Impact of comorbidity on patients with COVID-19 in India: A nationwide analysis.

Background: The emergence of coronavirus disease (COVID-19) as a global pandemic has resulted in the loss of many lives and a significant decline in global economic losses. Thus, for a large country like India, there is a need to comprehend the dynamics of COVID-19 in a clustered way. Objective: To evaluate the clinical characteristics of patients with COVID-19 according to age, gender, and preexisting comorbidity. Patients with COVID-19 were categorized according to comorbidity, and the data over a 2-year period (1 January 2020 to 31 January 2022) were considered to analyze the impact of comorbidity on severe COVID-19 outcomes. Methods: For different age/gender groups, the distribution of COVID-19 positive, hospitalized, and mortality cases was estimated. The impact of comorbidity was assessed by computing incidence rate (IR), odds ratio (OR), and proportion analysis. Results: The results indicated that COVID-19 caused an exponential growth in mortality. In patients over the age of 50, the mortality rate was found to be very high, ~80%. Moreover, based on the estimation of OR, it can be inferred that age and various preexisting comorbidities were found to be predictors of severe COVID-19 outcomes. The strongest risk factors for COVID-19 mortality were preexisting comorbidities like diabetes (OR: 2.39; 95% confidence interval (CI): 2.31-2.47; p < 0.0001), hypertension (OR: 2.31; 95% CI: 2.23-2.39; p < 0.0001), and heart disease (OR: 2.19; 95% CI: 2.08-2.30; p < 0.0001). The proportion of fatal cases among patients positive for COVID-19 increased with the number of comorbidities. Conclusion: This study concluded that elderly patients with preexisting comorbidities were at an increased risk of COVID-19 mortality. Patients in the elderly age group with underlying medical conditions are recommended for preventive medical care or medical resources and vaccination against COVID-19.

Credible Protein Targets and Curative Strategies for COVID-19: a Review.

The pandemic of coronavirus infection 2019 (COVID-19) due to the serious respiratory condition created by the coronavirus 2 (SARS-CoV-2) presents a challenge to recognize effective strategies for management and treatment. In general, COVID-19 is an acute disease that can also be fatal, with an ongoing 10.2% case morbidity rate. Extreme illness may bring about death because of enormous alveolar damage and hemorrhage along with progressive respiratory failure. The rapidly expanding information with respect to SARS-CoV-2 research suggests a substantial number of potential drug targets. The most encouraging treatment to date is suggested to be with the help of remdesivir, hydroxychloroquine, and many such repurposed drugs. Remdesivir has a strong in vitro activity for SARS-CoV-2, yet it is not the drug of choice as affirmed by the US Food and Drug Administration and presently is being tried in progressing randomized preliminaries. The COVID-19 pandemic has been the worst worldwide general health emergency of this age and, possibly, since the pandemic influenza outbreak of 1918. The speed and volume of clinical preliminaries propelled to examine potential treatments for COVID-19 feature both the need and capacity to create abundant evidence even in the center of a pandemic. No treatments have been demonstrated as accurate and dependable to date. This review presents a concise precise of the targets and broad treatment strategies for the benefit of researchers.

Between a Rock and a Hard Place: COVID Concerns and Partnered U.S. Mothers’ Employment during the COVID-19 Pandemic

Shutdowns of in-person school and childcare in spring 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic were associated with substantial reductions in mothers’ labor force participation (LFP). By fall 2020, in-person school and daycare were more widely available, but mothers’ LFP remained as low as it was in spring. Coincidently, by fall 2020, daily COVID deaths had also began to peak. Using unique panel survey data from partnered U.S. mothers (n = 263), the authors use structural equation modeling to analyze how mothers’ concerns over COVID shaped their LFP in fall 2020. Findings show that mothers’ COVID concerns were associated with reduced LFP via children’s time at home, perceived stress, and remote work. Concerned mothers were more likely to keep children home, but this resulted in less paid work likely vis-à-vis work-family conflicts. The findings illuminate one reason mothers’ LFP failed to rebound in fall 2020 despite increased access to in-person school and daycare.

COVID-19 Pandemic, Social Isolation, and Online Gaming Addiction: Evidence From Two Case Reports

In the background of COVID-19 restrictions, online games have positioned themselves as activities which promote adherence to precautionary measures, while allowing users to socially interact and entertain themselves. Emerging evidence suggest increase in viewership as well as gaming activity throughout the world. However, such rapid increase in initiation of gaming activities also puts vulnerable population at risk of developing problematic use and addiction. We provide 2 real world examples of how pandemic-related changes can contribute toward gaming disorder in those with previously recreational or minimal Internet gaming. Public health policymakers need to be mindful of potential fallout of gaming addiction secondary to increased changes brought by the pandemic.

Emergency Department Visits for Ankle Fractures Through COVID-19: An Analysis of the National Electronic Injury Surveillance System.

Background: Societal changes that occurred during the COVID-19 pandemic may have altered the epidemiology of ankle fractures. The aim of this study was to assess trends in emergency department visits for ankle fractures from 2019 to 2020 in the United States. Methods: The National Electronic Injury Surveillance System (NEISS) database is a sample of hospitals in the United States stratified and weighted based on emergency department (ED) size, which was used to generate national estimates (NEs). The NEISS database was queried for patients who sustained an ankle fracture. Patients before COVID-19 (BC) (July 2019-December 2019) were compared to those during COVID-19 (DC) (July 2020-December 2020). Results: This study assessed 3350 (NE: 131,672) patients. Of these, 1683 (NE: 67,292) patients presented BC and 1667 (NE: 64,380) DC, representing a 4% decrease. The rate of alcohol-related ankle fractures increased (1.9% BC vs 2.6% DC; P < .001). The fraction of ankle fractures at school (3% BC vs 0.7% DC; P < .001) and during sports (19% BC vs 14% DC; P < .001) decreased. ED visits for ankle fracture leading to hospitalization marginally increased (23% BC vs 24% DC). The top 3 ankle fracture causes during COVID-19 were stairs (NE: 18,026, 28%), floors (ie, falling on floor) (NE: 4635, 7.2%), and skateboards (NE: 2832, 4.40%). The 3 largest increases in ankle fracture causes during COVID-19 were skateboards (+2.80%), floors (+1.10%), and powered scooters (+0.80%). Conclusion: There was a decrease in ankle fractures during the COVID-19 pandemic compared to the year before. Alcohol-related fractures increased as did fractures resulting in hospitalization. Ankle fractures caused by skateboards, powered scooters, and mopeds increased during COVID-19, whereas fewer occurred in school or during sports, consistent with restrictions to group activities. These findings may aid in proper health care budgeting in times of national and global crises. Level of Evidence: Level III, retrospective comparative study.

Homecare and the COVID-19 Pandemic - Experience at an Urban Specialist Cancer Palliative Center.

BACKGROUND: With the COVID-19 pandemic wreaking havoc globally, the extremely vulnerable subset of cancer palliative care patients has to go through the worst nightmare. Difficulty in accessing medical care in the event of increased symptom burden, obstacles in reaching hospitals at time of emergencies or end of life, limited access to medication, social distancing causing isolation, leading to psychosocial burden, lack of bereavement support, are few of the issues we identified. Palliative home care is an important tool to allay the anxieties and address the fears of cancer patients and caregivers, by ensuring continuity of care and providing the much needed handholding in these difficult times. This article aims to highlight the home-based care strategy and experience of the Cipla Palliative Care and Training Center during the COVID-19 lockdown. MATERIALS AND METHODS: We have utilized the data of documentation of the process of designing the protocol, the data entered by the team on unique data management software that is used at the palliative care center to record all palliative care interventions and reflections of the team on their experience of home visits during this period. RESULTS: Continuity of care through home visits will ensure better management of patients in terms of physical symptoms, psychosocial support, allaying fears, and anxieties, as well as the ultimate goal of an improved quality of life. Physical symptoms (24%), morphine drop off (19%), psychosocial support (15%), end of life care (33%), and procedures (9%) were the major indications of visits. CONCLUSION: The COVID-19 pandemic has increased the need for support, thus reiterating the importance of continuity of care. With abundant precautions and protocols in place, home care through visits is possible. With the lockdown and restrictions now entering their fourth phase, we need to be ready now more than ever to adapt to changing times and evolving definitions of the "New Normal."

Analyzing the Effect of Vaccination Over COVID Cases and Deaths in Asian Countries Using Machine Learning Models.

Coronavirus Disease 2019 (COVID-19) is spreading across the world, and vaccinations are running parallel. Coronavirus has mutated into a triple-mutated virus, rendering it deadlier than before. It spreads quickly from person to person by contact and nasal or pharyngeal droplets. The COVID-19 database 'Our World in Data' was analyzed from February 24, 2020, to September 26, 2021, and predictions on the COVID positives and their mortality rate were made. Factors such as Vaccine data for the First and Second Dose vaccinated individuals and COVID positives that influence the fluctuations in the COVID-19 death ratio were investigated and linear regression analysis was performed. Based on vaccination doses (partial or complete vaccinated), models are created to estimate the number of patients who die from COVID infection. The estimation of variance in the datasets was investigated using Karl Pearson's coefficient. For COVID-19 cases and vaccination doses, a quartic polynomial regression model was also created. This predictor model helps to predict the number of deaths due to COVID-19 and determine the susceptibility to COVID-19 infection based on the number of vaccine doses received. SVM was used to analyze the efficacy of models generated.

SARS-CoV-2 seroprevalence in the city of Hyderabad, India in early 2021.

Background: COVID-19 emerged as a global pandemic in 2020, spreading rapidly to most parts of the world. The proportion of infected individuals in a population can be reliably estimated via serosurveillance, making it a valuable tool for planning control measures. Our serosurvey study aimed to investigate SARS-CoV-2 seroprevalence in the urban population of Hyderabad at the end of the first wave of infections. Methods: This cross-sectional survey, conducted in January 2021 and including males and females aged 10 years and above, used multi-stage random sampling. 9363 samples were collected from 30 wards distributed over six zones of Hyderabad, and tested for antibodies against SARS-CoV-2 nucleocapsid antigen. Results: Overall seropositivity was 54.2%, ranging from 50% to 60% in most wards. Highest exposure appeared to be among those aged 30-39 and 50-59 years, with women showing greater seropositivity. Seropositivity increased with family size, with only marginal differences among people with varying levels of education. Seroprevalence was significantly lower among smokers. Only 11% of the survey subjects reported any COVID-19 symptoms, while 17% had appeared for COVID-19 testing. Conclusion: Over half the city's population was infected within a year of onset of the pandemic. However, ∼ 46% of people remained susceptible, contributing to subsequent waves of infection.

A Systematic Review of Abdominal Imaging Findings in COVID-19 Patients.

OBJECTIVE: The objective of this systematic review was to evaluate key imaging manifestations of COVID-19 on abdominal imaging by utilizing a comprehensive review of the published literature. METHOD: A systematic literature search from PubMed, Google Scholar, and Scopus was performed for studies mentioning abdominal imaging findings in COVID-19 patients. Studies published from inception to 15 March 2021 were included. RESULTS: A total of 116 studies comprising 1,198 patients were included. Abdominal pain was the most common indication for abdominal imaging in 50.2% of the patients. No abnormality was seen in 48.1% of abdominopelvic computed tomography scans. Segmental bowel wall thickening (14.7%) was the most common imaging abnormality, followed by bowel ischemia (7.1%), solid organ infarction (6.7%), vessel thrombosis (6.7%), and fluid-filled colon (6.2%). Other relevant findings were dilated air-filled bowel, pancreatitis, pneumatosis/portal venous gas, bowel perforation, and appendicitis. Other than abdominal findings, COVID-19-related basal lung changes were incidentally detected in many studies. Moreover, the presence of bowel imaging findings was positively correlated with the clinical severity of COVID-19 infection. CONCLUSION: This review describes the abdominal imaging findings in COVID-19 patients. This is pertinent for the early diagnosis of COVID-19 in patients presenting solely with abdominal symptoms as well as in identifying abdominal complications in a known case of COVID-19.

Assessment of air pollution status during COVID-19 lockdown (March-May 2020) over Bangalore City in India.

The coronavirus disease 2019 (COVID-19), which became a global pandemic by March 2020, forced almost all countries over the world to impose the lockdown as a measure of social distancing to control the spread of infection. India also strictly implemented a countrywide lockdown, starting from 24 March to 12 May 2020. This measure resulted in the reduction of the sources of air pollution in general: industrial, commercial, and vehicular pollution in particular, with visible improvement in ambient air quality. In this study, the impact of COVID-19 lockdown on the ambient concentration of air pollutants over the city of Bangalore (India) is assessed using Continuous Ambient Air Quality Measurement (CAAQM) data from 10 monitoring stations spread across the city. The data was obtained from Central Pollution Control Board (CPCB) and Karnataka State Pollution Control Board (KSPCB). The analysis of the relative changes in the ambient concentration of six major air pollutants (NO, NO2, NOX, PM2.5, O3, and SO2) has been carried out for two periods: March-May 2020 (COVID-19 lockdown) and the corresponding period of 2019 during when there was no lockdown. The analysis revealed significant reduction in the concentration of ambient air pollutants at both daily and monthly intervals. This can be attributed to the reduction in sources of emission; vehicular traffic, industrial, and other activities. The average reduction in the concentration of NO, NO2, NOX, PM2.5, and O3 between 01 March and 12 May 2020 was found to be 63%, 48%, 48%, 18%, and 23% respectively when compared to the same period in 2019. Similarly, the comparative analysis of pollutant concentrations between pre-lockdown (01-23 March 2020) and lockdown (24 March-12 May 2020) periods has shown a huge reduction in the ambient concentration of air pollutants, 47.3% (NO), 49% (NO2), 49% (NOX), 10% (SO2), 37.7% (PM2.5), and 15.6% (O3), resulting in improved air quality over Bangalore during the COVID-19 lockdown period. It is shown that the strict lockdown resulted in a significant reduction in the pollution levels. Such lockdowns may be useful as emergency intervention strategies to control air pollution in megacities when ambient air quality deteriorates dangerously.

Insights from nanotechnology in COVID-19: prevention, detection, therapy and immunomodulation.

The outbreak of SARS-CoV-2 infection has presented the world with an urgent demand for advanced diagnostics and therapeutics to prevent, treat and control the spread of infection. Nanotechnology seems to be highly relevant in this emergency due to the unique physicochemical properties of nanomaterials which offer versatile chemical functionalization to create advanced biomedical tools. Here, nano-intervention is discussed for designing effective strategies in developing advanced personal protective equipment kits, disinfectants, rapid and cost-effective diagnostics and therapeutics against the infection. We have also highlighted the nanoparticle-based vaccination approaches and how nanoparticles can regulate the host immune system against infection. Overall, this review discusses various nanoformulations that have shown clinical relevance or can be explored in the fight against COVID-19.

Doomsurfing and doomscrolling mediate psychological distress in covid-19 lockdown: Implications for awareness of cognitive biases

The coronavirus disease 2019 (COVID-19) pandemic has led to a significant increase in the consumption of the internet for work, leisure time activities, and has also generated substantial amounts of anxiety, and uncertainty, which has lead individuals to spend a lot of time surfing the internet for the latest news on developments in the COVID-19 crisis. This ends up as scrolling or surfing through a lot of pessimistic news items. This search for information during COVID-19 is apparently influenced by a number of cognitive biases as well as mediated by poor affect regulation skills. Thus, there is a need to address these cognitive biases and promote affect regulation strategies across health settings. (PsycInfo Database Record (c) 2021 APA, all rights reserved)

Doomsurfing and doomscrolling mediate psychological distress in COVID-19 lockdown: Implications for awareness of cognitive biases.

The coronavirus disease 2019 (COVID-19) pandemic has led to a significant increase in the consumption of the internet for work, leisure time activities, and has also generated substantial amounts of anxiety, and uncertainty, which has lead individuals to spend a lot of time surfing the internet for the latest news on developments in the COVID-19 crisis. This ends up as scrolling or surfing through a lot of pessimistic news items. This search for information during COVID-19 is apparently influenced by a number of cognitive biases as well as mediated by poor affect regulation skills. Thus, there is a need to address these cognitive biases and promote affect regulation strategies across health settings.

A Distinct Phylogenetic Cluster of Indian Severe Acute Respiratory Syndrome Coronavirus 2 Isolates.

BACKGROUND: From an isolated epidemic, coronavirus disease 2019 has now emerged as a global pandemic. The availability of genomes in the public domain after the epidemic provides a unique opportunity to understand the evolution and spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus across the globe. METHODS: We performed whole-genome sequencing of 303 Indian isolates, and we analyzed them in the context of publicly available data from India. RESULTS: We describe a distinct phylogenetic cluster (Clade I/A3i) of SARS-CoV-2 genomes from India, which encompasses 22% of all genomes deposited in the public domain from India. Globally, approximately 2% of genomes, which to date could not be mapped to any distinct known cluster, fall within this clade. CONCLUSIONS: The cluster is characterized by a core set of 4 genetic variants and has a nucleotide substitution rate of 1.1 × 10-3 variants per site per year, which is lower than the prevalent A2a cluster. Epidemiological assessments suggest that the common ancestor emerged at the end of January 2020 and possibly resulted in an outbreak followed by countrywide spread. To the best of our knowledge, this is the first comprehensive study characterizing this cluster of SARS-CoV-2 in India.