J. Jannet Vennila, P. Basker, K. Thenmozhi, P. Nithyakala
{"title":"ANALYZING THE IMPACT OF INFLAMMATORY BOWEL DISEASE (IBD) BY USING R-PROGRAMMING","authors":"J. Jannet Vennila, P. Basker, K. Thenmozhi, P. Nithyakala","doi":"10.17654/0973514322009","DOIUrl":"https://doi.org/10.17654/0973514322009","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41981176","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}
Purpose of this paper: In this article we have analyzed the relationship among clinical variables: age, sex, pathological history of interest of the deceased;medicolegal: initial cause of death, immediate cause of death, origin of death and medicolegal etiology of death, and histological or anatomopathological: anthracosis, arteriosclerosis, congestion, fatty degeneration, edema, emphysema, sclerosis, hemorrhage, inflammation, necrosis and other casual or incidental findings from the study of medicolegal autopsies chosen at random from no Covid-19 victims in pandemic times. Design/methodology/approach: For the analysis of the relationships among the different variables, parametric and non-parametric techniques have been used: t-Student, ANOVA, contingency coefficient and Kruskal-Wallis. Findings: The relationship among these variables has been significant (p-value <= 0.05): Sex-age (0.005), Sex-pathological history (0.000), Sex-immediate cause of death (0.037), Pathological history-initial cause of death (0.036), Pathological history-medicolegal etiology (0.043), Initial cause of death-immediate cause of death (0.000) and Initial cause of death-origin of death (0.000), Immediate cause of death-origin of death (0.000). Research limitations/implications: We intend to expand the study in the future.
{"title":"STATISTICAL STUDY OF MEDICOLEGAL AUTOPSIAS","authors":"E. M. Pérez","doi":"10.17654/0973514322006","DOIUrl":"https://doi.org/10.17654/0973514322006","url":null,"abstract":"Purpose of this paper: In this article we have analyzed the relationship among clinical variables: age, sex, pathological history of interest of the deceased;medicolegal: initial cause of death, immediate cause of death, origin of death and medicolegal etiology of death, and histological or anatomopathological: anthracosis, arteriosclerosis, congestion, fatty degeneration, edema, emphysema, sclerosis, hemorrhage, inflammation, necrosis and other casual or incidental findings from the study of medicolegal autopsies chosen at random from no Covid-19 victims in pandemic times. Design/methodology/approach: For the analysis of the relationships among the different variables, parametric and non-parametric techniques have been used: t-Student, ANOVA, contingency coefficient and Kruskal-Wallis. Findings: The relationship among these variables has been significant (p-value <= 0.05): Sex-age (0.005), Sex-pathological history (0.000), Sex-immediate cause of death (0.037), Pathological history-initial cause of death (0.036), Pathological history-medicolegal etiology (0.043), Initial cause of death-immediate cause of death (0.000) and Initial cause of death-origin of death (0.000), Immediate cause of death-origin of death (0.000). Research limitations/implications: We intend to expand the study in the future.","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43855101","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}
Based on the mean basic reproduction number (R-0 = 4.26) for SARS-CoV-2, the global and individual values of the effective reproduction number (R) were determined for the ten leading countries in terms of vaccination against the novel coronavirus infection as of December 16-21, 2021. The calculation of R made it possible to distinguish two clusters of countries for this indicator: (i) in the world as a whole, as well as seven countries (India, USA, Indonesia, Germany, Mexico, Russia, Pakistan) had R > 1, which does not allow us to discuss about the development of herd immunity;(ii) three countries (China, Brazil, Japan) have reached R < 1, which allows us to discuss about the prerequisites for the development of herd immunity. The relationship between the effective reproduction number and the share of population vaccinated is discussed. The herd immunity threshold to SARS-CoV-2 is determined at the level of 76.5%, which is achieved at R-0 = 4.26 and R = 1.
{"title":"EFFECTIVE REPRODUCTION NUMBER AS INDICATOR OF HERD IMMUNITY TO SARS-CoV-2","authors":"A. B. Kiladze","doi":"10.17654/0973514322007","DOIUrl":"https://doi.org/10.17654/0973514322007","url":null,"abstract":"Based on the mean basic reproduction number (R-0 = 4.26) for SARS-CoV-2, the global and individual values of the effective reproduction number (R) were determined for the ten leading countries in terms of vaccination against the novel coronavirus infection as of December 16-21, 2021. The calculation of R made it possible to distinguish two clusters of countries for this indicator: (i) in the world as a whole, as well as seven countries (India, USA, Indonesia, Germany, Mexico, Russia, Pakistan) had R > 1, which does not allow us to discuss about the development of herd immunity;(ii) three countries (China, Brazil, Japan) have reached R < 1, which allows us to discuss about the prerequisites for the development of herd immunity. The relationship between the effective reproduction number and the share of population vaccinated is discussed. The herd immunity threshold to SARS-CoV-2 is determined at the level of 76.5%, which is achieved at R-0 = 4.26 and R = 1.","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43141757","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":"BIOINFORMATICS OF SEXUAL DIMORPHISM OF HISTOENZYMATIC ACTIVITY IN THE SKIN GLANDS OF LABORATORY RATS","authors":"A. B. Kiladze, N. K. Dzhemukhadze","doi":"10.17654/bs018030429","DOIUrl":"https://doi.org/10.17654/bs018030429","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42184454","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":"NON-PARAMETRIC STATISTICAL INFERENCE FOR THE SURVIVAL EXPERIMENTS","authors":"M. Ramadurai, M. A. Basha","doi":"10.17654/bs018030379","DOIUrl":"https://doi.org/10.17654/bs018030379","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":"1 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67835621","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":"COMPARISON OF MIXTURE AND NON-MIXTURE CURE MODELS WITH STANDARD PARAMETRIC DISTRIBUTIONS: APPLICATION TO ORAL CANCER DATA","authors":"T. Bindu, M. Kumaran, T. P. S. Babu","doi":"10.17654/bs018030409","DOIUrl":"https://doi.org/10.17654/bs018030409","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45863531","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}
K. C. Arum, Henrietta Ebele Oranye, T. E. Ugah, Emmanuel Mba
{"title":"STATISTICAL STUDY OF SOME PREVALENT CHILDHOOD DISEASES IN ENUGU STATE, NIGERIA (A CASE STUDY OF PARK LANE HOSPITAL, ENUGU STATE)","authors":"K. C. Arum, Henrietta Ebele Oranye, T. E. Ugah, Emmanuel Mba","doi":"10.17654/bs018030489","DOIUrl":"https://doi.org/10.17654/bs018030489","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48989453","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":"EVALUATION OF THE EFFECTS OF IRRIGATION WITH WASTEWATER ON SOME VEGETATION FEATURES CHARACTERISTIC OF THE CULTIVAR SINGLE CROSS 704 OF FORAGE CORN (MAIZE) IN KHORRAMABAD (CASE STUDY SHAHID RASOULI BIOLOGICAL INDUSTRIES CO.)","authors":"Hooshang Nasiri","doi":"10.17654/bs018030475","DOIUrl":"https://doi.org/10.17654/bs018030475","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42646576","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":"COMPARISON OF PENALIZED REGRESSION METHODS FOR OPTIMIZING THE PARSIMONY FOR CALIBRATION PERFORMANCE OF CLINICAL PREDICTION MODEL IN HIGH-DIMENSIONAL SETTINGS","authors":"Y. Shiko, I. Dan, Y. Kawasaki","doi":"10.17654/bs018030437","DOIUrl":"https://doi.org/10.17654/bs018030437","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46356047","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}
O. Alamri, D. Alnagar, A. T. Abdulrahman, Randa Alharbi
The World Health Organisation lists vaccination hesitancy as the 10th greatest health threat worldwide. Vaccination hesitancy is a phenomenon ranging from an individual's indifference to vehement opposition to any vaccination, and this study explores the risk profiles of a sample of the Saudi population in early 2021 contemplating their COVID-19 (Coronavirus disease of 2019) vaccination decisions. In May 2021, Saudi government policy mandated vaccination for individuals to engage in many public activities, which may change the population's risk profile. This research identified vaccination acceptance factors for the COVID-19 phenomenon in early 2021 whilst vaccines were new and untried on populations. Using an internally valid measure supported by explanatory factor analysis, it was found that a high proportion of the Saudi population (88%) intended to be vaccinated against the coronavirus. Significant factors included education, chronic disease, and peer influences. The results could assist the Ministry of Health in vaccine logistics and assist with targeting at-risk groups to encourage further vaccination against the coronavirus.
{"title":"THE RATE OF SAUDI SOCIETY’S ACCEPTANCE OF THE COVID 19 VACCINATIONS: MULTIVARIATE ANALYSIS","authors":"O. Alamri, D. Alnagar, A. T. Abdulrahman, Randa Alharbi","doi":"10.17654/jb018030337","DOIUrl":"https://doi.org/10.17654/jb018030337","url":null,"abstract":"The World Health Organisation lists vaccination hesitancy as the 10th greatest health threat worldwide. Vaccination hesitancy is a phenomenon ranging from an individual's indifference to vehement opposition to any vaccination, and this study explores the risk profiles of a sample of the Saudi population in early 2021 contemplating their COVID-19 (Coronavirus disease of 2019) vaccination decisions. In May 2021, Saudi government policy mandated vaccination for individuals to engage in many public activities, which may change the population's risk profile. This research identified vaccination acceptance factors for the COVID-19 phenomenon in early 2021 whilst vaccines were new and untried on populations. Using an internally valid measure supported by explanatory factor analysis, it was found that a high proportion of the Saudi population (88%) intended to be vaccinated against the coronavirus. Significant factors included education, chronic disease, and peer influences. The results could assist the Ministry of Health in vaccine logistics and assist with targeting at-risk groups to encourage further vaccination against the coronavirus.","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2021-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44632598","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}
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