Food insufficiency and Twitter emotions during a pandemic.

The COVID-19 pandemic initially caused worldwide concerns about food insecurity. Tweets analyzed in real-time may help food assistance providers target food supplies to where they are most urgently needed. In this exploratory study, we use natural language processing to extract sentiments and emotions expressed in food security-related tweets early in the pandemic in U.S. states. The emotion joy dominated in these tweets nationally, but only anger, disgust, and fear were also statistically correlated with contemporaneous food insufficiency rates reported in the Household Pulse Survey; more nuanced and statistically stronger correlations are detected within states, including a negative correlation with joy.

COVID-19's impact on visitation behavior to US national parks from communities of color: evidence from mobile phone data.

The widespread COVID-19 pandemic fundamentally changed many people's ways of life. With the necessity of social distancing and lock downs across the United States, evidence shows more people engage in outdoor activities. With the utilization of location-based service (LBS) data, we seek to explore how visitation patterns to national parks changed among communities of color during the COVID-19 pandemic. Our results show that visitation rates to national parks located closer than 347 km to individuals have increased amidst the pandemic, but the converse was demonstrated amongst parks located further than 347 km from individuals. More importantly, COVID-19 has adversely impacted visitation figures amongst non-white and Native American communities, with visitation volumes declining if these communities are situated further from national parks. Our results show disproportionately low-representations amongst national park visitors from these communities of color. African American communities display a particularly concerning trend whereby their visitation to national parks is substantially lower amongst communities closer to national parks.

Assessment of DHEAS, cortisol, and DHEAS/cortisol ratio in patients with COVID-19: a pilot study.

PURPOSE: Dehydroepiandrosterone sulfate (DHEAS) is observed to be decreased in sepsis and inflammatory conditions. In the present study, we assessed the levels of DHEAS and cortisol and the DHEAS/cortisol ratio and their association with inflammatory markers in patients with COVID-19. METHODS: The study recruited 76 RT-PCR-positive COVID-19-positive patients and 79 healthy controls. The blood samples were collected and were analyzed for cortisol and DHEAS. RESULTS: We observed decreased levels of DHEAS and DHEAS/cortisol ratio and increased levels of cortisol in cases when compared with controls. DHEAS and DHEAS/cortisol ratio showed a decreasing trend with the increase in disease severity. CONCLUSION: The present study is the first of its kind comparing DHEAS levels and DHEAS/cortisol ratio in COVID-19 patients and control subjects. DHEAS, with its inhibitory effect on IL6 and activation of Tregs, may play a crucial role in immune defense mechanisms against COVID-19.

Exploring Descriptions of Movement Through Geovisual Analytics.

Sensemaking using automatically extracted information from text is a challenging problem. In this paper, we address a specific type of information extraction, namely extracting information related to descriptions of movement. Aggregating and understanding information related to descriptions of movement and lack of movement specified in text can lead to an improved understanding and sensemaking of movement phenomena of various types, e.g., migration of people and animals, impediments to travel due to COVID-19, etc. We present GeoMovement, a system that is based on combining machine learning and rule-based extraction of movement-related information with state-of-the-art visualization techniques. Along with the depiction of movement, our tool can extract and present a lack of movement. Very little prior work exists on automatically extracting descriptions of movement, especially negation and movement. Apart from addressing these, GeoMovement also provides a novel integrated framework for combining these extraction modules with visualization. We include two systematic case studies of GeoMovement that show how humans can derive meaningful geographic movement information. GeoMovement can complement precise movement data, e.g., obtained using sensors, or be used by itself when precise data is unavailable. Supplementary Information: The online version contains supplementary material available at 10.1007/s42489-022-00098-3.

Exploring Descriptions of Movement Through Geovisual Analytics Erforschung von Bewegungsbeschreibungen durch geovisuelle Analytik

Sensemaking using automatically extracted information from text is a challenging problem. In this paper, we address a specific type of information extraction, namely extracting information related to descriptions of movement. Aggregating and understanding information related to descriptions of movement and lack of movement specified in text can lead to an improved understanding and sensemaking of movement phenomena of various types, e.g., migration of people and animals, impediments to travel due to COVID-19, etc. We present GeoMovement, a system that is based on combining machine learning and rule-based extraction of movement-related information with state-of-the-art visualization techniques. Along with the depiction of movement, our tool can extract and present a lack of movement. Very little prior work exists on automatically extracting descriptions of movement, especially negation and movement. Apart from addressing these, GeoMovement also provides a novel integrated framework for combining these extraction modules with visualization. We include two systematic case studies of GeoMovement that show how humans can derive meaningful geographic movement information. GeoMovement can complement precise movement data, e.g., obtained using sensors, or be used by itself when precise data is unavailable. Supplementary Information The online version contains supplementary material available at 10.1007/s42489-022-00098-3.

SARS-CoV-2 IgG Antibody and its Clinical Correlates in Convalescent Plasma Donors: An Indian Experience.

SARS-CoV-2, a novel coronavirus, emerged a year ago in Wuhan, China causing a new pandemic. Convalescent plasma therapy has been applied previously to many infectious diseases and has shown a successful result. This study was planned to assess the Anti-SARS-CoV-2 IgG antibody levels in convalescent COVID-19 patients. In this study, serum samples from 210 persons infected by SARS-CoV-2, treated and discharged from the hospital were collected. Anti-SARS-CoV-2 IgG antibody levels were detected using a chemiluminescence assay. A directory of convalescent plasma donors was created. Anti-SARS-CoV-2 IgG antibody levels vary substantially in the study population with a mean of 51.2 AU/ml. On comparing the serum anti-SARS-CoV-2 IgG antibody levels, a significant difference was observed between the subjects who had cough and those who did not (p = 0.0004). Similar significant findings were found with total protein and globulin levels on comparing the individuals with different antibody status (positive, negative and equivocal). The middle-aged and old age people had high Ab titres compared to younger individuals and the duration of the hospital stay was found to be positively correlated with the anti-SARS-CoV-2 IgG antibody. Cough, age and duration of the hospital stay was found to play a significant role in the development of Anti-SARS-CoV-2 IgG levels. Further, the data suggests that blood groups have a lesser impact on the severity of disease and the development of antibodies. Patients who present with the cough are more likely to develop antibodies.

Interleukin-6 Perpetrator of the COVID-19 Cytokine Storm.

COVID-19 has emerged as a global pandemic. It is mainly manifested as pneumonia which may deteriorate into severe respiratory failure. The major hallmark of the disease is the systemic inflammatory immune response characterized by Cytokine Storm (CS). CS is marked by elevated levels of inflammatory cytokines, mainly interleukin-6 (IL-6), IL-8, IL-10, tumour necrosis factor-α (TNF-α) and interferon-γ (IFN-γ). Of these, IL-6 is found to be significantly associated with higher mortality. IL-6 is also a robust marker for predicting disease prognosis and deterioration of clinical profile. In this review, the pivotal role played by IL-6 in the immuno-pathology of COVID-19 has been illustrated. The role of IL-6 as a pleiotropic cytokine executing both pro and anti-inflammatory activities has been reviewed. ADAM 10, a metalloproteinase switches the anti-inflammatory pathway of IL-6 to pro inflammatory hence blocking the action of ADAM 10 could be a new therapeutic strategy to mitigate the proinflammatory action of IL-6. Furthermore, we explore the role of anti-IL6 agents, IL-6 receptor antibodies which were being used for autoimmune diseases but now are being repurposed for the therapy of COVID-19.

Adverse Events Reported From COVID-19 Vaccine Trials: A Systematic Review.

COVID-19 infection originated in Wuhan, China in December 2019 and crippled human health globally in no time. The public health emergency required urgent efforts to develop and test the efficacy and safety of vaccines to combat the COVID-19 pandemic. The emergency use approval has been granted to COVID-19 vaccines before the completion of conventional phases of clinical trials. However, there is no comprehensive review of safety data reported from the vaccine trials, which is critical information to inform the policies in order to improve uptake of COVID-19 vaccines and mitigate the risk aversion perceived due to the COVID-vaccine side effects. This study aims to systematically review and synthesize the evidence on the safety data from the published COVID-19 vaccine trials. This study followed PRISMA guidelines. We searched three major electronic databases (PubMed, Embase, and Google Scholar) for published studies between Dec 2019 and 2020. Eligible study designs were randomized trials and pre-and post-intervention evaluations. Descriptive findings of included studies were reported stratified by target population, setting, outcomes, and overall results. From PubMed, Embase, WHO database, and Google Scholar screened titles and abstracts, 11 studies were identified in this review. Most of the reactions reported were mild to moderate whereas a few with severe intensity. All reactions resolved within 3-4 days. The commonly reported local adverse events were pain at the site of injection, swelling, and redness. The systemic reactions included fever, fatigue, myalgia, and headache. Some trials also reported laboratory derangements  like decreased hemoglobin, increased bilirubin, altered SGOT and SGPT. None of these alterations were clinically manifested and were self-limiting. Few clinical trials reported serious adverse events, but they were unrelated to vaccination. This systematic review indicates that COVID-19 vaccines can be safe with no serious adverse events. However, long-term post-marketing surveillance data, particularly in high-risk vulnerable populations (elderly and those with co-morbidities, pregnant women, and children) is warranted to ensure the safety of COVID-19 vaccines.

Use of Complementary and Alternative Medicine (CAM) and Home Remedies by COVID-19 Patients: A Telephonic Survey.

COVID-19 is caused by a novel coronavirus which was first reported in Wuhan city, China. The pandemic has led to considerable mortality globally. India, at present has the second largest burden of COVID-19 cases globally. Clinical trials with new interventions, including new vaccine candidates are being explored in the scientific world. Countries like China and India, with a rich history of traditional medicine, are exploring the effectiveness of traditional medicines to treat COVID-19. This study included 725 patients from an Isolation center, of which 230 (31.7%) were excluded due to reasons like incorrect phone numbers, no response on phone, or denying consent to participate. Finally, 495 participants had responded, of which 367 (74.1%) had not used any Complementary and Alternative Medicine (CAM) product or home remedies while 128 (25.8%) people used 161 CAM products and home remedies during the treatment and even afterward. More than half of the participants (59.6%) among them had consumed Ayurvedic Kadha. Many respondents consumed more than one CAM products or home remedies but there were no reported acute or severe adverse effects with these products. However, it is essential to ensure the safety of these interventions on long-term use because patients with other comorbidities can have a detrimental effect due to these products or due to drug herb interaction with their ongoing medications. Hence, long-term follow-up studies of recovered patients are crucial in determining the effects of medications or CAM products on organ functions due to disease or interventions.

Role of Genetic Variants and Gene Expression in the Susceptibility and Severity of COVID-19.

Since its first report in December 2019, coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly emerged as a pandemic affecting nearly all countries worldwide. As the COVID-19 pandemic progresses, the need to identify genetic risk factors for susceptibility to this serious illness has emerged. Host genetic factors, along with other risk factors may help determine susceptibility to respiratory tract infections. It is hypothesized that the ACE2 gene, encoding angiotensin-converting enzyme 2 (ACE2), is a genetic risk factor for SARS-CoV-2 infection and is required by the virus to enter cells. Together with ACE2, transmembrane protease serine 2 (TMPRSS2) and dipeptidyl peptidase-4 (DPP4) also play an important role in disease severity. Evaluating the role of genetic variants in determining the direction of respiratory infections will help identify potential drug target candidates for further study in COVID-19 patients. We have summarized the latest reports demonstrating that ACE2 variants, their expression, and epigenetic factors may influence an individual's susceptibility to SARS-CoV-2 infection and disease outcome.

Association of Environmental Parameters with COVID-19 in Delhi, India.

The present study explores the association between weather and COVID-19 pandemic in Delhi, India. The study used the data from daily newspaper releases from the Ministry of Health and Family Welfare, Government of India. Linear regression was run to understand the effect of the number of tests, temperature, and relative humidity on the number of COVID-19 cases in Delhi. The model was significantly able to predict number of COVID-19 cases, F (4,56) = 1213.61, p < 0.05, accounting for 99.4% of the variation in COVID-19 cases with adjusted R2 = 98.8%. Maximum Temperature, average temperature and average relative humidity did not show statistical significance. The only number of tests was significantly associated with COVID-19 cases.

Snapshot of COVID-19 Related Clinical Trials in India.

Many interventions are being explored for the prophylaxis and treatment of COVID-19 in all over the world including India. There was a need of systematic data about the COVID-19 related clinical trials conducted in India. The aim of the present study was to analyze various clinical trials registered in Clinical Trial Registry of India (CTRI) exploring the interventions for COVID 19. The data of various clinical trials being conducted in India was obtained from CTRI. Different trial characteristics were extracted in the predesigned proforma and analyzed. Values were expressed in frequency and percentages. As of 11th July, 2020, a total of 203 trials were registered in the CTRI. The majority of the trials (61%) were related to the AYUSH interventions. Only 3 trials were international while the others were national. A major portion of public and private funding were dedicated to the AYUSH trials. More number of trials were for treatment as compared to prophylaxis. Maharashtra and Delhi are having highest number of trial sites. There is a good progress regarding AYUSH clinical trials, and a similar progress is expected for allopathic interventions.

Inhibiting fusion with cellular membrane system: therapeutic options to prevent severe acute respiratory syndrome coronavirus-2 infection.

Severe acute respiratory syndrome coronavirus (SARS-CoV), an enveloped virus with a positive-sense single-stranded RNA genome, facilitates the host cell entry through intricate interactions with proteins and lipids of the cell membrane. The detailed molecular mechanism involves binding to the host cell receptor and fusion at the plasma membrane or after being trafficked to late endosomes under favorable environmental conditions. A crucial event in the process is the proteolytic cleavage of the viral spike protein by the host's endogenous proteases that releases the fusion peptide enabling fusion with the host cellular membrane system. The present review details the mechanism of viral fusion with the host and highlights the therapeutic options that prevent SARS-CoV-2 entry in humans.

Inflammation, Immunity and Immunogenetics in COVID-19: A Narrative Review.

The novel Coronavirus Disease 2019 (COVID-19), that began in Wuhan Province, China was labelled as an International Public Health Emergency on January 30, 2020 and later was declared a pandemic by the World Health Organisation (WHO) on March 11, 2020. The causative agent, SARS-CoV-2 was the third coronavirus responsible for causing major disease outbreaks in human population after Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) caused by SARS-CoV and MERS-CoV respectively. The patients of COVID-19 present with a clinical feature resembling mild form of viral pneumonia which in certain cases progress to a severe form characterised by adult respiratory distress syndrome (ARDS) and/or multiorgan failure leading to death. The transition from mild to severe form of COVID-19 is affected by a lot of factors like age, co-morbidities etc. In the absence of an absolute cure, it is essential to explore the molecular pathogenesis of the disease to identify people at risk of developing severity so that alternative treatment modalities may be planned. The aim of this review is to provide an update on the general characteristics of SARS-CoV-2 and highlight the inflammatory changes and immune dysregulation that may help in identification of molecular predictors of disease severity.