals are extremely exposed to psychosocial risks, as they experience, in general, high levels of stress, anxiety, fatigue and suffering, due to the nature and location of their work. As a result, the health and well being of these professionals can be significantly compromised. In outbreaks of serious infectious diseases and pandemics, these risks become amplified and the health team is at greater risk of falling ill, presenting changes in mental health and psychological trauma, while caring for infected patients and becoming potential contaminants in their family and community. The objective is to study the mental health of professionals who work in Pediatric Intensive Care Units (PICUs) in Brazil, during and after the COVID-19 pandemic. The primary outcome will be the prevalence of burnout in the team involved with the care of critically ill children. Secondary outcomes such as anxiety, depression, quality of professional life, compassionate fatigue and post-traumatic stress disorder will be measured. Possible associations between demographic, work and coping variables (social support and resilience) with mental and emotional health outcomes will be investigated, in an exploratory character. It is a multicenter, observational, longitudinal study, with a descriptive and exploratory analytical component. Data collection will be carried out through an electronic survey during and after the COVID-19 pandemic.
This retrospective cohort study aims to characterise outcomes for patients treated on an intensive care unit (ICU) with COVID-19 in England and Wales, one year after discharge from hospital. Outcomes will be compared with patients admitted as an emergency to an ICU for other conditions. The study will use existing national audit data linked to routine healthcare datasets.
The reason the investigators want to do this research; Especially after Covid-19 infection, no research has been found on functional status in the long term. Therefore, in our study, the investigators aimed to evaluate exercise capacity, functional status, peripheral muscle strength, balance, anxiety and depression level, consciousness, work productivity, pain, fear of movement, and quality of life in patients with Covid-19 and to compare them with healthy individuals who have not had COVID-19.
This observational study will follow the chiropractors and naprapaths in Sweden to study how work environment, health, and economy is changing during the COVID-19 pandemic.
Chest computed tomography of patients having coronavirus disease (COVID-19) will be analyzed with regards to vascular abnormalities (pulmonary embolism and vascular thickening), and their association with lung inflammation. The prevalence, severity, distribution, and prognostic value of chest CT findings will be assessed. Patients with vascular abnormalities will be compared to patients without, which is supposed to provide insights into the prognostic role of such abnormalities, and the potential impact on treatment strategy.
The ongoing SARS-CoV2 or Covid-19 pandemic is causing a major global health crisis. In France, it prompted an urgent reorganization of the healthcare supply, mobilizing caregivers and hospital staff in a climate of uncertainty. Health services have been put to the test, some staff being on the front line, others having faced the reorganization of the health system necessitated by such a pandemic. Frontline caregivers have been compared to "fighters on the front lines." They encountered many difficulties, such as direct exposure to patients with a high viral load, exposure to the risk of contamination, physical exhaustion, reorganization of workspaces, adaptation to rigid work organizations, the management of the shortage of materials, the unusually high number of deaths among patients, colleagues or relatives, ethical questions relating to decision-making in a strained healthcare system. The psychological impact on these hospital staff is an indirect issue of such a pandemic in terms of mental health. The investigators have little data in the literature on the incidence of psychiatric episodes in the post-epidemic period. Work on the impact of two major pandemics of influenza A H1N1 (2009) and SARS-CoV-1 (2003) on the mental health of caregivers and other staff working in hospitals reports increased rates of mental disorders after discharge from anxiety-type crisis, depression and post-traumatic stress. This over-representation of mental disorders was still found several years after the epidemic. Similar results are emerging in recent studies involving hospital staff who were used in the Covid-19 crisis. These highlight a certain number of risk factors for the occurrence of these disorders (young age, nursing profession, underlying psychiatric pathology, exercise carried out in the first line of Covid).
Multicenter Study assessing the safety, efficacy, and immunogenicity of the candidate vaccine GRAd-COV2, compared to placebo, for the prevention of COVID-19. Participants will be adults ≥ 18 years of age who are healthy or have medically stable chronic diseases and are at increased risk for SARS-CoV-2 acquisition and COVID-19. In the phase II part approximately 900 participants will be randomized in a 1:1:1 ratio to receive i) 2 repeated (21 days apart) intramuscular (IM) doses of GRAd-COV2 at 1x10^11 viral particle (vp) (n = approximately 300 subjects) ii) 1 single IM dose of GRAd-COV2 at 2x10^11 vp plus 1 dose of placebo after 21 days (n= approximately 300 subject) or 2 doses of placebo (n = approximately 300 subjects) on day 1 and day 22. There will be 3 strata for randomization: ≥ 65 years, < 65 years and categorized to be at increased risk ("at risk") for the complications of COVID-19, and < 65 years "not at risk". Risk will be defined referring to the study participants' relevant past and current medical history. An independent Data Safety Monitoring Board will provide oversight, to ensure safe and ethical conduct of the Study; a Steering Committee will revise safety data (collected for 900 participants 1 week after dosing) and immunogenicity data (collected for 450 participants 5 weeks after the first dosing) generated in phase II part. Jointly DSMB and SC will recommend the expansion to phase III and the best regimen to be used.
Coronavirus disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), first appeared in China, and then spread around the world. In December 2019, a group of patients with pneumonia of unknown origin were infected after exposure to the market in Wuhan, Hubei province, China. Very quickly, a new coronavirus was isolated from a sample of a patient's lower respiratory tract and the entire virus genome was sequenced. This new coronavirus, named SARS-CoV-2 for its genetic homology with SARS-CoV, has shown worldwide spread. Thus, on January 30, 2020, the World Health Organization (WHO) announced the COVID-19 epidemic as a threat to public health at the international level, then, in March 2020, the global situation degenerated into a pandemic. Johns Hopkins University has reported more than 7,600,000 cases of infections and more than 427,000 deaths as of June 13, 20203. Due to the rapid progression of the COVID-19 pandemic and the limited capacity of molecular laboratory tests, the concept of delocalized molecular tests appears to be relevant. Indeed, the urgent need to increase testing for COVID-19 has been clearly identified as an essential part of the strategy to combat the coronavirus worldwide. In fact, COVID-19 represents a major public health problem currently causing a rapidly increasing number of infections and significant morbidity and mortality worldwide. As of July 1, 2020, more than 10 million people worldwide have been infected with SARS-CoV-211. As of August 25, 2020, this tally is 23,741,562 cases of contamination and 813,820 deaths following Johns Hopkins University.
The medical charts of all COVID-19 cases (n=1200) from 17 long-term care facilities in Montreal, Canada will be reviewed, to compare patients who survived to patients who did not survive. Through multilevel logistic regression, the risk of death will be estimated for institutional predictors of mortality, while controlling for individual risk factors. Individual covariates include clinical features (age, sex, Charlston comorbidity index, SMAF autonomy score, severity criteria) and medical treatments (IV fluids, anticoagulation, oxygen, regular opiates, corticosteroids). Aggregate covariates include epidemiological data (attack rates, timing of outbreak) and institutional characteristics (number of beds, air exchange per hour, presence of a dedicated COVID-19 unit at the time of outbreak, staff compliance to infection control measures, staff infection rates, understaffing, proportion of semi-private rooms, proportion of wandering wards and other special units).
The purpose of this study is to determine whether continuous heart rate obtained from wearable devices and self-reported data from surveys and symptom logs alongside saliva samples can be used to help students self-monitor for infection and eventually be able to create a predictive model to detect infection or illness early.