Where There Is (No) Smoke, There Is Still Fire: a Review of Trends, Reasons for Use, Preferences and Harm Perceptions of Adolescent and Young Adult Electronic Cigarette Use.

Purpose of the review: To review the current prevalence, trends, perceptions, and effects of e-cigarette or vaping product use associated lung injury (EVALI) on e-cigarette use among US adolescents and young adults. Recent findings: COVID-19 diagnosis was more likely among the current/ever dual cigarette and e-cigarettes users, as well as ever e-cigarette only users. Additionally, the EVALI outbreak may have influenced harm perceptions, as daily nicotine vaping declined significantly from 2019 to 2020, and more youth and young adults perceived vaping as harmful. Summary: The prevalence of e-cigarette use, specifically flavored use, remains high among adolescents and young adults, which is concerning due to the short-term and unknown long-term effects of e-cigarettes and their association with future cigarette and other substance use.

Mobile Health Services for COVID-19: Counseling, Testing, and Vaccination for Medically Underserved Populations.

Mobile health units can improve access to preventive health services, especially for medically underserved populations. However, there is little published experience of mobile health units being used to expand access to COVID-19 vaccination. In concert with local public health departments and community members, we implemented a mobile COVID-19 health unit and deployed it to 12 predominantly low-income and racial/ethnic minority communities in Massachusetts. We describe the success and challenges of this innovative program in expanding access to COVID-19 vaccination. (Am J Public Health. 2022;112(11):1556-1559. https://doi.org/10.2105/AJPH.2022.307021).

Expanding COVID-19 vaccine access to underserved populations through implementation of mobile vaccination units.

COVID-19 has disproportionately impacted underserved populations, including racial/ethnic minorities. Prior studies have demonstrated that mobile health units are effective at expanding preventive services for hard-to-reach populations, but this has not been studied in the context of COVID-19 vaccination. Our objective was to determine if voluntary participants who access mobile COVID-19 vaccination units are more likely to be racial/ethnic minorities and adolescents compared with the general vaccinated population. We conducted a cross-sectional study of individuals who presented to three different mobile COVID-19 vaccination units in the Greater Boston area from May 20, 2021, to August 18, 2021. We acquired data regarding the general vaccinated population in the state and of target communities from the Massachusetts Department of Public Health. We used chi-square testing to compare the demographic characteristics of mobile vaccination unit participants and the general state and community populations that received COVID-19 vaccines during the same time period. We found that during this three-month period, mobile vaccination units held 130 sessions and administered 2622 COVID-19 vaccine doses to 1982 unique participants. The median (IQR) age of participants was 31 (16-46) years, 1016 (51%) were female, 1575 (80%) were non-White, and 1126 (57%) were Hispanic. Participants in the mobile vaccination units were more likely to be younger (p < 0.001), non-White race (p < 0.001), and Hispanic ethnicity (p < 0.001) compared with the general vaccinated population of the state and target communities. This study suggests that mobile vaccination units have the potential to improve access to COVID-19 vaccination for diverse populations.

Dual Fungal Infections (Aspergillosis and Mucormycosis) in a Diabetic Mellitus Patient Leading to Maxillary Sinusitis as a Post-COVID Manifestation: First Case Report.

Coronavirus infectious disease-19 caused by Severe acute respiratory distress syndrome-coronavirus-2 has emerged to be an emergency global health crisis for more than a year. And, as the disease has spread, a number of new clinical features have been observed in these patients. Immunosuppression caused by this disease results in an exacerbation of pre-existing infections. While corticosteroids are considered a life-saving therapeutic intervention for this pandemic, they have proved to be a double-edged sword and their indiscriminate use has produced some deleterious results. Recently, in the backdrop of this expression, a notable rise in invasive fungal infections has been identified even in the post-remission phase. Mucormycosis, Aspergillosis, and Candidiasis are the three most common opportunistic fungal infections among those observed. COVID-19 patients with diabetes mellitus are already at a higher risk of developing such secondary infections due to impaired immunity. Here we present a rare case report of a 50-year old male diabetic mellitus patient diagnosed with dual fungal infections (Aspergillosis along with Mucormycosis) leading to maxillary sinusitis as a post-COVID manifestation. To our knowledge, this is the first such case reported till date.

SMMPPI: a machine learning-based approach for prediction of modulators of protein-protein interactions and its application for identification of novel inhibitors for RBD:hACE2 interactions in SARS-CoV-2.

Small molecule modulators of protein-protein interactions (PPIs) are being pursued as novel anticancer, antiviral and antimicrobial drug candidates. We have utilized a large data set of experimentally validated PPI modulators and developed machine learning classifiers for prediction of new small molecule modulators of PPI. Our analysis reveals that using random forest (RF) classifier, general PPI Modulators independent of PPI family can be predicted with ROC-AUC higher than 0.9, when training and test sets are generated by random split. The performance of the classifier on data sets very different from those used in training has also been estimated by using different state of the art protocols for removing various types of bias in division of data into training and test sets. The family-specific PPIM predictors developed in this work for 11 clinically important PPI families also have prediction accuracies of above 90% in majority of the cases. All these ML-based predictors have been implemented in a freely available software named SMMPPI for prediction of small molecule modulators for clinically relevant PPIs like RBD:hACE2, Bromodomain_Histone, BCL2-Like_BAX/BAK, LEDGF_IN, LFA_ICAM, MDM2-Like_P53, RAS_SOS1, XIAP_Smac, WDR5_MLL1, KEAP1_NRF2 and CD4_gp120. We have identified novel chemical scaffolds as inhibitors for RBD_hACE PPI involved in host cell entry of SARS-CoV-2. Docking studies for some of the compounds reveal that they can inhibit RBD_hACE2 interaction by high affinity binding to interaction hotspots on RBD. Some of these new scaffolds have also been found in SARS-CoV-2 viral growth inhibitors reported recently; however, it is not known if these molecules inhibit the entry phase.

Sub-prime Crisis or COVID-19: A Comparative Analysis of Volatility in Indian Banking Sectoral Indices

Stock market volatility may be a function of company, industry, or world over information made public. The present study has investigated the volatility of Indian banking sectoral indices with the general banking index for two shocking events: the Sub-prime crisis and COVID-19. A comparative analysis of both the shocks leading to these indices’ volatility has been conducted using symmetric and asymmetric models. This study’s findings show that these indices’ volatile behaviour has been strong enough to persist in the market with the leverage effect present during the sub-prime crisis. This effect disappeared for Nifty Bank Indices and Private Sector Bank Indices as compared to Public Sector Undertaking Bank Indices during COVID-19 (probably because the pandemic is not over yet). With GARCH and EGARCH models, the study suggests that the investors may use the diversification approach, in the long run, to safeguard their portfolio values to survive from global shocks.

Impact of Microbiota: A Paradigm for Evolving Herd Immunity against Viral Diseases.

Herd immunity is the most critical and essential prophylactic intervention that delivers protection against infectious diseases at both the individual and community level. This process of natural vaccination is immensely pertinent to the current context of a pandemic caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection around the globe. The conventional idea of herd immunity is based on efficient transmission of pathogens and developing natural immunity within a population. This is entirely encouraging while fighting against any disease in pandemic circumstances. A spatial community is occupied by people having variable resistance capacity against a pathogen. Protection efficacy against once very common diseases like smallpox, poliovirus or measles has been possible only because of either natural vaccination through contagious infections or expanded immunization programs among communities. This has led to achieving herd immunity in some cohorts. The microbiome plays an essential role in developing the body's immune cells for the emerging competent vaccination process, ensuring herd immunity. Frequency of interaction among microbiota, metabolic nutrients and individual immunity preserve the degree of vaccine effectiveness against several pathogens. Microbiome symbiosis regulates pathogen transmissibility and the success of vaccination among different age groups. Imbalance of nutrients perturbs microbiota and abrogates immunity. Thus, a particular population can become vulnerable to the infection. Intestinal dysbiosis leads to environmental enteropathy (EE). As a consequence, the generation of herd immunity can either be delayed or not start in a particular cohort. Moreover, disparities of the protective response of many vaccines in developing countries outside of developed countries are due to inconsistencies of healthy microbiota among the individuals. We suggested that pan-India poliovirus vaccination program, capable of inducing herd immunity among communities for the last 30 years, may also influence the inception of natural course of heterologous immunity against SARS-CoV-2 infection. Nonetheless, this anamnestic recall is somewhat counterintuitive, as antibody generation against original antigens of SARS-CoV-2 will be subdued due to original antigenic sin.

Perceived risk, attitudes, and behavior of cigarette smokers and nicotine vapers receiving buprenorphine treatment for opioid use disorder during the COVID-19 pandemic.

BACKGROUND: Cigarette smoking may increase the risk of COVID-19 complications, reinforcing the urgency of smoking cessation in populations with high smoking prevalence such as individuals with opioid use disorder (OUD). Whether the COVID-19 pandemic has altered perceptions, motivation to quit, or tobacco use among cigarette smokers and nicotine e-cigarette vapers with OUD is unknown. METHODS: A telephone survey was conducted in March-July 2020 of current cigarette smokers or nicotine vapers with OUD who were stable on buprenorphine treatment at five Boston (MA) area community health centers. The survey assessed respondents' perceived risk of COVID-19 due to smoking or vaping, interest in quitting, quit attempts and change in tobacco consumption during the pandemic. RESULTS: 222/520 patients (43 %) completed the survey, and 145 were asked questions related to COVID-19. Of these, 61 % smoked cigarettes only, 13 % vaped nicotine only, and 26 % were dual users. Nearly 80 % of participants believed that smoking and vaping increased their risk of COVID-19 infection or complications. Smokers with this belief reported an increased interest in quitting (AOR 4.6, 95 % CI:1.7-12.4). Overall, 49 % of smokers and 42 % of vapers reported increased interest in quitting due to the pandemic; 24 % and 20 %, respectively, reported attempting to quit since the pandemic. However, 35 % of smokers and 27 % of vapers reported increasing smoking and vaping, respectively, during the pandemic. CONCLUSIONS: Most patients with OUD believed that smoking and vaping increased their vulnerability to COVID-19, half reported increased interest in quitting, but others reported increasing smoking and vaping during the COVID-19 pandemic.

A qualitative analysis of social scientists' opinions on socioeconomic and demographic implications of the lockdown during COVID-19 in India.

The unpredictable dynamics of COVID-19 and policies surrounding its management has triggered severe debates and discussions among every section of society. There have been similarities as well as differences in opinions regarding spread of the disease, the lockdown, its implementations and impacts. This qualitative study attempts to identify and understand the emerging pattern within the opinions of 16 social scientists from eminent institutes with rich socioeconomic and demographic research experience. Several key themes emerged from this study. While it is opined that the lockdown initially slowed down the spread of virus among Indian population, it continues to surge exponentially. Economy faced extreme hardship because of this extensive and abrupt national lockdown. State-wise variation in the COVID-19 scenario is noticed and the reason is attributed to the strictness of implementation of the lockdown by the respective state governments. However, a lockdown in phases is suggested that could have averted the economic crisis. Small businesses were the hardest hit. Migrant workers were not given deserved attention and support in terms of their travel to their natives, health or financial sustenance during the lockdown. The bailout has not been timely and enough thereby creating a group of new poor. From the opinions it emerges that the policy measures intended to revive back the micro, small and medium scale enterprises may not bring short-term solution pertaining to the labor crisis. Relaxation of lockdown also calls for stringent awareness generation among general population about health and hygiene maintenance to avoid further spread of COVID-19.