Potential of Selected Indian Herbs for COVID-19

2020 ◽  
Vol 06 ◽  
Author(s):  
Ravindra Verma ◽  
Vaibhav Misra ◽  
Dileep Tiwari ◽  
Prakash S. Bisen
Keyword(s):  
Risk Factors ◽  
Withania Somnifera ◽  
Epidemiologic Studies ◽  
Climatic Conditions ◽  
Tinospora Cordifolia ◽  
Environmental Threats ◽  
Scientific Databases ◽  
First Case ◽  
Ocimum Tenuiflorum ◽  
Novel Coronavirus

Introduction: Many environmental risk factors are associated with some form of chronic inflammation. The spread of COVID-19 across the world has impacted every one of us. The first case of coronavirus was reported on 30 January 2020 in India originating from China. Study Area: India has a tremendous capacity to deal with the coronavirus outbreak because of its high immunity and climatic conditions. Maintaining social distancing and hand washing is not a sufficient step for preventing COVID-19. Indian system of traditional medicine has a potential worth to enhance immunity, which can resist a novel coronavirus. Material & Methods: A detailed study was carried out by analyzing national and international scientific databases (PubMed, SciFinder, ScienceDirect, Scopus, and Web of Science, Mendeley), thesis, and recognized books. Only Indian herbs with high immunity resistant power were analyzed. Epidemiologic studies with information on COVID-19 risk factors and precautions also considered for study purposes. Results: Some herbs like Ocimum tenuiflorum (Tulsi), Glycyrrhiza glabra (Liquorice), Curcuma domestica Vahl (Turmeric), Tinospora cordifolia (Giloy), Withania somnifera (Ashwagandha), Cinnamon (Dalchini), Shoot of Triticumaestivum Linn. (Wheatgrass), Andrographis paniculata (Kalmegh), can help in boosting immunity for COVID-19 disease. Discussion: Despite the shreds of evidence for the efficacy of these herbs in treating coronavirus induced infections; the proper dose with ideal timing for such interventions needs to verify in clinical trials. Researchers must have to take the privilege to explore the potential of herbs to reduce such epidemics of environmental threats.

scholarly journals MO844COVID-19 PANDEMIC IN DIALYSIS PATIENTS IN SWITZERLAND

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Rebecca Winzeler ◽  
Patrice Max Ambühl
Keyword(s):  
Infectious Disease ◽  
Risk Factors ◽  
Dialysis Patient ◽  
European Countries ◽  
The Novel ◽  
Dialysis Patients ◽  
First Case ◽  
Male Sex ◽  
Novel Coronavirus ◽  
Associated Risk Factors

Abstract Background and Aims COVID-19 is an infectious disease that can result from infection with the novel coronavirus SARS-CoV-2. The disease, was first described in Wuhan at the end of 2019 and the first case in Switzerland was discovered in February 2020. This analysis gives an overview of dialysis patients in Switzerland that were tested COVID-19 positive. Method All dialysis centers reported their cases with COVID-19 to the Swiss dialysis registry srrqap. All patients reported to the registry between March 5 (1st dialysis patient with COVID-19) and June 30, 2020 were included in this analysis and comparisons were made with COVID-19-free dialysis patients (from 2019). Results On March 5, 2020, the first dialysis patient was infected with COVID-19 in Ticino. The number of infected dialysis patients increased rapidly over the months of March and April, with the majority of patients in the cantons of Vaud (23.5%), Ticino (22.3%) and Geneva (18.8%) and together making up almost 65% of the COVID-19-infected dialysis patients in Switzerland. COVID-19 cases represented 2.4% of all prevalent patients on dialysis (as of 31.12.2019). Twenty-seven (12 female, 15 male) out of 93 dialysis patients died, which corresponds to a mortality rate of 29%. Mortality was highest in patients from Switzerland (together with the Netherlands), and lowest in Romania with 8.5% (K. Jager and A. Kramer, submitted for publication, 2020). Mortality was associated with advanced age in dialysis patients. In contrast to the general population, male sex, diabetes and hypertension were no major risk factors for mortality in our cohort. Conclusion Although dialysis patients from Switzerland in general have a better survival compared to those from other European countries, infection with COVID-19 in Switzerland results in the highest mortality compared to other European countries in this population. In addition, male sex, diabetes and hypertension seem not to be associated risk factors in our dialysis population.

Novel Coronavirus Disease (COVID-19): A Narrative Review Based on Current Status

2020 ◽  
Vol 18 ◽  
Author(s):  
Rina Das ◽  
Dinesh Kumar Mehta ◽  
Meenakshi Dhanawat
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Clinical Symptoms ◽  
Virus Disease ◽  
Relevant Literature ◽  
World Health ◽  
Current Status ◽  
Future Research ◽  
Treatment And Prevention ◽  
First Case ◽  
Novel Coronavirus

Abstract:: A novel virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), appeared and expanded globally by the end of year in 2019 from Wuhan, China, causing severe acute respiratory syndrome. During its initial stage, the disease was called the novel coronavirus (2019-nCoV). It was named COVID-19 by the World Health Organization (WHO) on 11 February 2020. The WHO declared worldwide the SARS-CoV-2 virus a pandemic on March 2020. On 30 January 2020 the first case of Corona Virus Disease 2019 (COVID-19) was reported in India. Now in current situation the virus is floating in almost every part of the province and rest of the globe. -: On the basis of novel published evidences, we efficiently summarized the reported work with reference to COVID-19 epidemiology, pathogen, clinical symptoms, treatment and prevention. Using several worldwide electronic scientific databases such as Pubmed, Medline, Embase, Science direct, Scopus, etc were utilized for extensive investigation of relevant literature. -: This review is written in the hope of encouraging the people successfully with the key learning points from the underway efforts to perceive and manage SARS-CoV-2, suggesting sailent points for expanding future research.

scholarly journals Modeling and Forecasting of COVID-19 Spreading by Delayed Stochastic Differential Equations

Axioms ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 18
Author(s):  
Marouane Mahrouf ◽  
Adnane Boukhouima ◽  
Houssine Zine ◽  
El Mehdi Lotfi ◽  
Delfim F. M. Torres ◽  
...  
Keyword(s):  
Real Data ◽  
Economic Damage ◽  
Population Parameter ◽  
The Novel ◽  
First Case ◽  
Epidemiological Trend ◽  
Modeling And Forecasting ◽  
Novel Coronavirus ◽  
Parameter Values ◽  
Stochastic Time

The novel coronavirus disease (COVID-19) pneumonia has posed a great threat to the world recent months by causing many deaths and enormous economic damage worldwide. The first case of COVID-19 in Morocco was reported on 2 March 2020, and the number of reported cases has increased day by day. In this work, we extend the well-known SIR compartmental model to deterministic and stochastic time-delayed models in order to predict the epidemiological trend of COVID-19 in Morocco and to assess the potential role of multiple preventive measures and strategies imposed by Moroccan authorities. The main features of the work include the well-posedness of the models and conditions under which the COVID-19 may become extinct or persist in the population. Parameter values have been estimated from real data and numerical simulations are presented for forecasting the COVID-19 spreading as well as verification of theoretical results.

scholarly journals Progression and Trends in Virus from Influenza A to COVID-19: An Overview of Recent Studies

Viruses ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1145
Author(s):  
Hakimeh Baghaei Daemi ◽  
Muhammad Fakhar-e-Alam Kulyar ◽  
Xinlin He ◽  
Chengfei Li ◽  
Morteza Karimpour ◽  
...  
Keyword(s):  
Influenza A ◽  
H1n1 Virus ◽  
World Health ◽  
H1n1 Pandemic ◽  
Global Pandemic ◽  
First Case ◽  
Influenza A H1n1 ◽  
The World ◽  
Novel Coronavirus ◽  
Health Organization

Influenza is a highly known contagious viral infection that has been responsible for the death of many people in history with pandemics. These pandemics have been occurring every 10 to 30 years in the last century. The most recent global pandemic prior to COVID-19 was the 2009 influenza A (H1N1) pandemic. A decade ago, the H1N1 virus caused 12,500 deaths in just 19 months globally. Now, again, the world has been challenged with another pandemic. Since December 2019, the first case of a novel coronavirus (COVID-19) infection was detected in Wuhan. This infection has risen rapidly throughout the world; even the World Health Organization (WHO) announced COVID-19 as a worldwide emergency to ensure human health and public safety. This review article aims to discuss important issues relating to COVID-19, including clinical, epidemiological, and pathological features of COVID-19 and recent progress in diagnosis and treatment approaches for the COVID-19 infection. We also highlight key similarities and differences between COVID-19 and influenza A to ensure the theoretical and practical details of COVID-19.

scholarly journals Evaluating the effectiveness of measures to control the novel coronavirus disease 2019 in Jilin Province, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qinglong Zhao ◽  
Yao Wang ◽  
Meng Yang ◽  
Meina Li ◽  
Zeyu Zhao ◽  
...  
Keyword(s):  
Prevention And Control ◽  
Good Control ◽  
Asymptomatic Infection ◽  
Jilin Province ◽  
Control Measures ◽  
First Case ◽  
Before And After ◽  
Novel Coronavirus ◽  
Reported Data ◽  
And Control

Abstract Background Based on differences in populations and prevention and control measures, the spread of new coronary pneumonia in different countries and regions also differs. This study aimed to calculate the transmissibility of coronavirus disease 2019 (COVID-19), and to evaluate the effectiveness of measures to control the disease in Jilin Province, China. Methods The data of reported COVID-19 cases were collected, including imported and local cases from Jilin Province as of March 14, 2019. A Susceptible–Exposed–Infectious–Asymptomatic–Recovered/Removed (SEIAR) model was developed to fit the data, and the effective reproduction number (Reff) was calculated at different stages in the province. Finally, the effectiveness of the measures was assessed. Results A total of 97 COVID-19 infections were reported in Jilin Province, among which 45 were imported infections (including one asymptomatic infection) and 52 were local infections (including three asymptomatic infections). The model fit the reported data well (R2 = 0.593, P < 0.001). The Reff of COVID-19 before and after February 1, 2020 was 1.64 and 0.05, respectively. Without the intervention taken on February 1, 2020, the predicted cases would have reached a peak of 177,011 on October 22, 2020 (284 days from the first case). The projected number of cases until the end of the outbreak (on October 9, 2021) would have been 17,129,367, with a total attack rate of 63.66%. Based on the comparison between the predicted incidence of the model and the actual incidence, the comprehensive intervention measures implemented in Jilin Province on February 1 reduced the incidence of cases by 99.99%. Therefore, according to the current measures and implementation efforts, Jilin Province can achieve good control of the virus’s spread. Conclusions COVID-19 has a moderate transmissibility in Jilin Province, China. The interventions implemented in the province had proven effective; increasing social distancing and a rapid response by the prevention and control system will help control the spread of the disease.

scholarly journals Short-Term Prediction of COVID-19 Cases Using Machine Learning Models

2021 ◽  
Vol 11 (9) ◽  
pp. 4266
Author(s):  
Md. Shahriare Satu ◽  
Koushik Chandra Howlader ◽  
Mufti Mahmud ◽  
M. Shamim Kaiser ◽  
Sheikh Mohammad Shariful Islam ◽  
...  
Keyword(s):  
Machine Learning ◽  
Web Application ◽  
Learning Models ◽  
Short Term ◽  
Infected People ◽  
Infected Case ◽  
First Case ◽  
Novel Coronavirus ◽  
Short Term Prediction ◽  
Machine Learning Models

The first case in Bangladesh of the novel coronavirus disease (COVID-19) was reported on 8 March 2020, with the number of confirmed cases rapidly rising to over 175,000 by July 2020. In the absence of effective treatment, an essential tool of health policy is the modeling and forecasting of the progress of the pandemic. We, therefore, developed a cloud-based machine learning short-term forecasting model for Bangladesh, in which several regression-based machine learning models were applied to infected case data to estimate the number of COVID-19-infected people over the following seven days. This approach can accurately forecast the number of infected cases daily by training the prior 25 days sample data recorded on our web application. The outcomes of these efforts could aid the development and assessment of prevention strategies and identify factors that most affect the spread of COVID-19 infection in Bangladesh.

Novel risk factors for craniofacial microsomia and assessment of their utility in clinic diagnosis

2021 ◽  
Author(s):  
Xiaopeng Xu ◽  
Bingqing Wang ◽  
Zhuoyuan Jiang ◽  
Qi Chen ◽  
Ke Mao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Environmental Risk ◽  
Neural Crest Cell ◽  
Polygenic Risk Score ◽  
Expression Change ◽  
Ontology Term ◽  
Environmental Threats ◽  
Craniofacial Microsomia ◽  
Hypoxic Environment ◽  
Term Enrichment

Abstract Craniofacial microsomia (CFM, OMIM%164 210) is one of the most common congenital facial abnormalities worldwide, but it’s genetic risk factors and environmental threats are poorly investigated, as well as their interaction, making the diagnosis and prenatal screening of CFM impossible. We perform a comprehensive association study on the largest CFM cohort of 6074 samples. We identify 15 significant (P &lt; 5 × 10−8) associated genomic loci (including eight previously reported) and decipher 107 candidates based on multi-omics data. Gene Ontology term enrichment found that these candidates are mainly enriched in neural crest cell (NCC) development and hypoxic environment. Single-cell RNA-seq data of mouse embryo demonstrate that nine of them show dramatic expression change during early cranial NCC development whose dysplasia is involved in pathogeny of CFM. Furthermore, we construct a well-performed CFM risk-predicting model based on polygenic risk score (PRS) method and estimate seven environmental risk factors that interacting with PRS. Single-nucleotide polymorphism-based PRS is significantly associated with CFM [P = 7.22 × 10−58, odds ratio = 3.15, 95% confidence interval (CI) 2.74–3.63], and the top fifth percentile has a 6.8-fold CFM risk comparing with the 10th percentile. Father’s smoking increases CFM risk as evidenced by interaction parameter of −0.324 (95% CI −0.578 to −0.070, P = 0.011) with PRS. In conclusion, the newly identified risk loci will significantly improve our understandings of genetics contribution to CFM. The risk prediction model is promising for CFM prediction, and father’s smoking is a key environmental risk factor for CFM through interacting with genetic factors.

scholarly journals Saprochaete clavata Infection in Immunosuppressed Patients: Systematic Review of Cases and Report of the First Oral Manifestation, Focusing on Differential Diagnosis

2021 ◽  
Vol 18 (5) ◽  
pp. 2385
Author(s):  
Carlo Lajolo ◽  
Rupe Cosimo ◽  
Schiavelli Anna ◽  
Gioco Gioele ◽  
Metafuni Elisabetta ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Acute Myeloid Leukemia ◽  
Differential Diagnosis ◽  
Myeloid Leukemia ◽  
Oral Manifestation ◽  
First Case ◽  
Immunosuppressed Patients ◽  
Meta Analyses ◽  
Acute Myeloid

Background: Saprochaete clavata infection is an emerging issue in immunosuppressed patients, causing fulminant fungaemia. The purpose of this systematic review of cases is to retrieve all cases of S. clavata infection and describe oral lesions as the first manifestation of S. clavata infection. Methods: We report the first case of intraoral S. clavata infection in Acute Myeloid Leukemia (AML) affected subject, presenting as multiple grayish rapidly growing ulcerated swellings, and provide a review of all published cases of infection caused by S. clavata, according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, conducted by searching SCOPUS, Medline, and CENTRAL databases. Only articles in English were considered. Individual patient data were analyzed to identify risk factors for S. clavata infection. Results: Seventeen of 68 retrieved articles were included in the review reporting data on 96 patients (mean age 51.8 years, 57 males and 38 females). Most cases were disseminated (86) with a 60.2% mortality rate. Ninety-five were hematological patients, with AML being the most common (57 cases). Conclusions:S. clavata infection in immunosuppressed patients has a poor prognosis: middle-age patients, male gender and Acute Myeloid Leukemia should be considered risk factors. In immunosuppressed patients, the clinical presentation can be particularly unusual, imposing difficult differential diagnosis, as in the reported case.

scholarly journals Epstein-Barr Virus Versus Novel Coronavirus-Induced Hemophagocytic Lymphohistocytosis: The Uncharted Waters

2020 ◽  
Vol 8 ◽  
pp. 232470962095010 ◽  
Author(s):  
Rawan Amir ◽  
Asim Kichloo ◽  
Jagmeet Singh ◽  
Ravinder Bhanot ◽  
Michael Aljadah ◽  
...  
Keyword(s):  
Bacterial Infections ◽  
Epstein Barr Virus ◽  
Genetic Mutations ◽  
High Grade ◽  
The Novel ◽  
Barr Virus ◽  
First Case ◽  
Epstein Barr ◽  
Virus Versus ◽  
Novel Coronavirus

Hemophagocytic lymphohistocytosis (HLH) is a hyperinflammatory syndrome characterized by fever, hepatosplenomegaly, and pancytopenia. It may be associated with genetic mutations or viral/bacterial infections, most commonly Epstein-Barr virus (EBV) and cytomegalovirus. As for the novel coronavirus, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), also known as COVID-19 (coronavirus disease-2019), the cytokine storm it triggers can theoretically lead to syndromes similar to HLH. In this article, we report a case of a 28-year-old female who presented with high-grade fevers, found to have both SARS-CoV-2 and EBV infections, and eventually began to show signs of early HLH. To our knowledge, this is the first case reported in literature that raises the possibility of SARS-CoV-2–related HLH development.

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