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.

Due to the COVID-19 pandemic, populations from many countries have been confined at home for extended periods of time in stressful environmental and media conditions. Cross-sectional studies already evidence deleterious psychological consequences, with poor sleep as a risk factor for impaired mental health. However, limitations of cross-sectional assessments are response bias tendencies, and the inability to track daily fluctuations in specific subjective experiences in extended confinement conditions. In a prospective study conducted across three European countries, we queried participants (N = 166) twice a day through an online interface about their sleep quality and their negative psychological experiences for two consecutive weeks. Focus was set on between-and within-person associations of subjective sleep quality with daytime experiences such as rumination, psychotic-like experiences, and somatic complaints about the typical symptoms of the coronavirus. Results show that daily reports of country-specific COVID-19 deaths predicted increased negative mood, psychotic-like experiences and somatic complaints during the same day, and decreased subjective sleep quality the following night. Disrupted sleep was globally associated with negative psychological outcomes during the study period, and a relatively poorer night of sleep predicted increased rumination, psychotic-like experiences, and somatic complaints the following day. This temporal association was not paralleled by daytime mental complaints predicting relatively poorer sleep quality on the following night. Our findings show that night-to-night changes in sleep quality predict how individuals cope the next day with daily challenges induced by home confinement.

Coronavirus disease 2019 (COVID-19) being an acute respiratory disease caused by a novel coronavirus (SARS-CoV-2) is transmitted in most instances through respiratory droplets, direct contact with cases, and also through contaminated surfaces/objects. Though the virus survives on environmental surfaces for varied periods, it gets easily inactivated by disinfectants. Therefore, this article aims to highlight the role of surface disinfection and hand disinfection during the COVID-19 pandemic. Disinfection with appropriate and recommended physical or chemical disinfectants will not only reduce the spread of the disease but also play a significant part in flattening the curve. Alcohol-based disinfectants and other chemical disinfectants play major roles. Ether, ethanol, hydrogen peroxide, sodium hypochlorite, other chlorine-containing disinfectants, peracetic acid, chloroform used under appropriate concentrations and techniques are necessary to stop the chain of transmission. Hand disinfection using soap and water or alcohol-based hand rubs are also of equal importance. Irrespective of the importance, the judicious use of disinfectants is also necessary. Therefore, the fastest, easiest, and most effective way to halt or reduce the spread of SARS-CoV-2 the virus resulting in the coronavirus disease (COVID-19) is through surface disinfection and handwashing with soap and water and its role in the COVID-19 pandemic is highly important.

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 ( R 0 ), doubling time, and growth rate. These parameters were estimated at two time-periods after the enforcement of the lockdown on 24 th 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, R 0 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.

Context:Functional ability considered a proxy for healthy aging, not only related to mental and physical health but it also determines social well-being. Eliciting the determinants of functionality components among the elderly will assist in evolving with appropriate plans at both domiciliary and facility level to eliminate their sufferings and disabilities.Aim:The aim of this study is to find out the magnitude of poor functional status among the elderly and its predictors.Materials and Methods:This is a community-based cross-sectional study conducted among 246 geriatric people in a rural area of West Bengal from August 2017 to December 2017; data were analyzed using the SPSS software (version 16.0. Chicago, SPSS Inc.). Logistic regression analysis was performed to find out the factors associated with poor functional status (activities of daily living [ADL] and instrumental ADL [IADL]).Results:The study concluded that 32.4% and 59.3% were dependent for basic ADL and IADL, respectively. Binary logistics showed people aged >70 years, female gender, less than primary level education, widowed/separated, who lived in the joint family, poorest percentile of economic status, who were depressed and who suffered from multimorbidity had increased odds of dependency for ADL and IADL. In multivariate logit regression, age >70 years and depression remained significant for ADL; in addition, marital status, education, and family type remained significant for IADL.Conclusion:There should be a provision for community-based comprehensive geriatric health and disability assessment, as it enables older people to avert the illness at the early stage, to delay the onset of disabling diseases. This will ensure their participation in the upliftment of the society, and they thus will be less dependent on their progeny.