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Aim: To determine the level of knowledge towards COVID-19 among people. Material(s) and Method(s): A cross-sectional descriptive research design was used for the present study and was conducted among people attending Darbhanga Medical College, Darbhanga, Bihar, India, to assess their knowledge regarding COVID-19. A total of 461 people were recruited for this study and sample of 400 eligible people who fulfill the inclusion criteria were enrolled. Result(s): The association of socio-demographic variables of participants and their knowledge score. It shows that group (p>0.001), gender (p=0.020), education (p=0.001), marital status (p=0.001), age (p=0.020), and inhabitants (p=0.001) were significantly associated with knowledge. Majority of participants 63% having good knowledge while 33% and 1.4% having average and poor knowledge respectively regarding the corona virus pandemic. Conclusion(s): Study concluded that many people were still had average and poor knowledge on COVID-19. Higher authorities must find the ways for making people more aware on this pandemic to control its impact.Copyright © 2023, Dr. Yashwant Research Labs Pvt. Ltd.. All rights reserved.
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Popular SIR models and their modifications used to generate predictions about epidemics and, specifically, the COVID-19 pandemic, are inadequate. The aim of this study was to find the laws describing the probability of infection in a biological object. Using theoretical methods of research based on the probability theory, we constructed the laws describing the probability of infection in a human depending on the infective dose and considering the temporal characteristics of a given infection. The so-called generalized time-factor law, which factors in the time of onset and the duration of an infectious disease, was found to be the most general. Among its special cases are the law describing the probability of infection developing by some point in time t, depending on the infective dose, and the law that does not factor in the time of onset. The study produced a full list of quantitative characteristics of pathogen virulence. The laws described in the study help to solve practical tasks and should lie at the core of mathematical epidemiological modeling.Copyright © 2022 Obstetrics, Gynecology and Reproduction. All rights reserved.
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During the COVID-19 pandemic, several complications arose in infected patients, one of them being mucormycosis, which is an extremely aggressive fungal disease with a high mortality rate, especially in patients with compromised immune systems. Most cases of mucormycosis are caused by the fungus Rhizopus oryzae, also known as black fungus, with 90% of cases affecting the rhinocerebral site. The treatment tools used are based on high doses of amphotericin B and posaconazole, associated with surgical resections when possible. However, even with aggressive antifungal treatment, the estimated attributable mortality rate is high [1]. In the absence of surgical debridement of the infected tissue, antifungal treatment alone is not curative. So there is a need for development of adjuvant treatments. Antimicrobial Photodynamic Therapy (aPDT) may constitute an auxiliary therapeutic option for mucormycosis [2]. Due to the lack of reports on the photodynamic inactivation of R. oryzae, we investigated different protocols Photodithazine (PDZ) as a photosensitizer. The response on the fungus growing rate under distinct treatment parameters as photosensitizer concentration, incubation time, and association with surfactant, will be presented for both white and black hyphal phases, and infective spore phase. Preliminary results show the potential use of photodynamic therapy for the inactivation and growth control of the R. oryzae.Copyright © 2023
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Herein, we establish a novel isothermal digital amplification system termed digital nicking and extension chain reaction system-based amplification (dNESBA) by utilizing the isothermal NESBA technique and the newly developed miniaturized fluorescence monitoring system (mFMS). dNESBA enables parallel isothermal NESBA reactions in more than 10,000 localized droplet microreactors and read the fluorescence signals rapidly in 150 s by mFMS. This system could identify the genomic RNA (gRNA) extracted from target respiratory syncytial virus A (RSV A) as low as 10 copies with remarkable specificity. The practical applicability of dNESBA was also successfully verified by reliably detecting the gRNA in the artificial sputum samples with excellent reproducibility and accuracy. Due to the intrinsic advantages of isothermal amplifying technique including the elimination of the requirement of thermocycling device and the enhanced portability of the miniaturized read-out equipment, the dNESBA technique equipped with mFMS could serve as a promising platform system to achieve point-of-care (POC) digital molecular diagnostics, enabling absolute and ultra-sensitive quantification of various infectious pathogens even in an early stage.Copyright © 2023
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Quarantine length for individuals who have been at risk for infection with SARS-CoV-2 has been based on estimates of the incubation time distribution. The time of infection is often not known exactly, yielding data with an interval censored time origin. We give a detailed account of the data structure, likelihood formulation and assumptions usually made in the literature: (i) the risk of infection is assumed constant on the exposure window and (ii) the incubation time follows a specific parametric distribution. The impact of these assumptions remains unclear, especially for the right tail of the distribution which informs quarantine policy. We quantified bias in percentiles by means of simulation studies that mimic reality as close as possible. If assumption (i) is not correct, then median and upper percentiles are affected similarly, whereas misspecification of the parametric approach (ii) mainly affects upper percentiles. The latter may yield considerable bias. We suggest a semiparametric method that provides more robust estimates without the need of a parametric choice. Additionally, we used a simulation study to evaluate a method that has been suggested if all infection times are left censored. It assumes that the width of the interval from infection to latest possible exposure follows a uniform distribution. This assumption gave biased results in the exponential phase of an outbreak. Our application to open source data suggests that focus should be on the level of information in the observations, as expressed by the width of exposure windows, rather than the number of observations.
Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , SARS-CoV-2 , Probability , Computer Simulation , BiasABSTRACT
The novel Corona virus has been proclaimed as a worldwide pandemic through World Health Organization in the March 2020 has immensely affected the world with its ferocity. By observation, the scientists got to know that it transmits from one human to other by droplets which range from larger respiratory droplets to smaller aerosols or direct contact with an infected person. Its impurity has been assessed to have an incubation time of 6.4 days than a simple reproduction amount of 2.24-3.58.[19] The transmission rate and spread of infection is quite rapid as compared to other fatal viral infections encountered till date. A massive loss of human life was faced even by the developed countries which had the best health-care facilities. According to WHO, COVID-19 has been confirmed in 238,521,855 people over the world, with 4,863,818 deaths as of October 9th, 2021. After experiencing the second covid wave, the number of cases had got dropped drastically but the increase in their number in the recent days is a major cause of concern. This stresses us to build some prediction models which could help in providing relief to the virus-prone areas. In this study, we are using time series for predicting forthcoming cases of corona virus. © 2022 IEEE.
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The oral cavity, like the lungs, is often referred to as the <<ecological niche of commensal, symbiotic, and pathogenic or-ganisms,>> and the emigration and elimination of microbes between them are constant, ensuring a healthy distribution of saprophytic microorganisms that maintains organ, tissue, and immune homeostasis. The prolonged hospital stays due to COVID-19 complications, cross-infection, oxygenation therapy through the mask or incubation, and long-term intravenous infusions limit the patient's ability to care about the oral cavity, regularly clean teeth, floss interdental, etc., which creates extremely favorable conditions for colonization by aerobic and anaerobic pathogens of the oral cavity and periodontal pockets and leads to the rapid progression of chronic generalized periodontitis in this category of patients in the future. The goal of the study was to assess the state of the microbiome of the periodontal pockets of dental patients in the post-covid period. Methods. The object of the study was 140 patients with generalized periodontitis of the I and II stages of development in the chronic course (GP), among which 80 patients had coronavirus disease in the closest past. The patients were randomized by age, sex, and stage of GP development. The diagnosis of periodontal disease was established according to the classification by Danilevskyi. The bacteriological material for aerobic and facultative anaerobic microflora and yeast-like fungi was collected from periodontal pockets with a calibrated bacteriological loop and immediately seeded on blood agar. Results. Significant qualitative and quantitative changes in the nature of the oral microbiocenosis were observed in patients with GP after the recent coronavirus disease, compared with similar patients who did not suffer from COVID-19. We have noticed almost complete disappearance of bacteria that belong to the transient representatives of the oral microflora such as Neisseria, corynebacteria (diphtheria), micrococci, and lac-tobacilli. The main resident representatives of the oral microflora, i.e., alpha-hemolytic Streptococci of the mitis group, were found in all healthy individuals and patients of groups A and C, but in 30.0 +/- 4.58% of patients in group B, alpha-hemolytic streptococci in the contents of periodontal pockets are present in quantities not available for detection by the applied method (<2.7 lg CCU/mL). In terms of species, Streptococcus oralis and Streptococcus salivarius are more characteris-tic in gingival crevicular fluid in healthy individuals (93.8% of selected strains). In 68.4 +/- 3.32% of patients in group A, 64.0 +/- 3.43% of patients in group B, and 67.5 +/- 3.76% of patients in group C, the dominant species were Streptococcus gordonii and Streptococcus sanguinis (p<0.01), which increased pathogenic potential as they produce streptolysin-O, inhibit complement activation, bind to fibronectine, actively form biofilms on the surface of tooth enamel and gum epithelial surface, and can act as an initiator of adhesion of periodontal pathogens. The other representatives of the resident microflora of the oral cavity - Stomatococcus mucilaginosus and Veillonella parvula for the patients of group C are also found in periodontal pockets with a significantly lower index of persistence and minimal population level. In the post-covid period, both the population level and the frequency of colonization of periodontal pockets by Staphylo-cocci and beta-hemolytic Streptococci decreases rapidly. For these patient groups, unlike for those that did not suffer from COVID-19, we did not find any case of colonization with Staphylococcus aureus, as well as beta-hemolytic Streptococci and Epidermal staphylococcus were also absent. The most characteristic in the post-covid period is a decrease in the proportion of alpha-hemolytic Streptococci, an increase in the proportion of yeast-like fungi of Candida species, as well as the appearance of a significant number of gram-negative rod-shaped bacteria (Enterobacteria and Pseudomonads). In periodontal patien s, the microbial count is approximately 2 orders of magnitude lower than in those with GP who did not suffer from COVID-19 (p<0.05). Conclusions. The overpassed coronavirus disease due to intensive antibiotic therapy leads to a marked decrease in the number of viable saprophytic microorganisms in the periodontal pockets of patients with GP. In the post-covid period for the patients with GP, there is a decrease in the level of colonization of periodontal pockets by species of resident oral microflora - alpha-hemolytic Streptococci, reduction of resident micro-organism's species, and almost complete disappearance of transient microflora. On the other hand, the frequency of colonization of periodontal pockets by fungi species, enterobacteria, and pseudomonads significantly increases. There are more expressed disorders in the periodontal pocket's microbiome for the patients with a severe and complicated course of coronavirus disease, such as post-covid pulmonary fibrosis, which requires reconsideration of approaches to therapeutic and pharmacological treatment in this category of patients.Copyright © 2022, Zabolotny Institute of Microbiology and Virology, NAS of Ukraine. All rights reserved.
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Background: Coronavirus, called as, "the worst public health crisis for a generation," is a malevolent silent killer. Objective(s): One of the main concerns is containing the disease and avoiding the second wave of the pan-demic, likely to arise because of the symptomatic patients, while ensuring the safe execution of day to day tasks. Method(s): The indirect transmission of coronavirus from asymptomatic individuals during incubation time and the identification of the people who have accidentally and unknowingly come in contact with infected but asymptomatic patients pose a significant challenge to the health care providers. Result(s): Herein, for the first time, we have introduced a quantitative index;asymptomatic growth, to indicate whether the COVID-19 community spread is under control and if economic activities can be resumed. Conclusion(s): More importantly, our system provides a feasible mechanism for improving the index to a level <1, a safety level at which normal economic activities can be conducted.Copyright © 2021 Bentham Science Publishers.
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Background: Coronavirus belongs to the phylum Incertaesedis, Nidovirales order, Or-thocononaviridae subfamily. and spring up from the family of viruses that can cause the common cold, fever, shortness of breath, aches, chills, loss of smell, etc. Objective(s): As we all know;coronavirus has affected the whole world, and many patients died due to it. As the prevalence of this disease has risen, many myths have also originated like the effect of temperature on the virus;is this virus surely killed by the effect of temperature? Is the effect of this virus is more on the old age patients? In the presented compilation, we have tried to expose the actual reality behind these myths and also tried to find the morphological alteration of coronavirus from the other viruses. Method(s): The recent updates on this virus have been obtained from search engines like Pub med and Google scholar, by using COVID-19, coronavirus, Pandemic corona keywords. Result(s): After a huge search on the temperature effect on this disease, it was evident that there is no effect of temperature on the coronavirus. Due to the immunity factor, it showed its worst effect on old age people in many countries. Conclusion(s): The structure, symptoms and incubation period of coronavirus have been described in this review article. We have summarized how the coronavirus is different from others, and the effects of temperature and old age have also been discussed.Copyright © 2021 Bentham Science Publishers.
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Background: The importance of early diagnosis of a hazardous illness cannot be overstated. The transmission rate is extremely high, especially in the current pandemic condition. The ability to predict epidemics will aid public health in reducing mortality and morbidity. Machine Learning (ML) approaches are used in the construction of an effective disease prognosis model. Furthermore, only if the model learns good associated features from the data is it possible to generate a speedy outcome. As a result, selecting features is also necessary before beginning the forecasting process. Objective(s): However, because of the virus's dynamic structure, it's difficult to predict Nipah disease and/or zoonotic infection. Furthermore, there is no clinical treatment for Nipah. The major goal of this research is to develop a prognostic model for early diagnosis of Nipah disease using a combination of several clinical factors such as symptoms, disease incubation information, and routine blood test results confirmed by a lab technician.Proposed System: The healthcare application and data are more complex to handle than other ML applications since various clinical features are assessed throughout disease manifestation. As a result, selecting the most relevant variables is critical when designing a prognosis model for any viral disease. To deal with clinical features from a vast number of features, we proposed a Restricted Boltzmann Machine (RBM) method in this research. Additionally, we employed a hybrid ensemble learning method to predict if the patient was infected with NiV after choosing features using the RBM. Data Collection: The proposed system is being implemented using the NiV infection dataset that erupted in Kozhikode, Kerala in 2018 and 2019. Result(s): The developed stacking-based ensemble Meta classifier was successfully implemented using the python programming language, and its performance was evaluated using a variety of metrics includingaccuracy, precision, recall, f1-score, log loss, AUROC and MCC. Our proposed Stacking Ensemble Meta Classifier (SEMC) model achieved an accuracy rate of 88.3% with a log loss of 0.36. Model precision, recall, f1-score, AUROC, and MCC value were 92.5%, 89.2%, 90.9%, 92.1%, and 0.74 respectively. In addition, we calculated the gravitational pull of each feature using the SHAP approach and discovered that altered sensorium, fever, headache, and cough were the most critical clinical indicators that distinguished NiVD infection from our dataset. Therefore, this classification may assist the pathologist in diagnosing NiVD with symptoms before performing the RT-PCR medical test. Conclusion(s): Using our proposed SEMC technique, we developed a prognostic model for the diagnosis of Nipah in humans. The proposed technique's discriminatory efficiency exhibited good NiVD diagnosis efficacy. We anticipate that this model will aid medics in determining a prognosis more quickly during future epidemics. However, to achieve maximum accuracy, the model requires more unique samples.Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.
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Objective: The impact of COVID-19 on the number and antibiogram profile of Salmonella was studied between January 2018 and December 2021. The present time period included years before the COVID-19 pandemic, which are 2018 and 2019, and during the pandemic, which are 2020 and 2021. Material(s) and Method(s): Salmonella infections were classified into eight distinct serogroups using slide agglutination with specific antisera (A, B, C, D, E, F, G, and I). The susceptibility to antimicrobial agents were evaluated by the standard disk diffusion method. Result(s): Four hundred fifty-one isolates were detected (139 in 2018, 119 in 2019, 102 in 2021, and 91 in 2021). Salmonella infection decreased by 25.2% from 258 isolates in 2018 and 2019 to 193 in 2020 and 2021. When comparing Salmonella infections in different age groups (0 to 10, 11 to 20, 21 to 30, 31 to 40, 41 to 50, 51 to 60, 61 to 70, and older than 70 years), before and during COVID-19, statistical significance was noted only in patients aged 11 to 20 (p=0.016). For clinical specimens (stool, blood, urine, pus, etc.), statistical significance was found only in blood specimens (p=0.036). The four most predominant Salmonella serogroups were B (31.1%), C (30.6%), E (15.7%), and D (11.4%). S. Typhi was present in 2.1% (4/193) of Salmonella isolates during COVID-19. The findings of a susceptibility test using the disk diffusion method for four commonly used drugs in treatment of severe salmonellosis as ampicillin, cefotaxime, ciprofloxacin, trimethoprim/sulfamethoxazole, before and during COVID-19 demonstrated statistical significance only in Salmonella serogroup D (p=0.028). Overall, drug susceptibility of Salmonella serogroup B, C, D, and E was ampicillin (range 15.1% to 55.9%), cefotaxime (range 66.7% to 100%), ciprofloxacin (range 18.8% to 59.1%), and trimethoprim/sulfamethoxazole (range 70.0% to 93.8%). Conclusion(s): The present study results suggested the importance of monitoring the prevalence of Salmonella at a hospital in Bangkok. The antibiogram of susceptibility helps provide guidelines for clinician to consider empirical treatment.Copyright © 2023 JOURNAL OF THE MEDICAL ASSOCIATION OF THAILAND.
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Livestock products supply about 13 percent of energy and 28 percent of protein in diets consumed worldwide. Diarrhea is a leading cause of sickness and death of beef and dairy calves in their first month of life and also affecting adult cattle, resulting in large economic losses and a negative impact on animal welfare. Despite the usual multifactorial origin, viruses are generally involved, being among the most important causes of diarrhea. There are several viruses that have been confirmed as etiological agents (i.e., rotavirus and coronavirus), and some viruses that are not yet confirmed as etiological agents. This review summarizes the viruses that have been detected in the enteric tract of cattle and tries to deepen and gather knowledge about them.Copyright © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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Introduction: COVID-19 presents a global emergency in recent days and as a consequence, the whole world is in a state of war. Continuous efforts by researchers are being made to establish a sound scientific understanding regarding the behavior of the virus and its pathogenesis. Background(s): In recent days, a lot of scientific data are published describing viral transfusion into host cells, compared with SARS-CoV-1, viability of SARS-CoV-2, fatality and diagnosis of infection among infected patients, thereby, motivating to make right decisions in order to treat and mitigate COVID-19. Review Results: Coronaviruses usually affect the respiratory tract and produce symptoms similar to pneumonia with varied complications. The spike protein on the surface of the virus makes the SARS-CoV-2 phylogenetically different from other viruses of the corona family. SARS-CoV-2 has an affinity to angiotensin converting enzyme-2 receptors present on human cells. The fatality of the disease is found to be low, but the severity of the disease might vary from person to person. The incubation period is 14 days but the symptoms like dry cough and high fever are evident around 3-7 days. Already known anti-inflammatory immunomodulators and antiviral drugs are being tested and still under clinical trials. Conclusion(s): In this review, we are providing an insight into emergence of COVID-19, its correlation with SARS-CoV-1 and the interpretation of global data representing the severity of unexpected dangers for humanity. Certain structural aspects and studies determining the viability of novel coronavirus have also been described. Moreover, case studies of recovered infected patients from COVID-19 explain the progression and patients' pathophysiological conditions while suffering from the infection. Clinical Significance: There are many current strategies which are being tried and practiced to over-come this pandemic disease apart from precautionary measures. Although now, some decline has been seen, but the question still remains the same of whether the scientists are approaching towards the clinical solution, or are still in the midstream. This requires more study and intensive research to finally come to a concrete conclusion.Copyright © 2021 Bentham Science Publishers.
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Background: Novel coronavirus disease (SARS-COV-2 infection or COVID-19) is a respiratory tract infection that has been linked to severe acute respiratory syndrome transmitted particularly through touching and respiration. The purpose of this study is to understand the epidemiological characteristics of COVID-19 cases in a typical tourist-related outbreak and explore the possible route for its transmission. Method(s): All data and epidemiological survey reports of COVID-19 cases in the outbreak were reported by provincial and urban (county) Centers for Disease Control and Prevention and Health Commissions nationwide from October 16th to November 5th, 2021. The epidemiological survey reports included information on gender, age, source of infection (imported from other provinces or locally acquired), daily life track and itinerary, date of symptom onset, and date of diagnosis. The data were analyzed using descriptive statistical methods, one-way analysis of variance, independent t-test, and Chi-square tests. Histograms and percentage stacked area plots were used to describe the epidemiological characteristics of the outbreaks. Result(s): The COVID-19 outbreak associated with the tourist groups has involved 551 COVID-19 cases, with a median age of 44 years (interquartile range: 30-59 years), gradually spreading from the northwestern region to the national level across 15 provinces of China. One-fifth of the cases (16.0%) had traveled to Ejin Banner, resulting in 68 second-generation cases. We estimated an outbreak on 11 flights and 19 trains, accounting for a total of 27 confirmed cases. In addition, 42 clusters of outbreak cases were also reported to occur, 21 (50.0%) in households and 10 (23.81%) in restaurants. About 106 confirmed cases were related to the gatherings in restaurants. The median incubation period for this COVID-19 outbreak was 7 days (inter-quartile range: 5-10 days). Conclusion(s): The survey results indicated that this COVID-19 outbreak originated in Ejin Banner and was spread by tourist groups, which was a typical infection outbreak promoted by travel. Our results further confirmed that travel needs to be more strictly weighed in pandemics like COVID-19, and people need to pay more attention to the prevention against infectious diseases, particularly when traveling in a tourist group.Copyright © 2022 Zheng et al.
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Objective: The pandemic 2019 Coronavirus disease (COVID-19) is the greatest concern globally. Here we analyzed the epidemiological features of China, South Korea, Italy and Spain to find out the relationship of major public health events and epidemiological curves. Study design: In this study we described and analyzed the epidemiological characteristics of COVID-19 in and outside China. We used GAM to generate the epidemiological curves and simulated infection curves with reported incubation period. Result(s): The epidemiological curves derived from the GAM suggested that the infection curve can reflect the public health measurements sensitively. Under the massive actions token in China, the infection curve flattened at 23rd of January. While surprisingly, even before Wuhan lockdown and first level response of public emergency in Guangdong and Shanghai, those infection curve came to the reflection point both at 21st of January, which indicated the mask wearing by the public before 21st Jan were the key measure to cut off the transmission. In the countries outside China, infection curves also changed in response to measures, but its rate of decline was much smaller than the curve of China's. Conclusion(s): The present analysis comparing the epidemiological curves in China, South Korea, Italy and Spain supports the importance of mask wearing by the public. Analysis of the infection curve helped to clarify the impact of important public health events, evaluate the efficiencies of prevention measures, and showed wearing masks in public resulted in significantly reduced daily infected cases.Copyright © 2020 The Author(s)
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Background: The new public health emergency of COVID-19 caused by a novel Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), which originated in Wuhan, Hubei province, China in December 2019, evolved into a pandemic in no time and is still in progression. The novel virus mainly targets the lower respiratory system, leading to viral pneumonia, with other associated complications of multi organ failure. Discussion(s): The bats, in particular Rhinolophus affinis, is a natural host of SARS-CoV-2 and the virus is considered to have spread to humans through yet controversial intermediate host pangolins. The incubation period ranges from 2-14 days and mode of person-to-person transmission is primari-ly via the direct contact with the infected person or through the droplets generated by the infected person during coughing or sneezing. The initiation of the infection process by SARS-CoV-2 virus is the invasion of lung type II alveolar cells via a receptor protein called angiotensin-converting enzyme 2 (ACE2) present on the cell membrane with glycosylated spike (S) viral protein that medi-ates host cell invasion. The main diagnostic tools employed are molecular methods based on nucleic acid detection engaging real-time quantitative polymerase chain reaction (RT-qPCR) and a new immunoassays based on antibodies IgM/IgG. Conclusion(s): Due to the lack of specific clinically approved anticovid-19 drugs or vaccines that could be used for its prevention or treatment, the current management approach is essentially sup-portive and symptomatic. The precautionary measures like, social distancing, cleaning hands with soap or sanitizers, using disinfectant solutions to decontaminate the surfaces of things and proper ventilation, wearing masks and other protective gears to curb transmission. The knowledge regard-ing COVID-19 therapies is still evolving and collaborative efforts are being put in to discover definitive therapies on different themes in the form of vaccines, repurposing drugs, RNA interfer-ence, docking studies, etc.Copyright © 2021 Bentham Science Publishers.
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Introduction: The present study examines clinical features of patients infected with the 2019 sever acute respiratory syndrome coronavirus 2(SARS-Cov-2) leading to the coronavirus disease 2019 (covid-2019) in Rasool Akram hospital, Tehran, Iran. Material(s) and Method(s): This was a retrospective case report performed at Rasool Akram hospital, Tehran, Iran. A total of 77 patients referred to the hospital with SARS-Covid-2 infection. Data of the present study has been collected from March 5th to April 5th 2020. Result(s): Intensive care unit (ICU) has admitted 20 patients out of 77 patients. Among this sample, 23 patients were infected with acute respiratory syndrome and the other 18 remaining passed away. The calculated mean age of the patients admitted to the ICU was 60.8, 18 out of whom had deceased. In our results, male patients outnumber female patients where male patients account for 62.33% and female patients account for 37.66% of the whole study population. The most frequent and usual sings of this disease first reported as respirational distress or dyspnea (54.54%), coughs (54.54%) and myalgia (25.97). Only 3.89% of the patients had chest pain or chest discomfort. The most common comorbidities among those patients taken in the ICU and or deceased were diabetes, cardiovascular problems, hypertension and endocrine system problems. Out of 18 deaths, 11 (61.11%) cased had comorbidities. Among radiography and CT-scan results, 62.79% of the patients had involvement on chest radiography and 98.15% of the patients showed consolidation with ground glass opacities and 83.33% showed pleural effusion on their scan results. Conclusion(s): Having as much thorough information as possible about the characteristics of the patients infected with this virus helps us make better and sooner judgmental calls and more accurate diagnosis.Copyright © 2020 Ubiquity Press. All rights reserved.
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Coronavirus disease 2019 (COVID-19) is defined as an illness caused by SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). COVID-19 was first reported in the Wuhan, China, in late December, 2019. The World Health Organization (WHO) declared COVID-19 a global emergency on March 11, 2020. COVID-19 was rapidly transmitted and caused infection in 21,294,845 people and 761,779 deaths in more than 213 countries worldwide till August 16, 2020. United States of America (USA), Brazil, India, Russia Federation, Peru, Mexico, Colombia, Spain, France, Italy, Germany, and United Kingdom (UK) stand top COVID-19 affected countries in the world. The high transmission rate of COVID-19 might be due to large viral incubation time (2-14 days) and some modifications in the spike glycoprotein. Currently, effective drugs or vaccines are not developed for the treatment of novel coronavirus. However, few antibiotics like hydroxychloroquine and remdesivir have been currently used for the treatment of COVID-19 infection. Several collaboratives are working together for developing an effective and safe vaccine against COVID-19 and few vaccines are under clinical trial. Scientists are also working on plasma therapy and monoclonal antibodies. Nowadays, plasma therapy is considered the most effective treatment against COVID-19 and some promising results have been achieved. This review focuses on several therapeutic options for COVID-19, such as anti-viral drugs, vaccines, plasma therapy, and monoclonal antibodies. This review also covers the current situations of COVID-19 in the world. This review is about COVID-19, which will be beneficial to researchers for the development of potential treatment against it.Copyright © 2021 Bentham Science Publishers.