Rethinking Idioms of Distress and Resilience in Public health in a Post-Pandemic World: Delving into the intricate interplay amidst stress, resilience, and stroke

Background The COVID-19 pandemic has had a profound impact on global mental health, with an increase in stress, anxiety, and depression reported worldwide. The pandemic has brought about many changes and challenges, such as social isolation, uncertainty, and fear, and these can all contribute to emotional and mental distress. In addition to it there is emerging evidence suggesting a relationship between COVID-19 related stress and the incidence of stroke. Psychological factors such as stress can escalate the risk of a stroke by modulating sympathomimetic activity, affecting coagulation or heart rhythm.(1) While more research is needed to fully understand the relationship between COVID-19 related stress and stroke, it is important for individuals to manage their stress levels and prioritize their physical and mental health during this challenging time. In order to effectively address the mental health needs of individuals and communities in a post-pandemic world, it is important to rethink traditional approaches to idioms of distress and resilience in public health. [ FROM AUTHOR] Copyright of Journal of Cardiovascular Disease Research (Journal of Cardiovascular Disease Research) is the property of Journal of Cardiovascular Disease Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Whether Early Steroid dose is associated with lower mortality in COVID-19 critically ill Patients- An exploratory chart review.

INTRODUCTION: Steroids have shown its usefulness in critically ill COVID-19 patients. However, the time of starting steroid and dose tailored to severity remain a matter of inquiry due to still emerging evidences and wide-ranging concerns of benefits and harms. We did a retrospective record analysis in an apex teaching hospital ICU setting to explore optimal doses and duration of steroid therapy which can decrease mortality. METHODOLOGY: 114 adults with COVID-19-ARDS admitted to ICU between 20thMarch-15thAugust2020 were included in chart review. We did preliminary exploratory analysis (rooted in steroid therapy matrix categorized by dose and duration) to understand the effect of several covariates on survival. This was followed by univariate and multivariate Cox proportion hazard regression analysis and model diagnostics. RESULTS: Exploratory analysis and visualization indicated age, optimal steroid, severity (measured in P/F) of disease and infection status as potential covariates for survival. Univariate cox regression analysis showed significant positive association of age>60 years{2.6 (1.5-4.7)} and protective effect of optimum steroid{0.38(0.2-0.72)} on death (hazard) in critically ill patients. Multivariate cox regression analysis after adjusting effect of age showed protective effect of optimum steroid on hazard defined as death {0.46(0.23-0.87),LR=17.04,(p=2e-04)}.The concordance was 0.70 and model diagnostics fulfilled the assumption criteria for proportional hazard model. CONCLUSION: Optimal dose steroid as per defined 'optimum' (<24 hours and doses tailored to P/F at presentation) criteria can offer protective effect from mortality which persists after adjusting for age. This protective effect was not found to be negatively influenced by the risk of infection.

Impact of COVID-19 epidemic curtailment strategies in selected Indian states: An analysis by reproduction number and doubling time with incidence modelling.

The Government of India in-network with the state governments has implemented the epidemic curtailment strategies inclusive of case-isolation, quarantine and lockdown in response to ongoing novel coronavirus (COVID-19) outbreak. In this manuscript, we attempt to estimate the impact of these steps across ten selected Indian states using crowd-sourced data. The trajectory of the outbreak was parameterized by the reproduction number (R0), doubling time, and growth rate. These parameters were estimated at two time-periods after the enforcement of the lockdown on 24th March 2020, i.e. 15 days into lockdown and 30 days into lockdown. The authors used a crowd sourced database which is available in the public domain. After preparing the data for analysis, R0 was estimated using maximum likelihood (ML) method which is based on the expectation minimum algorithm where the distribution probability of secondary cases is maximized using the serial interval discretization. The doubling time and growth rate were estimated by the natural log transformation of the exponential growth equation. The overall analysis shows decreasing trends in time-varying reproduction numbers (R(t)) and growth rate (with a few exceptions) and increasing trends in doubling time. The curtailment strategies employed by the Indian government seem to be effective in reducing the transmission parameters of the COVID-19 epidemic. The estimated R(t) are still above the threshold of 1, and the resultant absolute case numbers show an increase with time. Future curtailment and mitigation strategies thus may take into account these findings while formulating further course of action.

Mental health implications of COVID-19 pandemic and its response in India.

INTRODUCTION: Mental health concerns and treatment usually take a backseat when the limited resources are geared for pandemic containment. In this global humanitarian crisis of the COVID-19 pandemic, mental health issues have been reported from all over the world. OBJECTIVES: In this study, we attempt to review the prevailing mental health issues during the COVID-19 pandemic through global experiences, and reactive strategies established in mental health care with special reference to the Indian context. By performing a rapid synthesis of available evidence, we aim to propose a conceptual and recommendation framework for mental health issues during the COVID-19 pandemic. METHODS: A search of the PubMed electronic database and google scholar were undertaken using the search terms 'novel coronavirus', 'COVID-19', 'nCoV', SARS-CoV-2, 'mental health', 'psychiatry', 'psychology', 'anxiety', 'depression' and 'stress' in various permutations and combinations. Published journals, magazines and newspaper articles, official webpages and independent websites of various institutions and non-government organizations, verified social media portals were compiled. RESULTS: The major mental health issues reported were stress, anxiety, depression, insomnia, denial, anger and fear. Children and older people, frontline workers, people with existing mental health illnesses were among the vulnerable in this context. COVID-19 related suicides have also been increasingly common. Globally, measures have been taken to address mental health issues through the use of guidelines and intervention strategies. The role of social media has also been immense in this context. State-specific intervention strategies, telepsychiatry consultations, toll free number specific for psychological and behavioral issues have been issued by the Government of India. CONCLUSION: Keeping a positive approach, developing vulnerable-group-specific need-based interventions with proper risk communication strategies and keeping at par with the evolving epidemiology of COVID-19 would be instrumental in guiding the planning and prioritization of mental health care resources to serve the most vulnerable.