{"title":"Trajectory of Corona Epidemic in India: An Initial Phase Predictive Mathematical Model and the Present Status","authors":"N. Soni","doi":"10.33552/abba.2021.04.000588","DOIUrl":"https://doi.org/10.33552/abba.2021.04.000588","url":null,"abstract":"The novel Coronavirus and its subsequent mutations have been a cause of concern across the world as the human-to-human infection is spreading at a fast pace. Scientists across the world from different disciplines are working to understand the biology, the diseases cycle, epidemiology, and various other attributes of the virus. Mathematicians and statisticians along with computational scientists have come with predictive models that are regional, or state specific. In this paper, we trace a trajectory of the pandemic course in India starting from the initial phase till now, presenting a predictive mathematical model that captured the fate of the virus in the initial phase (till April 2020), indicative data, future projections, and the present status (May 2021) in India. The model predicted that the number of infected people shall increase in India unless physical distancing was implemented in the real sense. The Indian Government with inputs from eminent scientists, laboratory technicians, health care workers, and many excellent predictive models, has done well in containing the pandemic in the first phase. However, owing to the varied environmental conditions prevalent in different areas and mutations in the virus itself, a surge in the number of COVID cases is seen. The model presented in this paper is important as it can provide leads to the health care specialists to prepare the necessary health care facilities and help the rural areas to boost their preparedness to fight the pandemic.","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115710552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Is There Only One Analysis?","authors":"J. Herson","doi":"10.33552/ABBA.2020.04.000576","DOIUrl":"https://doi.org/10.33552/ABBA.2020.04.000576","url":null,"abstract":"There has been much controversy about the role of p<0.05 the traditional requirement that the attained significance level from an experiment yield this result in order for the outcome to be considered evidence to reject the null hypothesis. The p < 0.05 controversy is most acute in clinical research because the regulatory agencies (e.g. U.S. Food and Drug Administration, European Medicines Agency) have traditionally insisted that sponsors (pharmaceutical company, medical device company) submit a frequentist intent-to-treat (analyze all patients as randomized regardless of how they are actually treated post treatment start) efficacy analysis of confirmatory clinical trials (usually Phase III) with the requirement that Type I error for the primary efficacy endpoint treatment comparison be less than 0.05 for marketing approval. We can refer to this analysis as the regulatory analysis because regulatory agencies find this useful in their work. Most often for a given medical product, we will generalize with the term “experimental treatment” herein, the regulatory analysis is the only one that will ever be reported in a journal and this is why many physicians, biostatisticians and other sciences are mounting a pushback for the p < 0.05 requirement.","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"47 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124829940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"New Direction: Mediation Analysis in Perinatal Epidemiological Studies","authors":"Q. Miao","doi":"10.33552/ABBA.2019.03.000573","DOIUrl":"https://doi.org/10.33552/ABBA.2019.03.000573","url":null,"abstract":"In traditional epidemiology, a multivariable regression model is often applied to evaluate the relationship between an exposure and an outcome while adjusting for confounders and taking into account of interactions. In 1992, Robins and Greenland introduced the mediator counterfactual framework concept, which has helped researchers disentangle the complex causal pathway between exposure and outcome. In the past one decade, mediation analysis has been used in various epidemiological studies, including reproductive and perinatal research. This analysis method has been incorporated into various statistical software packages, including the CAUSALMED procedure in SAS, among various others. Mediation analysis is not only used to explain causal relationships between exposure, mediator, interaction and outcome but also provide solid evidence for decision makers to implement policy.","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124847687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Back to Hippocrates? Information-Based Approach to Subjects’ Qualities, their Statistical Estimations, and Evolution","authors":"V. Petrov","doi":"10.33552/abba.2019.03.000570","DOIUrl":"https://doi.org/10.33552/abba.2019.03.000570","url":null,"abstract":"In the framework of the systemic-informational approach, a typology of elements’ behavior was derived, one of its bases being “neural force.” Every element (subject) can be ascribed either to ‘weak’ or ‘strong’ type (or certain intermediate degree). To measure this feature in application to creativity, two sources of empirical data were used, first dealing with 22-parametric description of 40 outstanding painters (of the 15th – 20th centuries), the second with 10 most important parameters of 200 ones. Both sets of primary data were based on calibrated expert estimations (up to 18 art historians). Several methods of information processing resulted in the ‘index of neural force’ of each painter, this index being capable of practical application in cultural studies, as well as in psychological and sociological investigations.","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127109293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Interrelation of Regularities of Differential Rotation of Physical Layers of the Earth’s Mantle and Regularities of Biological and Epidemialogical Zonality","authors":"A. Kharitonov","doi":"10.33552/abba.2019.03.000565","DOIUrl":"https://doi.org/10.33552/abba.2019.03.000565","url":null,"abstract":"It is shown that regularity of differential rotation of physical layers (atmosphere with hydrosphere, thermosphere, biosphere) is inherent in the most part of natural Space objects (planets), generating the magnetic field in the interior. It is shown, how the structure of the magnetic field arising from deep physical non-uniformity of the substance of the mantle and the core influences emergence of biological, atmospheric and hydro-chemical zonal distribution of oceanic regions of Earth.","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125249854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sequential Decomposition Algorithm of Blocking the Selected Edges in the Digraph","authors":"Tsitsiashvili Gurami","doi":"10.33552/abba.2019.03.000564","DOIUrl":"https://doi.org/10.33552/abba.2019.03.000564","url":null,"abstract":"is licensed under Creative Commons Attribution 4.0 License ABBA.MS.ID.000564. Abstract In this paper, a protein network represented by a directed graph is considered. The problem of determining the minimum number of edges that break paths from the input proteins of the network to the output ones and passing through some subset of proteins in this network is analyzing. A sequential decomposition algorithm, basing on a selection of classes of cyclically equivalent nodes in the sub-graphs with dedicated subset of nodes and on a construction of some bipartite graph is suggesting.","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130565179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Patient-Oriented Cohort System to Educate and Encourage Clinical Communications","authors":"Brett M. Harnett","doi":"10.33552/abba.2019.03.000563","DOIUrl":"https://doi.org/10.33552/abba.2019.03.000563","url":null,"abstract":"The patient centered movement must drive a culture change that involves both providers and patients to be fully effective. To better engage the patient side of the equation, patients themselves need data in a format that can be easily digested and understood. Tools such as the Patient Centered Medical Zone could set an example for how to present data that helps to engage patients in their own health and care. Such tools should:","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132929591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Decomposition Algorithms of Blocking the Selected Edges in the Digraph","authors":"Tsitsiashvili Gurami","doi":"10.33552/abba.2019.03.000562","DOIUrl":"https://doi.org/10.33552/abba.2019.03.000562","url":null,"abstract":"Take all nodes from the subset / U and all edges between them. These nodes and edges create directed sub-graph / G G ⊆ . Replace all (directed) edges of the sub-graph / G by undirected ones and obtain undirected graph / / G . Define in the sub-graph / / G all its connectivity components / / / / 1,..., . n G G Return directions to all edges of the subgraph / k G and define in such a way the sub-graph k G of the digraph , 1,..., . G k n =","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117191196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improved Algorithm of Blocking the Selected Edges in the Digraph","authors":"Tsitsiashvili Gurami","doi":"10.33552/abba.2019.03.000561","DOIUrl":"https://doi.org/10.33552/abba.2019.03.000561","url":null,"abstract":"Take all nodes from the subset / U and all edges between them. These nodes and edges create directed sub-graph / . G G ⊂ Replace all (directed) edges of the sub-graph / G G ⊂ by undirected ones and obtain undirected graph / / G . Define in the sub-graph / / G all its connectivity components / / / / 1,..., n G G . Return directions to all edges of the sub-graph / k G and define in such a way the sub-graph k G of the digraph , 1,..., . G k n =","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124231309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Securing E-Library System with Bimodal Biometric Technique","authors":"Afolabi Ao","doi":"10.33552/abba.2019.03.000560","DOIUrl":"https://doi.org/10.33552/abba.2019.03.000560","url":null,"abstract":"The project focuses on securing e-library system with dual biometric features viz: face recognition and fingerprint identification techniques. The results obtained from the research support the set of objectives. The findings indicate that a real time fingerprint and face based authentication security system can be achieved. For the fact that it involves the use of human and biological characteristics, thus some false rejections were recorded during the performance of the system, this occurs mostly in the section of face recognition. This is as a result of the conditions under which the face images were acquired (that is, image background, lightening, distance of face from camera, etc.). The function of the system is based on the ability to match a required fingerprint and face within the database in order to authenticate the user of the facility and therefore grant or refuse access to the electronic library and this was achieved as reported in the paper.","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115312351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}