AUCTORES
Globalize your Research
iBet uBet web content aggregator. Adding the entire web to your favor.
Link to original content: https://www.auctoresonline.org/article/sars-cov-2-virion-debacle-humane-an-analytical-approach
Research Article | DOI: https://doi.org/10.31579/2690-4861/328
Senior Member, IEEE Professor and Principal, Computer Science Department, Lenora College of Engineering, India.
*Corresponding Author: Raja Sarath Kumar Boddu, Senior Member, IEEE Professor and Principal, Computer Science Department, Lenora College of Engineering, India.
Citation: Raja S. K. Boddu, (2023), SARS-CoV-2 Virion, Debacle Humane: An Analytical Approach, International Journal of Clinical Case Reports and Reviews, 14(3); DOI:10.31579/2690-4861/328
Copyright: © 2023, Raja Sarath Kumar Boddu. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Received: 01 August 2023 | Accepted: 14 August 2023 | Published: 22 August 2023
Keywords: covid-19; machine learning; mortality; sars-cov-2; virion; vaccination
World Health Organization (WHO) declared the coronavirus diseases COVID-19 is pandemic, as the virus SARS-CoV2, which causes coronavirus diseases (COVID-19) and its variants has spread all over the world. This pandemic disease, COVID-19 is primarily described as an infectious disease-causing severe acute respiratory syndrome (SARS). Later it transforms into severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virion variant. These virion variants have emerged across the globe with deceptively higher transmissibility and with immunity deteriorate capabilities. In this research paper, it is proposed to compare several ML algorithms to predict the COVID-19 mortality using the various countries data and choose the best performing algorithm as a predictive tool for decision-making. This study aimed to develop a mortality risk prediction for COVID-19 based on ML algorithms that utilize data.
COVID-19 pandemic is a worldwide epidemic. It is unfortune to recollect, but the fact is that 626,337,158 confirmed cases of COVID-19 have been witnessed, including 6,566,610 deaths globally as per WHO as per statistics as on 28, October 2022, its totally debacle the humane [1]. Further, as of 19 August 2022, a total of 12,814,704,622 vaccine doses have been administered globally [1]. This statement gives hope and immense pleasure with respect to vaccination statistics globally. Even then, the situation is becoming worse and worse. Millions of people diseased globally. Top ten highest deaths happened countries were listed in the table 1.
A. SARS-CoV-2 virion and its variants
Later days, the infectious disease-causing severe acute respiratory syndrome (SARS) transform herself into SARS-CoV-2 and further into various variants like Alpha, Beta, Gamma, Delta, Omicron (BA.1), Omicron (BA.2). Omicron (BA.4). Omicron (BA.5), Omicron (BA2.12.1), Omicron (BA2.75) and others. Figure 1 represents the SARS-CoV-2 variants in the selected 10 countries listed in table.1. The immunity of an Individual infected person of SARS-CoV-2 could be possible to estimate when the disease symptoms of a disease is known up to some extent.[2] The quantitative analysis of viral load, Ron Sender et.al estimated that each infected person carries viral load of SARS-CoV-2 bodily fluids up to 100 billion virions when infected, an equivalent mass of 0.10 mg approximately. It could be a mass of up to 10 kg. when estimated with global infected humane [3].
Figure 1: SARS-CoV-2 variants in the selected 10 countries as on 25th August, 2022
Actually, viruses are nucleoproteins and are non-cellular structures with infectious, genetic material. Virions are capsid encapsulated viruses with DNA or RNA molecules. The coronavirus is the cluster of related RNA (Ribo Nucleic Acid) viruses that is commonly found in birds and mammals [3]. It has both nucleic acid as well as protein layers.
Figure 2: Scientifically accurate atomic model of coronavirus (SARS-CoV-2). Each "ball" is an atom.
Machine Learning (ML) Algorithms are commonly used as alternative methods for classification and prediction and could be used as a potential solution for predicting mortality during COVID-19 globally.[4]
As covid-19 pandemic became nightmare, all countries would have been initiated and implemented counter measures such as lockdown, restrictions on movement, public and private conveyance and offices, airport, railways, roadways and all carriages in and out of every country placed underneath the quarantine, maintaining social distancing and physical isolation and repeatedly disinfection of public spaces and so on to prevent spreading COVID-19 on war basis as the healthcare systems have been collapsed in many of the countries pathetically. In addition to the above, people are advised to washing their hands thoroughly or use of sanitizer, preferably to stay home, mouth and nose covering with mask especially when coughing or sneezing and so on, to lessen the spreading of COVID-19 pandemic. On the other hand, this pandemic has also witnessed the drastic downfall of the economy across the world due to eccentric activities initiated by the several countries. In addition to this, the impermanence rate is increasing day by day and bluntly demanding an early response to diagnose and prevent the blowout of this uncurable disease. One of the critical aspects of spreading of COVID-19 is due to lack of specific clinical detection, medications and treatments, subsequently the situation has become distortion and terrifying worldwide.
| Country | Confirmed | Deaths | Case-fatality | Deaths/100k pop. |
| USA | 94,190,979 | 1,043,840 | 1.1% | 316.83 |
| India | 44,415,723 | 527,799 | 1.2% | 38.25 |
| France | 34,662,834 | 154,897 | 0.4% | 237.39 |
| Brazil | 34,368,909 | 683,397 | 2.0% | 321.51 |
| Germany | 32,041,350 | 147,104 | 0.5% | 176.90 |
| United Kingdom | 23,708,629 | 205,414 | 0.9% | 302.59 |
| South Korea | 23,026,960 | 26,618 | 0.1% | 51.92 |
| Italy | 21,806,509 | 175,347 | 0.8% | 290.01 |
| Russia | 19,123,501 | 376,301 | 2.0% | 257.86 |
| Japan | 18,531,986 | 39,047 | 0.2% | 30.87 |
Table 1: Top 10 countries- total confirmed, deaths, and recovered cases and mortality by country
Even though, the origin of the COVID-19 pandemic is struggling to handle it, fortunately, the scientific fraternity has changed the state of COVID-19 in all aspects from hopelessness to hope. Rigorous research has been initiated and done globally which has resulted in the evidence to breakdown on the unrestricted blowout of the COVID-19 pandemic by the development of precautionary trials including vaccines [4].
Figure 3: Confirmed COVID-19 cases, deaths, hospitals admissions, and patients in ICU per million people
The cumulative confirmed deaths during COVID-19[5] has been recorded officially.
This research paper is structured as follows: Section 1, introduction section stated with relevant basic information, facts and figures and data.; Next is the problem statement which states the problem and objective of the research methodology in Section 2. Section 3 is the proposed methodology which states the data, mortality statistics and technique used, architecture and software process flow. Section 4 describes the data, dataset, the steps of the empirical analysis and the discussion of the results; and Section 5 discusses this study’s limitations, conclusion where we have listed our findings and future developments.
Seven machine learning classification techniques are applied, Naive Bayes Classifier, J48 pruned tree Classifier, Bayes Network Classifier, JRIP, SVM, Random Forest and K-NN, to evaluate the dataset. Naive Bayes Classifier, is a subset of Bayesian theory for text classification which classifies the transferred data in a readable format. Naive Bayes classification algorithm discriminates against the dataset based on particular features or attributes. J48 Decision Tree, is an algorithm that produces a graphical tree, which is a frequently used for classification purposes. it uses a divide and conquer approach, which divides the instances into sub-range based on the values of the attributes. Bayes Network Classifier, is a compact, flexible and interpretable representation of a joint probability distribution [6]. These are ideal for taking an event that occurred and predicting the likelihood that any one of several possible known causes was the contributing factor. JRIP, it implements a propositional rule learner called as “Repeated Incremental Pruning to Produce Error Reduction” (RIPPER) and uses sequential covering algorithms for creating ordered rule lists. The algorithm goes through 4 stages: Growing a rule, Pruning, Optimization and Selection.in Weka, it's called JRIP. It's a basic incremental reduced-error pruning algorithm. Support Vector Machines (SVM), is a supervised learning method for classifying and predicting data. In the classification task, training and testing are involved with the data. Each instance contains the target values in training. SVM provides a set of supervised learning models which enables our present study to perform classification and regression tasks that gives accurate prediction [7]. Support vectors have the information points that lie closest to the decision surface which are also called as hyper planes. Random Forest (RF), the algorithm also produces a tree, but several trees will be generated from the values of random samples in the dataset, and the final result will be based on the results of the majority of the developed trees. An eventual improvement in accuracy thus resulted from such ensemble of trees in selecting the most suitable class. k-Nearest Neighbor’s (KNNs), are one of the best among the “simplest” supervised machine learning algorithms and have been well studied in the field of pattern recognition and a case-based learning method used to solve the classification and regression problem. It relies on labelled data to provide the correct output for unlabeled data.[8]
In classification technique, the training of dataset is supposed to be implemented first on the 7 different algorithms mentioned above and applied. Once the training process is completed next comes the performance evaluation phase which is very important as it helps to evaluate the model’s performance. The performance of each developed model was evaluated using sensitivity, specificity, accuracy, precision, and ROC of the performance metrics. The automation machine learning tool, Waikato Environment for Knowledge Analysis (WEKA) [9], has been used for data cleansing, pre-processing, feature extraction and classification of the dataset and to simulate the models.
Prior to modeling development stage, the selection criteria would be purely based on the related studies in the field and proper reviews has been made thoroughly, later, the mortality prediction model has been constructed based on these seven ML algorithms Naive Bayes, J48, Bayes Net, JRIP, SVM, Random Forest and K-NN.
A 10-fold cross-validation process system has been used for evaluating the performance for classification models. In 10-fold cross-validation process, the original samples are randomly partitioned into 10 sub-samples of about equal size. One of the 10 sub-samples was applied as the validation dataset for testing the models, and the remaining 9 sub-samples were applied as training datasets. The cross-validation method was then repeated 10 times with one of the 10 sub-samples applied sequentially for each validation. Finally, the validation results from ten experimental models are then mixed to render the performance metrics sensitivity, specificity, accuracy, precision, and ROC derived from testing only.
Mortality varies by time and location, and its measurement is affected by well-known biases that have been intensified during the COVID-19 pandemic. most affected by COVID-19 worldwide, the bars in the chart below show the number of deaths either per 100 confirmed cases or per 100,000 population. Countries at the top of this figure have the most deaths proportionally to their COVID-19 cases or population.[10]
Figure 4: Cumulative confirmed COVID-19 deaths, excess mortality
The diagonal lines on the chart Figure.5 correspond to different case fatality ratios. Countries falling on the uppermost lines have the highest observed case fatality ratios. Points with a black border correspond to the 20 most affected countries by COVID-19 worldwide, based on the number of deaths.
Figure 5: Mortality- Observed case-fatality ratio
The dataset, worldometer data, has been taken from Kaggle [11] is used for analysis and prediction of mortality during COVID-19. The dataset contains 16 features with 209 country records. These features lead Kaggle to the large utilized database for researchers globally as it provides features of the mortality in various countries, region-wise details, total cases, total deaths and the mortality rate. These are utilized in the present work to learn about infections and mortality progression.
The total number of instances are 209, which represents countries, while the number of attributes is 16 that represents country/region, continent, population, total cases, new cases, total deaths, new deaths, total recovered, new recovered, active cases, serious, critical, total Cases/1m pop, deaths/1m pop, total tests, tests/1m pop and WHO region. Once the dataset is loaded into the model its resultant plot matrix is shown in figure.6. The plot matrix shows the correlation within the attributes of the dataset here there two sets of numerical results, one on each axis, to see if there is a connection between them. The points will fall into a line or curve if the variables are connected. The more the points embrace the axis, the better the connection.
| Algorithm/ performance | Accuracy | Precision | Recall | F-Measure | ROC |
| Naive Bayes | 49.45% | 0.581 | 0.495 | 0.489 | 0.745 |
| Bayes Net | 76.08% | 0.733 | 0.761 | 0.745 | 0.935 |
| JRIP | 73.91% | 0.704 | 0.739 | 0.716 | 0.884 |
| SVM | 77.17% | 0.803 | 0.772 | 0.770 | 0.894 |
| Random Forest | 77.17% | 0.722 | 0.772 | 0.737 | 0.942 |
| K-NN | 76.08% | 0.762 | 0.761 | 0.756 | 0.858 |
| J48 | 78.80% | 0.772 | 0.788 | 0.778 | 0.887 |
Table 2: Major accuracy measures from the 10-fold cross-validation performance of the models built using the supervised machine learning algorithms.
As mentioned before the proposed methodology consist of 7 different classification algorithms Naive Bayes, J48, Bayes Net, JRIP, SVM, Random Forest and K-NN. When K-NN algorithm applied the total number of instances the number of correctly classified instances are 140 while the incorrect classified instances are 44 with the accuracy of 76.087% and with 0.762 and 0.761 of precision and recall respectively. Bayes Net algorithm the total no of instances the correctly classified instances are 140 with 44 incorrect classified instances, the accuracy was 49.4565% with precision and recall of 0.733 and 0.761 respectively. Naive Bayes algorithm the total no of instances the correctly classified instances are 91 with 93 incorrect classified instances, the accuracy was 68.53% with precision and recall of 0.581 and 0.495 respectively. Random Forest algorithm where from the total no of instances the correctly classified instances are 142 with 42 incorrect classified instances, the accuracy was 77.1739% with precision and recall of 0.722 and 0.772 respectively. SVM algorithm the total no of instances the correctly classified instances are 142 with 42 incorrect classified instances, the accuracy was 77.1739% with precision and recall of 0.803 and 0.772 respectively. When J48 algorithm applied the total number of instances the number of correctly classified instances are 145 while the incorrect classified instances are 39 with the accuracy of 78.8043% and with 0.772 and 0.788 of precision and recall respectively. When JRip algorithm applied the total number of instances the number of correctly classified instances are 136 while the incorrect classified instances are 48 with the accuracy of 73.913% and with 0.704 and 0.739 of precision and recall respectively [12] as per the results listed in the table 2.
Figure 6: Plot Matrix of Proposed dataset.
This research paper aimed to develop and validate ML models based on the most relevant features in determining the risk of COVID-19 mortality. To achieve this, Naive Bayes Classifier, J48 pruned tree Classifier, Bayes Network Classifier, JRip, SVM, Random Forest and K-NN models were implemented using a dataset. The experimental results showed in table.2 that J48 had the best performance among the other seven ML techniques with the accuracy of 78.80%, precision of 77.20% and ROC around 88.70% is well. Different studies have been evaluating the application of ML techniques in predicting mortality in the patients with COVID-19. The selected features are used as inputs for developing ML-based models for severity, deterioration, and mortality of COVID-19 patient risk analysis. The proposed algorithms could predict the mortality with ROC, accuracy, precision, sensitivity, and specificity rates [13]. J48 ML algorithm performance has been reported as the best among all other ML algorithms tested.
Figure 7: COVID-19 cases, tests, positive rate and reproduction rate.
Figure 8: Estimate of The Effective Reproduction Rate (R) Of COVID-19.
This research paper helps us to serves the purpose of humans in predicting the disease that influences the disease spread abnormalities and high recovery rate. The COVID-19 pandemic has a tremendous impact on the life of people globally and the number of infected patients has considerably increased. Results have shown that the values are important to control the spread of infection. However, it is not described or evaluated which population groups should be vaccinated. it is assumed that the number of vaccines is sufficient. The J48 model performed best on classification accuracy among the other six ML algorithms. The proposed model can be suitably used for predicting the mortality risk of COVID-19.
The future work is to provide better significant results using several other machine learning models for finding estimates that helps the online datasets, clinicians, medical and governmental organizations to look forward for real time preparations ahead at this sort of pandemic disease in future. It is strongly considered that, with large and public databases, better ML models can be developed by researchers to detect and predict the COVID-19 accurately. In the future, the performance of our model will be enhanced if tested on more classification techniques at larger and different datasets.
I acknowledge the help of the public databases, worldometer_data.csv, (https://www.kaggle.com/datasets /imdevskp/corona-virus-report?select=worldometer_data.csv), and for graphical representation (https://www.worldometers.info/coronavirus/) for making available data which is used in this research paper.
I, Raja Sarath Kumar Boddu, consciously assure that for this manuscript, SARS-CoV-2 virion, debacle humane: An Analytical approach, the following is fulfilled:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
After couple of research papers published on corona virus during lockdown, I would like to know that how much total weight of the corona virion spread-out globally, even though it was weighted very little, might be nanogram. I searched it several research papers and I found it one research paper listed in references [3]. the fact is that one infected person carries an estimated 1 billion to 100 billion virions during peak infection, their total mass is no more than 0.1 mg and its diameter size from 20 nm to as large as 500 nm. Later, my enthusiastic research habituation, forced me to write a full research paper, then I started research to write a full paper on how the corona virion devastated the mankind, then I started writing the general introduction and the literature search and so on. It took much time to collect data. At this juncture, I would say, that I designed the study, performed data management, conducted the data analysis, wrote the first draft of the manuscript and up to final.
No funding received.
I collected dataset, world meter, from Kaggle [11] which contains full of COVID-19 information for the all nations. I applied the data on the 7 machine learning algorithms mentioned and evaluated with WEKA tool. Results were tabulated. Further, I found graphical user interface website, wroldometer.info for generating graphical view for the given data. I got some graphical views for the pictorial representation for better understanding to the readers. Some graphical representations were incorporated in this research paper.
Clearly Auctoresonline and particularly Psychology and Mental Health Care Journal is dedicated to improving health care services for individuals and populations. The editorial boards' ability to efficiently recognize and share the global importance of health literacy with a variety of stakeholders. Auctoresonline publishing platform can be used to facilitate of optimal client-based services and should be added to health care professionals' repertoire of evidence-based health care resources.
Journal of Clinical Cardiology and Cardiovascular Intervention The submission and review process was adequate. However I think that the publication total value should have been enlightened in early fases. Thank you for all.
Journal of Women Health Care and Issues By the present mail, I want to say thank to you and tour colleagues for facilitating my published article. Specially thank you for the peer review process, support from the editorial office. I appreciate positively the quality of your journal.
Journal of Clinical Research and Reports I would be very delighted to submit my testimonial regarding the reviewer board and the editorial office. The reviewer board were accurate and helpful regarding any modifications for my manuscript. And the editorial office were very helpful and supportive in contacting and monitoring with any update and offering help. It was my pleasure to contribute with your promising Journal and I am looking forward for more collaboration.
We would like to thank the Journal of Thoracic Disease and Cardiothoracic Surgery because of the services they provided us for our articles. The peer-review process was done in a very excellent time manner, and the opinions of the reviewers helped us to improve our manuscript further. The editorial office had an outstanding correspondence with us and guided us in many ways. During a hard time of the pandemic that is affecting every one of us tremendously, the editorial office helped us make everything easier for publishing scientific work. Hope for a more scientific relationship with your Journal.
The peer-review process which consisted high quality queries on the paper. I did answer six reviewers’ questions and comments before the paper was accepted. The support from the editorial office is excellent.
Journal of Neuroscience and Neurological Surgery. I had the experience of publishing a research article recently. The whole process was simple from submission to publication. The reviewers made specific and valuable recommendations and corrections that improved the quality of my publication. I strongly recommend this Journal.
Dr. Katarzyna Byczkowska My testimonial covering: "The peer review process is quick and effective. The support from the editorial office is very professional and friendly. Quality of the Clinical Cardiology and Cardiovascular Interventions is scientific and publishes ground-breaking research on cardiology that is useful for other professionals in the field.
Thank you most sincerely, with regard to the support you have given in relation to the reviewing process and the processing of my article entitled "Large Cell Neuroendocrine Carcinoma of The Prostate Gland: A Review and Update" for publication in your esteemed Journal, Journal of Cancer Research and Cellular Therapeutics". The editorial team has been very supportive.
Testimony of Journal of Clinical Otorhinolaryngology: work with your Reviews has been a educational and constructive experience. The editorial office were very helpful and supportive. It was a pleasure to contribute to your Journal.
Dr. Bernard Terkimbi Utoo, I am happy to publish my scientific work in Journal of Women Health Care and Issues (JWHCI). The manuscript submission was seamless and peer review process was top notch. I was amazed that 4 reviewers worked on the manuscript which made it a highly technical, standard and excellent quality paper. I appreciate the format and consideration for the APC as well as the speed of publication. It is my pleasure to continue with this scientific relationship with the esteem JWHCI.
This is an acknowledgment for peer reviewers, editorial board of Journal of Clinical Research and Reports. They show a lot of consideration for us as publishers for our research article “Evaluation of the different factors associated with side effects of COVID-19 vaccination on medical students, Mutah university, Al-Karak, Jordan”, in a very professional and easy way. This journal is one of outstanding medical journal.
Dear Hao Jiang, to Journal of Nutrition and Food Processing We greatly appreciate the efficient, professional and rapid processing of our paper by your team. If there is anything else we should do, please do not hesitate to let us know. On behalf of my co-authors, we would like to express our great appreciation to editor and reviewers.
As an author who has recently published in the journal "Brain and Neurological Disorders". I am delighted to provide a testimonial on the peer review process, editorial office support, and the overall quality of the journal. The peer review process at Brain and Neurological Disorders is rigorous and meticulous, ensuring that only high-quality, evidence-based research is published. The reviewers are experts in their fields, and their comments and suggestions were constructive and helped improve the quality of my manuscript. The review process was timely and efficient, with clear communication from the editorial office at each stage. The support from the editorial office was exceptional throughout the entire process. The editorial staff was responsive, professional, and always willing to help. They provided valuable guidance on formatting, structure, and ethical considerations, making the submission process seamless. Moreover, they kept me informed about the status of my manuscript and provided timely updates, which made the process less stressful. The journal Brain and Neurological Disorders is of the highest quality, with a strong focus on publishing cutting-edge research in the field of neurology. The articles published in this journal are well-researched, rigorously peer-reviewed, and written by experts in the field. The journal maintains high standards, ensuring that readers are provided with the most up-to-date and reliable information on brain and neurological disorders. In conclusion, I had a wonderful experience publishing in Brain and Neurological Disorders. The peer review process was thorough, the editorial office provided exceptional support, and the journal's quality is second to none. I would highly recommend this journal to any researcher working in the field of neurology and brain disorders.
Dear Agrippa Hilda, Journal of Neuroscience and Neurological Surgery, Editorial Coordinator, I trust this message finds you well. I want to extend my appreciation for considering my article for publication in your esteemed journal. I am pleased to provide a testimonial regarding the peer review process and the support received from your editorial office. The peer review process for my paper was carried out in a highly professional and thorough manner. The feedback and comments provided by the authors were constructive and very useful in improving the quality of the manuscript. This rigorous assessment process undoubtedly contributes to the high standards maintained by your journal.
International Journal of Clinical Case Reports and Reviews. I strongly recommend to consider submitting your work to this high-quality journal. The support and availability of the Editorial staff is outstanding and the review process was both efficient and rigorous.
Thank you very much for publishing my Research Article titled “Comparing Treatment Outcome Of Allergic Rhinitis Patients After Using Fluticasone Nasal Spray And Nasal Douching" in the Journal of Clinical Otorhinolaryngology. As Medical Professionals we are immensely benefited from study of various informative Articles and Papers published in this high quality Journal. I look forward to enriching my knowledge by regular study of the Journal and contribute my future work in the field of ENT through the Journal for use by the medical fraternity. The support from the Editorial office was excellent and very prompt. I also welcome the comments received from the readers of my Research Article.
Dear Erica Kelsey, Editorial Coordinator of Cancer Research and Cellular Therapeutics Our team is very satisfied with the processing of our paper by your journal. That was fast, efficient, rigorous, but without unnecessary complications. We appreciated the very short time between the submission of the paper and its publication on line on your site.
I am very glad to say that the peer review process is very successful and fast and support from the Editorial Office. Therefore, I would like to continue our scientific relationship for a long time. And I especially thank you for your kindly attention towards my article. Have a good day!
"We recently published an article entitled “Influence of beta-Cyclodextrins upon the Degradation of Carbofuran Derivatives under Alkaline Conditions" in the Journal of “Pesticides and Biofertilizers” to show that the cyclodextrins protect the carbamates increasing their half-life time in the presence of basic conditions This will be very helpful to understand carbofuran behaviour in the analytical, agro-environmental and food areas. We greatly appreciated the interaction with the editor and the editorial team; we were particularly well accompanied during the course of the revision process, since all various steps towards publication were short and without delay".
I would like to express my gratitude towards you process of article review and submission. I found this to be very fair and expedient. Your follow up has been excellent. I have many publications in national and international journal and your process has been one of the best so far. Keep up the great work.
We are grateful for this opportunity to provide a glowing recommendation to the Journal of Psychiatry and Psychotherapy. We found that the editorial team were very supportive, helpful, kept us abreast of timelines and over all very professional in nature. The peer review process was rigorous, efficient and constructive that really enhanced our article submission. The experience with this journal remains one of our best ever and we look forward to providing future submissions in the near future.
I am very pleased to serve as EBM of the journal, I hope many years of my experience in stem cells can help the journal from one way or another. As we know, stem cells hold great potential for regenerative medicine, which are mostly used to promote the repair response of diseased, dysfunctional or injured tissue using stem cells or their derivatives. I think Stem Cell Research and Therapeutics International is a great platform to publish and share the understanding towards the biology and translational or clinical application of stem cells.
I would like to give my testimony in the support I have got by the peer review process and to support the editorial office where they were of asset to support young author like me to be encouraged to publish their work in your respected journal and globalize and share knowledge across the globe. I really give my great gratitude to your journal and the peer review including the editorial office.
I am delighted to publish our manuscript entitled "A Perspective on Cocaine Induced Stroke - Its Mechanisms and Management" in the Journal of Neuroscience and Neurological Surgery. The peer review process, support from the editorial office, and quality of the journal are excellent. The manuscripts published are of high quality and of excellent scientific value. I recommend this journal very much to colleagues.
Dr.Tania Muñoz, My experience as researcher and author of a review article in The Journal Clinical Cardiology and Interventions has been very enriching and stimulating. The editorial team is excellent, performs its work with absolute responsibility and delivery. They are proactive, dynamic and receptive to all proposals. Supporting at all times the vast universe of authors who choose them as an option for publication. The team of review specialists, members of the editorial board, are brilliant professionals, with remarkable performance in medical research and scientific methodology. Together they form a frontline team that consolidates the JCCI as a magnificent option for the publication and review of high-level medical articles and broad collective interest. I am honored to be able to share my review article and open to receive all your comments.
“The peer review process of JPMHC is quick and effective. Authors are benefited by good and professional reviewers with huge experience in the field of psychology and mental health. The support from the editorial office is very professional. People to contact to are friendly and happy to help and assist any query authors might have. Quality of the Journal is scientific and publishes ground-breaking research on mental health that is useful for other professionals in the field”.
Dear editorial department: On behalf of our team, I hereby certify the reliability and superiority of the International Journal of Clinical Case Reports and Reviews in the peer review process, editorial support, and journal quality. Firstly, the peer review process of the International Journal of Clinical Case Reports and Reviews is rigorous, fair, transparent, fast, and of high quality. The editorial department invites experts from relevant fields as anonymous reviewers to review all submitted manuscripts. These experts have rich academic backgrounds and experience, and can accurately evaluate the academic quality, originality, and suitability of manuscripts. The editorial department is committed to ensuring the rigor of the peer review process, while also making every effort to ensure a fast review cycle to meet the needs of authors and the academic community. Secondly, the editorial team of the International Journal of Clinical Case Reports and Reviews is composed of a group of senior scholars and professionals with rich experience and professional knowledge in related fields. The editorial department is committed to assisting authors in improving their manuscripts, ensuring their academic accuracy, clarity, and completeness. Editors actively collaborate with authors, providing useful suggestions and feedback to promote the improvement and development of the manuscript. We believe that the support of the editorial department is one of the key factors in ensuring the quality of the journal. Finally, the International Journal of Clinical Case Reports and Reviews is renowned for its high- quality articles and strict academic standards. The editorial department is committed to publishing innovative and academically valuable research results to promote the development and progress of related fields. The International Journal of Clinical Case Reports and Reviews is reasonably priced and ensures excellent service and quality ratio, allowing authors to obtain high-level academic publishing opportunities in an affordable manner. I hereby solemnly declare that the International Journal of Clinical Case Reports and Reviews has a high level of credibility and superiority in terms of peer review process, editorial support, reasonable fees, and journal quality. Sincerely, Rui Tao.
Clinical Cardiology and Cardiovascular Interventions I testity the covering of the peer review process, support from the editorial office, and quality of the journal.
Clinical Cardiology and Cardiovascular Interventions, we deeply appreciate the interest shown in our work and its publication. It has been a true pleasure to collaborate with you. The peer review process, as well as the support provided by the editorial office, have been exceptional, and the quality of the journal is very high, which was a determining factor in our decision to publish with you.
The peer reviewers process is quick and effective, the supports from editorial office is excellent, the quality of journal is high. I would like to collabroate with Internatioanl journal of Clinical Case Reports and Reviews journal clinically in the future time.
Clinical Cardiology and Cardiovascular Interventions, I would like to express my sincerest gratitude for the trust placed in our team for the publication in your journal. It has been a true pleasure to collaborate with you on this project. I am pleased to inform you that both the peer review process and the attention from the editorial coordination have been excellent. Your team has worked with dedication and professionalism to ensure that your publication meets the highest standards of quality. We are confident that this collaboration will result in mutual success, and we are eager to see the fruits of this shared effort.
Dear Dr. Jessica Magne, Editorial Coordinator 0f Clinical Cardiology and Cardiovascular Interventions, I hope this message finds you well. I want to express my utmost gratitude for your excellent work and for the dedication and speed in the publication process of my article titled "Navigating Innovation: Qualitative Insights on Using Technology for Health Education in Acute Coronary Syndrome Patients." I am very satisfied with the peer review process, the support from the editorial office, and the quality of the journal. I hope we can maintain our scientific relationship in the long term.
Dear Monica Gissare, - Editorial Coordinator of Nutrition and Food Processing. ¨My testimony with you is truly professional, with a positive response regarding the follow-up of the article and its review, you took into account my qualities and the importance of the topic¨.
Dear Dr. Jessica Magne, Editorial Coordinator 0f Clinical Cardiology and Cardiovascular Interventions, The review process for the article “The Handling of Anti-aggregants and Anticoagulants in the Oncologic Heart Patient Submitted to Surgery” was extremely rigorous and detailed. From the initial submission to the final acceptance, the editorial team at the “Journal of Clinical Cardiology and Cardiovascular Interventions” demonstrated a high level of professionalism and dedication. The reviewers provided constructive and detailed feedback, which was essential for improving the quality of our work. Communication was always clear and efficient, ensuring that all our questions were promptly addressed. The quality of the “Journal of Clinical Cardiology and Cardiovascular Interventions” is undeniable. It is a peer-reviewed, open-access publication dedicated exclusively to disseminating high-quality research in the field of clinical cardiology and cardiovascular interventions. The journal's impact factor is currently under evaluation, and it is indexed in reputable databases, which further reinforces its credibility and relevance in the scientific field. I highly recommend this journal to researchers looking for a reputable platform to publish their studies.
Dear Editorial Coordinator of the Journal of Nutrition and Food Processing! "I would like to thank the Journal of Nutrition and Food Processing for including and publishing my article. The peer review process was very quick, movement and precise. The Editorial Board has done an extremely conscientious job with much help, valuable comments and advices. I find the journal very valuable from a professional point of view, thank you very much for allowing me to be part of it and I would like to participate in the future!”
Dealing with The Journal of Neurology and Neurological Surgery was very smooth and comprehensive. The office staff took time to address my needs and the response from editors and the office was prompt and fair. I certainly hope to publish with this journal again.Their professionalism is apparent and more than satisfactory. Susan Weiner
My Testimonial Covering as fellowing: Lin-Show Chin. The peer reviewers process is quick and effective, the supports from editorial office is excellent, the quality of journal is high. I would like to collabroate with Internatioanl journal of Clinical Case Reports and Reviews.
My experience publishing in Psychology and Mental Health Care was exceptional. The peer review process was rigorous and constructive, with reviewers providing valuable insights that helped enhance the quality of our work. The editorial team was highly supportive and responsive, making the submission process smooth and efficient. The journal's commitment to high standards and academic rigor makes it a respected platform for quality research. I am grateful for the opportunity to publish in such a reputable journal.
My experience publishing in International Journal of Clinical Case Reports and Reviews was exceptional. I Come forth to Provide a Testimonial Covering the Peer Review Process and the editorial office for the Professional and Impartial Evaluation of the Manuscript.
