ABSTRACT
Purpose>This study aims to explore patterns of Emergency Medical Services (EMS) personnel's mental health, regarding their levels of anxiety, depression, stress, COVID-19 anxiety, obsessive-compulsive symptoms and well-being;and to explore variables that contribute to these patterns, among sociodemographic/professional and COVID-19 experience variables.Design/methodology/approach>Participants were 214 EMS personnel, who answered the Patient-Health Questionnaire, Perceived Stress Scale, COVID-19 Anxiety Scale, Obsessive-Compulsive Inventory, Well-Being Questionnaire and COVID-19 related questions.Findings>EMS personnel showed an adequate psychological adjustment during COVID-19. Two clusters/patterns were found: the poorly (34%) and the well (66%) psychologically-adjusted. Personnel's age, COVID-19 fear and workplace security measures' adequacy contributed to which pattern they were more likely to belong to.Research limitations/implications>Despite being cross-sectional and not controlling for pre-COVID-19 data, this study adds to the COVID-19 literature. Findings call for the need to explore: other COVID-19 fears;how personnel perceive workplace security measures;COVID-19 valid instruments;pre-COVID-19 data;and mental health patterns with different rescuers.Practical implications>Findings explored EMS personnel's patterns of mental health during the COVID-19, as well as its covariates. Results allow to better prepare emergency management, which can develop prevention strategies focused on older professionals, COVID-19 related fears and how personnel assess security measures.Originality/value>This study contributes to the scarce literature focused on COVID-19 mental health patterns instead of focussing on isolated mental health variables, as well as what contributes to these patterns. Moreover, it is one of the few studies that focused on EMS personnel rather than hospital staff.
ABSTRACT
Introduction: In a global context, COVID-19 is the most significant health threat in the present days, evidenced by the fact that, in just over four months, SARS-CoV-2 has spread to 171 countries, reaching a Pandemic status. Most patients with COVID-19 have a mild course of the disease. However, approximately 20% develop severe illness with a high mortality rate which is associated with age, comorbidities, and immunosuppression. Epidemiological studies are used to reveal the extent of viral spread in homes, communities, and hospitals. Thus, preventive and control measures can be established by the authorities. Objective: In this study, patients with suspect COVID-19 symptoms who search for hospital care at the city of Sao Jose do Rio Preto (Sao Paulo, Brazil) were monitored, in order to identify the first case of this new disease in the region. In the first two months (March and April), more than 3000 individuals looked for the public and private health system with suspected respiratory symptoms, but only 164 (8.4%) were COVID-19 confirmed. Results: From those, males (56.1%) and patients of the age distribution of 16-59 (91.2%), with diarrhea (22.2%), runny nose (25%), altered taste (15.9%), and anosmia (11.6%) presented statistical significance, although none comorbidities were related with COVID-19 occurrence. The odds ratio analysis supports this finding. Days of onset of symptoms are positively associated with whit viral load, and the same happens with the occurrence of symptoms (dyspnea and low saturation).
Subject(s)
Signs and Symptoms, Respiratory , Dyspnea , Critical Illness , Olfaction Disorders , COVID-19 , DiarrheaABSTRACT
High frequency screening of populations has been proposed as a strategy in facilitating control of the COVID-19 pandemic. We use computational modeling, coupled with clinical data from rapid antigen tests, to predict the impact of frequent viral antigen rapid testing on COVID-19 spread and outcomes. Using patient nasal or nasopharyngeal swab specimens, we demonstrate that the sensitivity/specificity of two rapid antigen tests compared to quantitative real-time polymerase chain reaction (qRT-PCR) are 80.0%/91.1% and 84.7%/85.7%, respectively; moreover, sensitivity correlates directly with viral load. Based on COVID-19 data from three regions in the United States and São José do Rio Preto, Brazil, we show that high frequency, strategic population-wide rapid testing, even at varied accuracy levels, diminishes COVID-19 infections, hospitalizations, and deaths at a fraction of the cost of nucleic acid detection via qRT-PCR. We propose large-scale antigen-based surveillance as a viable strategy to control SARS-CoV-2 spread and to enable societal re-opening.