• COVID-19 cases in the tropical regions were relatively lower than the European & American regions. • Observed a substantial reduction in NO 2 , low reduction in CO, and low to moderate reduction in AOD • High COVID-19 hazard (AH: 4 to 9 g m −3) in major of the globe during April-July 2020 • Northern Hemisphere may be more susceptible compared to tropical regions in May-July 2020. • Tropical regions may be comparatively more prone to outbreaks in October-November 2020.

Introduction Medical students are known to have high levels of depression, anxiety and stress from the high-pressure environments that they study and train in. The coronavirus pandemic presents source of stress and anxiety to large populations in general, and to healthcare professionals in particular. This study was undertaken to assess the psychological effects of this pandemic on the mental health of medical students and trainees. Materials and Methods An online questionnaire was designed to capture information on the participant’s anxieties related to the pandemic and included a validated tool for the assessment of anxiety and depression symptoms (GAD-7 and PHQ-9, respectively). The questionnaire was prepared on Google Forms, and the link to the questionnaire was disseminated to 113 medical students and junior doctors on 19 April 2020, and the survey closed on 22 April 2020 midnight. Results The survey was sent to 113 students, and 83 students participated. Of the participants, 47 (56.6%) were female and 36 (43.4%) were male, and 80 (96.4%) were aged less than 30 years old. Formal anxiety and depression scores using the GAD-7 and PHQ-9 tools indicated 15/82 (18.3%) had anxiety scores of 0 (lowest possible) and 21/82 (25.6%) had the lowest possible depression score of 0. However, 6/82 (7.3%) had scores that were classified as severe depression. Females had significantly higher median anxiety (5 v 2, p < 0.002) and depression scores (5 v 3, p = 0.025) than male participants. Direct patient care and care of patients with Covid-19 did not result in significant deterioration in anxiety and depression. Conclusion Female students/junior doctors showed higher anxiety and depression scores than males. Direct patient care and care of patients with Covid-19 did not result in a measurable deterioration in anxiety and depression in this study. In this stressful pandemic situation, it is imperative to look after the mental health of healthcare workers as well as patients.

Errors occur most frequently outside the blood bank, and the bedside of the patient is the main location.

The COVID-19 pandemic has so far infected 25 385 043 people and has taken 280 683 lives (18 May 2021). Several infectious variants are circulating in the country, including the B.1.1.7, B.1.351, B.1.617, and B.1.618. Preventive strategies may include a large-scale TTT approach, imposing IPC- 144 or lockdown in the hotspot areas, and mass vaccination.

People of South Asian origin are at a high risk of developing diabetes compared to that of other ethnic groups. Recent evidence suggests an emerging epidemic of youth-onset type 2 diabetes (T2DM) in the region, in parallel with the childhood obesity epidemic. Many risk factors such as foetal and early-life influences, the South Asian phenotype, family history of diabetes and environment factors are responsible for the early occurrence of T2DM in South Asia. The high risk supports the need for the opportunistic screening of children and adolescents for diabetes in South Asian countries. Early detection, lifestyle modification, weight reduction and drugs are central to the care of children with T2DM. Both population-based preventive strategies and interventions targeting children and adolescents with obesity and impaired glucose tolerance are required to combat the epidemic of youth-onset T2DM in South Asia.

Tropical cyclone “Amphan” developed as a super cyclone on 19 May 2020 and caused severe impact on the landmass with very high torrential precipitation (>250 mm day −1 ), and extremely high wind speed (>150 km h −1 ) after landfall on 20 May 2020. The tropical cyclone Amphan largely affected agricultural land (78.2%) and forest, including mangroves (10.8%) in eastern India and Bangladesh. The built-up area over the trajectory of the cyclone and its proximity, including eastern parts of the Kolkata metropolitan area, was considerably affected by the cyclone due to the high population density and poor structural and community planning. Although the regions with close proximities to cyclones’ trajectory (2033 km 2 area under <2 km proximity) were affected severely, the presence of mangrove forest in Sundarban substantially reduced the magnitude of the tropical cyclone. A considerable decrease (~30%) in aerosol optical depth (AOD) in April–May 2020 as compared to that in 2019 is considered one of the major causes of the development of the warm pool and cyclogenesis in the Bay of Bengal. The number of COVID-19 cases increased by ~70% in the post-cyclonic period (29 May 2020) compared to that in the pre-cyclonic period (19 May 2020) illustrating the impact of the cyclonic hazard.

The COVID-19 viral disease surfaced at the end of 2019 and quickly spread across the globe. To rapidly respond to this pandemic and offer data support for various communities (e.g., decision-makers in health departments and governments, researchers in academia, public citizens), the National Science Foundation (NSF) spatiotemporal innovation center constructed a spatiotemporal platform with various task forces including international researchers and implementation strategies. Compared to similar platforms that only offer viral and health data, this platform views virus-related environmental data collection (EDC) an important component for the geospatial analysis of the pandemic. The EDC contains environmental factors either proven or with potential to influence the spread of COVID-19 and virulence or influence the impact of the pandemic on human health (e.g., temperature, humidity, precipitation, air quality index and pollutants, nighttime light (NTL)). In this platform/framework, environmental data are processed and organized across multiple spatiotemporal scales for a variety of applications (e.g., global mapping of daily temperature, humidity, precipitation, correlation of the pandemic to the mean values of climate and weather factors by city). This paper introduces the raw input data, construction and metadata of reprocessed data, and data storage, as well as the sharing and quality control methodologies of the COVID-19 related environmental data collection.

Background: Diabetes mellitus (DM) is widely spread in South Asian (ASEAN) and Indian sub-continent. The increasing healthcare costs of DM can be prevented in the developing world by improved public healthcare interventions. Modifiable risk factors of DM like sedentary lifestyle, obesity, and stressful conditions are associated with its progression; however, the epidemiological data collected by Public Institutions are limited. Summary: A review of published literature describing geographic distribution of DM and associated dementia in South Asian region, particularly India, was conducted with the purpose of assessing the feasibility and challenges associated with the Yoga-based risk reduction. PubMed and Google Scholar databases were searched for DM and dementia-related articles by using a combination of keywords: Diabetes, Diabetes related Dementia Southeast Asia, Pre-diabetes, Yoga, lifestyle modification, Dementia and Exercise. The epidemiological data generated from these diseases have not prompted to any major public health policies. Yoga can be a cost-effective intervention for the prevention of Type 2 DM (T2DM) and its associated cognitive decline when detected early. If nationwide intervention of Yoga is brought about by the state, its integration in health care will become more meaningful and acceptable. Key Message: Studies suggest that Yoga and change in lifestyle can modify the health risks associated with T2DM and associated dementia if it is mainstreamed with the public health initiative of Ayushman Bharat scheme.