Effects of dietary intake behavior, food supply, nutrition, and health during the COVID-19 outbreak

The coronavirus disease 2019 (COVID-19) pandemic, which began in 2019, has far-reaching ramifications, including economic losses and health challenges that still affect various parts of the world. During our review, we learned that the entire world is working to stop the spread of the SARS-CoV-2 outbreak. We explore ways that may lower the danger of SARS-CoV-2 contamination and useful strategies to avoid the possibility of SARS-CoV-2 spreading through food. While hygienic protocols are required in the food supply sector, cleaning, disinfection, and the avoidance of cross-contamination across food categories and other related goods at different stages of the manufacturing process remain especially important because the virus can survive for long periods of time on inert materials such as food packaging. Furthermore, personal hygiene (regular washing and disinfection), wearing gloves and using masks, garments, and footwear dedicated to maintaining hygiene provide on-site safety for food sector personnel, supply chain intermediaries, and consumers. Restrictions imposed in response to the pandemic (e.g., closure of physical workplaces, canteens, cafes, restaurants, schools, and childcare institutions), changes in household grocery shopping frequency, individuals' perceived risk of COVID-19, income losses due to the pandemic, and sociodemographic factors are among the factors. The conclusions drawn from this study consider the implications of healthy diets, food system resilience, behavior change, and nutritional imbalance for policymakers and food supply chain participants, as well as the antimicrobial effects of vitamins and nutrients. During a public health crisis, people should eat less, necessitating preventive policies and nutritional advice to deal with this.

Solution of Solar Integrated Economic Load Dispatch Problems using COVID-19 Algorithm

Electrical power dispatch at a minimum cost of operation has been a challenging issue for thermal power stations and has research work has been carried out for decades. It has been observed that day by day resources of conventional energy are depleting so, the world is shifting towards renewable energy sources. This paper presents a novel technique COVID-19 Optimizer Algorithm (CVA) for solving the economic load dispatch problem of solar generation systems and thermal generating plants of a power system. The proposed method can be considered for solving the various types of economic load dispatch (ELD) problem considering numerous constraints viz. ramp rate limit & prohibited operating zones. Simulation results proved that the technique proposed performs way better than other modern optimization algorithms both in terms of quality of result obtained as well as computational efficiency. The robust nature of the CVA technique in solving solar integrated ELD problems can be inferred from the results. © 2022 IEEE.

Bidirectional Encoder Representations from Transformers for the COVID-19 vaccine stance classification

Vaccine-related information is awash on social media platforms like Twitter and Facebook. One party supports vaccination, while the other opposes vaccination and promotes misconceptions and misleading information about the risks of vaccination. The analysis of social media posts can give significant information into public opinion on vaccines, which can help government authorities in decision-making. In this work, an ensemble-based BERT model has been proposed for the classification of COVID-19 vaccine-related tweets into AntiVax, ProVax, and neural sentiment classes. The proposed model performed significantly well with a micro F1-score of 0.532 and an accuracy of 0.532 and achieved the second rank in the shared competition. © 2021 Copyright for this paper by its authors.

Healthcare Data Security Using Lightweight Protocol for Cyber Physical System

Healthcare systems are equipped with the latest technological advancement and remotely diagnose the patients. In critical conditions, the patients need continuous monitoring by health experts, which is almost impossible in many cases—for example- in the recent COVID-19 crisis when the hospitals are full of infected people. The advanced cyber-physical system (CPS) based medical devices supplement this monitoring system. Health specialists can connect with patients remotely and receive updated health reports simultaneously using Internet-enabled CPS devices. Due to the openness of security protocols, transferring information in the CPS module is a challenging task. Securing health data, on the other hand, is critical. Existing data security techniques, such as RSA and DSA, have drawbacks;one of the most prominent drawbacks of all existing data security strategies is a lack of resources. This study proposed a lightweight data security technique for sharing information in real-time to address this problem. The proposed approach is generalized, as it will work with all categories of data and provide security to the critical information of healthcare data. Additionally, the model is tested with the cross-platform dataset of different categories like.txt, .pdf, .doc, .png, etc., and found promising outcomes. IEEE

Impact of coronavirus disease-2019 and lockdown on non-coronavirus disease-2019 patients in India

The whole world is under the grip of the coronavirus disease (COVID) 2019 pandemic and in India, the virus has wreaked havoc and the victory against the contagion seems a distant dream. A series of lockdowns were imposed in India at both central and state level to halt the spread of the virus, the repercussions of which have been drastic. The major brunt fell on the patients due to suspension of various health and public transport services amidst the lockdown. This could have been prevented by better planning and its implementation and systematic phased out lockdown measures.

Assessment of water quality of river ganga during covid-19 lockdown

We have done a qualitative and quantitative analysis of Ganga River water in two areas namely Palta and Diamond Harbour, in the state of West Bengal, India. Anthropogenic activity is very high in these regions. Restriction of human activity near river basins due to the prolonged COVID-19 lockdown has brought remarkable changes in the environment. A comparison of the pre-lockdown period and the lockdown period was done. The study covered the years from March 2019 to May 2020. Results demonstrate improvement in surface water quality of River Ganga, during the lock-down period as there was less anthropogenic activity. The water quality test revealed that tur-bidity has reduced to <94% during the lockdown. River Ganga was one of the polluted rivers, unfit for a bath but physicochemical properties like turbidity, total suspended solids, and total dissolved solids have improved enormously during the lockdown. The chemical oxygen demand, biochemical oxygen demand has changed from 12 and 3 mg/L to <6 and 1.2 mg/L, respectively. Consecutively, dissolved oxygen level has increased from 6 to 12 mg/L. Low total coliform and fecal coliform counts indicated improvement in the bacteriological quality of water. The results of the present investigation establish a significant improvement in water quality. © 2021 Desalination Publications. All rights reserved.