Burnout is a major occupational problem among healthcare providers. During coronavirus disease (COVID-19) pandemic, the frontline health workforce is experiencing a high workload and multiple psychosocial stressors, which may affect their mental and emotional health, leading to burnout symptoms. Moreover, sleep deprivation and a critical lack of psychosocial support may aggravate such symptoms amidst COVID-19. Global evidence informs the need for adopting multipronged evidence-based approaches addressing burnout during this pandemic. Such interventions may include increasing the awareness of work-related stress and burnout, promoting mindfulness and self-care practices for promoting mental wellbeing, ensuring optimal mental health services, using digital technologies to address workplace stress and deliver mental health interventions, and improving organizational policies and practices emphasizing on addressing burnout among healthcare providers. As COVID-19 may impose unique workplace stress in addition to preexisting psychosocial burden among individuals, it is essential to prevent burnout through effective measures ensuring the mental and emotional wellbeing of healthcare providers globally.

Purpose of the Review: Seizures and epilepsy can be debilitating neurological conditions and have few known causes. Emerging evidence has highlighted the potential contribution of environmental exposures to the etiology of these conditions, possibly manifesting via neuroinflammation and increased oxidative stress in the brain. We conducted a scoping review of epidemiological literature linking air pollution and temperature exposures with incidence and acute aggravation of seizures and epilepsy. We systematically searched PubMed, Embase, Web of Science, and APA PsycINFO databases for peer-reviewed journal articles published in English from inception to February 7, 2024. Recent Findings: We identified a total of 34 studies: 16 examined air pollution exposure, 12 ambient temperature, and six examined both air pollution and ambient temperature. Most studies were conducted in Asia (China, Taiwan, South Korea, and Japan). Nearly all studies retrospectively derived acute (daily average), ambient, and postnatal exposure estimates from ground monitoring systems and ascertained epilepsy cases or seizure events through record linkage with medical records, health registry systems, or insurance claims data. Commonly assessed exposures were particulate matter (PM_2.5, PM₁₀), nitrogen dioxide (NO₂), sulfur dioxide (SO₂), carbon monoxide (CO), ozone (O₃), and daily mean ambient temperature. Overall, the main findings across studies lacked consistency, with mixed results reported for the associations of air pollutants and temperature metrics with both seizure incidence and acute aggravations of epilepsy.

A real-time operating system (RTOS) is an integral part of a real-time embedded system (RTES). Most of the RTESs work on dynamic environments, and hence, the computational cost of tasks cannot be calculated in advance. Thus, RTOSs play a significant role in the smooth operations of the RTES through efficient task scheduling schemes and resource managements. This article investigates the existing design challenges and scope of the modern RTOSs. A wide variety of latest RTOSs are discussed and elaborated in detail. A comparative study with their prospects has been explained so that interested readers can use the article as a readily available starting point for their further studies on this topic.

Ambient air pollution, temperature, and social stressor exposures are linked with asthma risk, with potential synergistic effects. We examined associations for acute pollution and temperature exposures, with modification by neighborhood violent crime and socioeconomic deprivation, on asthma morbidity among children aged 5-17 years year-round in New York City. Using conditional logistic regression in a time-stratified, case-crossover design, we quantified percent excess risk of asthma event per 10-unit increase in daily, residence-specific exposures to PM_2.5, NO₂, SO₂, O₃, and minimum daily temperature (Tmin). Data on 145,834 asthma cases presenting to NYC emergency departments from 2005 to 2011 were obtained from the New York Statewide Planning and Research Cooperative System (SPARCS). Residence- and day-specific spatiotemporal exposures were assigned using the NYC Community Air Survey (NYCCAS) spatial data and daily EPA pollution and NOAA weather data. Point-level NYPD violent crime data for 2009 (study midpoint) was aggregated, and Socioeconomic Deprivation Index (SDI) scores assigned, by census tract. Separate models were fit for each pollutant or temperature exposure for lag days 0-6, controlling for co-exposures and humidity, and mutually-adjusted interactions (modification) by quintile of violent crime and SDI were assessed. We observed stronger main effects for PM_2.5 and SO₂ in the cold season on lag day 1 [4.90% (95% CI: 3.77-6.04) and 8.57% (5.99-11.21), respectively]; Tmin in the cold season on lag day 0 [2.26% (1.25-3.28)]; and NO₂ and O₃ in the warm season on lag days 1 [7.86% (6.66-9.07)] and 2 [4.75% (3.53-5.97)], respectively. Violence and SDI modified the main effects in a non-linear manner; contrary to hypotheses, we found stronger associations in lower-violence and -deprivation quintiles. At very high stressor exposures, although asthma exacerbations were highly prevalent, pollution effects were less apparent-suggesting potential saturation effects in socio-environmental synergism.

Objectives: To synthesize the evidence on the effects of exposure to natural environment on mental health to inform future policymaking, practice, and research. Methods: A systematic search of nine major databases and additional sources were conducted using relevant keywords for the natural environment and mental health till November 2019. We included systematic reviews or meta-analyses reporting any measures of associations between the natural environment and mental health. The data on study characteristics and research findings were extracted using the JBI data extraction tool and synthesized narratively.Results: Twenty reviews were included in this umbrella review reporting both correlational and experimental studies. Among diverse population groups, the exposure to the natural environment was associated with improvements in depressive symptoms, anxiety, mood disorders, stress, cognitive and emotional functions, affect, happiness, and overall mental wellbeing. Conclusions: The findings of this review inform beneficial mental health outcomes associated with exposure to the natural environment. This umbrella review suggests collaborative policymaking, advanced research, and evidence-based practice protecting the natural environment and improving mental health across populations.

The coronavirus disease (COVID-19) has impacted not only physical health but also mental health and wellbeing globally. These impacts can be critically higher among marginalized individuals and populations like farmers in India. While most of them live in poor socioeconomic conditions, recent psychosocial challenges due to the COVID-19 lockdown had brought endless suffering in their lives. In this article, we describe a case of suicide of an Indian farmer amid COVID-19 lockdown, who had debts and could not find laborers during the lockdown leading to a helpless situation committing suicide. In India, nearly 16,500 farmers commit suicide each year, which can aggravate if psychosocial and economic challenges like COVID-19 continues to affect them. We recommend psychosocial interventions among vulnerable farmers alongside strengthening economic support and institutional measures alleviating socioeconomic challenges and minimizing disparities in social determinants of suicidal behavior to prevent suicide among Indian farmers amid the COVID-19 pandemic.