Effect of lockdown amid second wave of COVID-19 on environmental noise scenario of the megacity Delhi, India.

This paper analyzes the impact of second wave of COVID-19 lockdown on environmental noise levels of 25 sites in Delhi city and compares the noise scenario during pre-lockdown, lockdown, and post-lockdown periods. The study utilized the noise monitoring data acquired from 25 real-time ambient noise monitoring stations, installed by the Delhi Pollution Control Committee, Delhi, at various sites throughout Delhi city. A significant reduction of up to 10 and 3 dB(A) in day and night equivalent noise levels, respectively, had been observed during the lockdown period as compared to the pre-lockdown and post-lockdown periods. The study also revealed that only nine sites, including four industrial and five commercial zone sites, complied with the ambient noise standards during lockdown period, and no silence or residential zone sites complied with the ambient noise standards even during the lockdown period. A roadmap for environmental noise management and control is suggested. The study also reports the community's perception toward the change in acoustic environment of Delhi city during the lockdown period by conducting an environmental noise perception survey. The present study should be helpful in devising noise control action plans and policy interventions for environmental noise management and control in the metropolitan city Delhi, India.

Clinical profile and Prevalence of poisoning patients presenting to the emergency department of a teaching hospital in Kerala: A retrospective comparative study before and during COVID-19 pandemic

Background: Emergency physicians must be updated about the variations in poisoning pattern during Covid19 pandemic. Limited data exist on the incidence and characteristics of patients presenting with poisoning in Indian Emergency Departments (ED) during the COVID 19 pandemic. Hence, we aimed to explore the impact of Covid19 pandemic on poisoning cases presenting to the ED. Methods: This cross-sectional retrospective study was conducted on poisoning patients presenting to ED during the pandemic period (April 1-October 30, 2020 (period 2)), and a matching period before the pandemic (September 1,2019 to March 31, 2020 (period 1)). The rate of prevalence and clinical profile were compared between period 1 and 2 using appropriate statistical test. Results: A total of 111 (periods 1 = 57, and periods 2 = 54) cases were analysed. Poisoning prevalence rates had slightly increased by 2.7% before the pandemic (51.33%) in comparison to during the pandemic (48.6%) period (p=0.3). Females were predominant in both periods, and the mean age of 32.5 years. The predominant (57%) patient age group was 15-34 years. 36.9% (n=41) patients consumed multiple poisons, 19.8% (n=22) consumed paracetamol, and 14.4% (n=16) patients consumed psychiatric medications. Before lockdown, 27.02% (n=30) patients presented within 3 hours ingestion, and 21.6% (n=24) presented after 3 hours ingestion (p=0.12). A significant delay in arrival of poisoning cases during lockdown (p= 0.12) with increased hospital admission (p=0.03) was observed. A psychiatric disorder was observed in 36.03% cases. Majority of the cases were admitted in the ICU, and 0.9%(n=1) death was recorded. Conclusions: This is the first Indian study that describes the incidence of poisoning cases and their pattern during the COVID 19pandemic period, study revealed that increased mental health crisis in low resource settings in rural Kerala affects predominantly young population. Study implies the importance of priming the mental health care professionals to initiate their mental health screening programmes.

Digitalisation of medical nutrition therapy during COVID-19 pandemic

Nutrition and clinical dietetic services provide evidence-based support which has become essential for maintaining healthy lifestyle and avoiding malnutrition among population. National health with digital technology integration is gaining importance in the current COVID-19 pandemic scenario. Digital health technologies offer valuable means for community to create and share information about healthcare. Measurement of food intake, energy expenditure and constant interaction in the form of personalized information has been offered by digital nutrition platforms. A 3 month study was conducted to assess the preferences of hand-held device users towards means of diet consultation using digital media when compared to traditional diet consultation methods, seeking options to develop Artificial Intelligence (AI) integrated cloud based digital health solution. It involved a Google survey using the digital platform, WhatsApp and Face book channels. Of the different criteria offered, diet consultation using smart phones scored the maximum (84.1%, n=1062) which were taken as the supportive data to develop the digital diet consultation application for hand-held device users for personalized nutrition/diet consultation support. Along with that, secondary data analysis of people choosing digital diet consultation for a period of 16 months had been observed and an increasing trend towards the same was found out. COVID-19 has brought the benefit of being able to utilize digital solutions to nutrition practice, rather than those being options for 'add on'.

Process-based diagnostics of extreme pollution trail using numerical modelling during fatal second COVID-19 wave in the Indian capital.

The world's worst outbreak, the second COVID-19 wave, not only unleashed unprecedented devastation of human life, but also made an impact of lockdown in the Indian capital, New Delhi, in particulate matter (PM: PM2.5 and PM10) virtually ineffective during April to May 2021. The air quality remained not only unabated but also was marred by some unusual extreme pollution events. SAFAR-framework model simulations with different sensitivity experiments were conducted using the newly developed lockdown emission inventory to understand various processes responsible for these anomalies in PM. Model results well captured the magnitude and variations of the observed PM before and after the lockdown but significantly underestimated their levels in the initial period of lockdown followed by the first high pollution event when the mortality counts were at their peak (∼400 deaths/day). It is believed that an unaccounted emission source was playing a leading role after balancing off the impact of curtailed lockdown emissions. The model suggests that the unprecedented surge in PM10 (690 µg/m3) on May 23, 2021, though Delhi was still under lockdown, was associated with large-scale dust transport originating from the north west part of India combined with the thunderstorm. The rainfall and local dust lifting played decisive roles in other unusual events. Obtained results and the proposed interpretation are likely to enhance our understanding and envisaged to help policymakers to frame suitable strategies in such kinds of emergencies in the future.

Impact of COVID-19 induced lockdown and unlock down phases on the ambient air quality of Delhi, capital city of India.

The present study deals with the impact of the pandemic outbreak of COVID-19 on the ambient air quality in the capital city of India. Real-time data were collected from eight continuous ambient air quality monitoring stations measuring important air quality parameters (NO2, PM10 and PM2.5). Results revealed that the city's air quality had improved significantly during the lockdown period due to COVID-19 outbreak. The concentration of gaseous and particulate matter during the lockdown period (March-May 2020) declined significantly compared with the preceding years' data from the same timeframe. However, the ambient air quality deteriorates with the onset of unlocking phases and post-monsoon season (October 2020). Higher concentration of NO2, PM10 and PM2.5 were recorded at industrial (S1 and S2) and hotspot (S4 and S5) sites. The lowest concentrations of studied pollutants were observed during the first phase of lockdown (March 24 - May 14, 2020). The present study, once again, establishes the direct effect of anthropogenic activities and deteriorating ambient air quality of Delhi.

Hospitalization Rates and Characteristics of Patients Hospitalized with Laboratory-Confirmed Coronavirus Disease 2019 — COVID-NET, 14 States, March 1–30, 2020

The Coronavirus Disease 2019–Associated Hospitalization Surveillance Network (COVID-NET) was implemented to produce robust, weekly, age-stratified COVID-19–associated hospitalization rates.

Towards baseline air pollution under COVID-19: implication for chronic health and policy research for Delhi, India

The Megacity of Delhi, home to 19 million inhabitants, is infamous for its poor air quality mainly due to anthropogenic emissions. While the COVID-19 pandemic is a health emergency, lockdown due to it saw an unprecedented decline in emission sources of pollutants by ~85%-90% in Delhi, resulting in sharp decline in the concentration of majority of pollutants. Here we report the experimental estimate of baseline level that is defined as the minimum level reached after lockdown under consistent fair weather condi-tion of major criteria pollutants. This may be consi-dered as an indicator of the background levels to which the population is chronically exposed. The con-sequences of such chronic air pollution exposure are excess respiratory and cardiovascular morbidity and mortality which are reported to be more serious than severe pollution episodes by epidemiologists. As the lockdown which was imposed on 24 March 2020, was extended during April and May, we present the pre-vailing ambient pollution levels and compare them with the baseline levels. Results are based on India’s largest monitoring network of 34 stations in Delhi. The findings are critical for policymakers to fine-tune ambient air quality standards and regulations leading to the development of effective risk management poli-cies and control strategies. © 2020. All rights reserved.