{"title":"PITTSBURGH SLEEP QUALITY INDEX: EXPLORING QUALITY OF SLEEP AMONG OMANI OLDER ADULTS","authors":"S. Musharrafi, P. Ramaiah","doi":"10.17654/0973514323007","DOIUrl":"https://doi.org/10.17654/0973514323007","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2023-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47766496","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}
Elena Martín Pérez, Jacobo Salvat Dávila, Q. Martin
{"title":"STUDY OF THE CLASSIFICATION OF THE “NOT” CATEGORY ON INFORMED CONSENT THROUGH ARTIFICIAL NEURAL NETWORKS","authors":"Elena Martín Pérez, Jacobo Salvat Dávila, Q. Martin","doi":"10.17654/0973514323006","DOIUrl":"https://doi.org/10.17654/0973514323006","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47116198","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":"ON THE STATISTICAL SIGNIFICANCE OF PAIRWISE GLOBAL ALIGNMENTS OF NUCLEOTIDE SEQUENCES","authors":"Rajashree Chaurasia, Udayan Ghose","doi":"10.17654/0973514323004","DOIUrl":"https://doi.org/10.17654/0973514323004","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44380776","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}
Jian-Jian Ren, Yiming Lyu, Chen Qian, Yuyin Shi, Charles Zhao
The exponential model is a commonly used epidemic model for the analysis of initial outbreak data due to an infectious disease. But there have been questions about its validity in practice. This article examines this issue through statistical analysis on 22 countries' initial COVID-19 outbreak data provided by the World Health Organization. For each of 22 countries, a general regression analysis is conducted for the cumulative confirmed cases. Our regression function is a 3-5 piecewise fitted functions which are obtained via regression analysis
{"title":"A STATISTICAL ANALYSIS OF THE COVID-19 OUTBREAK DATA","authors":"Jian-Jian Ren, Yiming Lyu, Chen Qian, Yuyin Shi, Charles Zhao","doi":"10.17654/0973514323005","DOIUrl":"https://doi.org/10.17654/0973514323005","url":null,"abstract":"The exponential model is a commonly used epidemic model for the analysis of initial outbreak data due to an infectious disease. But there have been questions about its validity in practice. This article examines this issue through statistical analysis on 22 countries' initial COVID-19 outbreak data provided by the World Health Organization. For each of 22 countries, a general regression analysis is conducted for the cumulative confirmed cases. Our regression function is a 3-5 piecewise fitted functions which are obtained via regression analysis","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49059084","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":"PREDICTION OF CONCENTRATIONS OF BACTERIA INDICATIVE OF FECAL POLLUTION OF THE WATER TABLE OF THE VILLAGE M’PODY OF THE RIDING OF ANYAMA","authors":"Meless Djedjro Franck-Renaud","doi":"10.17654/0973514323003","DOIUrl":"https://doi.org/10.17654/0973514323003","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2023-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46571027","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}
Present study focuses on the attitudes/perceptions regarding negative attitudes, hesitancy (uncertainty, unwillingness) and anxiety towards COVID-19 within the Saudian context. A cross-sectional web-based study uses convenience sampling technique for data collection through self-administrated validated questionnaire translated in Arabic language. Outcomes of the study revealed that more than 3/4th (80%) of respondents expressed intermediate to high levels of negative attitude towards vaccines, in general. The most common reasons for vaccine hesitancy were the concerns about the vaccine's possible side effects, not taking it as a serious infection, and its efficacy in preventing the infection. Regarding anxiety towards coronavirus, it was found to be quite low. Decision tree analysis was used to assess the relationship between hesitancy and demographic characteristics of the respondents. Findings of the study pinpoint specific areas, on which to focus on, for the health care administrators in case of resurgence of the pandemic. The health administrators may incorporate the suggestions of the present study when framing their future policies for enhancing confidence and alleviating fears of the populace at large to receive COVID-19 vaccination.
{"title":"HESITANCY viz-a-viz COVID-19 VACCINE: A CASE STUDY OF SAUDI ARABIA","authors":"A. Almarashi, K. Khan","doi":"10.17654/0973514323002","DOIUrl":"https://doi.org/10.17654/0973514323002","url":null,"abstract":"Present study focuses on the attitudes/perceptions regarding negative attitudes, hesitancy (uncertainty, unwillingness) and anxiety towards COVID-19 within the Saudian context. A cross-sectional web-based study uses convenience sampling technique for data collection through self-administrated validated questionnaire translated in Arabic language. Outcomes of the study revealed that more than 3/4th (80%) of respondents expressed intermediate to high levels of negative attitude towards vaccines, in general. The most common reasons for vaccine hesitancy were the concerns about the vaccine's possible side effects, not taking it as a serious infection, and its efficacy in preventing the infection. Regarding anxiety towards coronavirus, it was found to be quite low. Decision tree analysis was used to assess the relationship between hesitancy and demographic characteristics of the respondents. Findings of the study pinpoint specific areas, on which to focus on, for the health care administrators in case of resurgence of the pandemic. The health administrators may incorporate the suggestions of the present study when framing their future policies for enhancing confidence and alleviating fears of the populace at large to receive COVID-19 vaccination.","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2023-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44672426","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}
Vaccination against COVID-19 is designed to provide herd immunity. However, there are cases of SARS-CoV-2 infection after vaccination. Using Python software, we calculated the number of SARS-CoV-2 infections per 100,000 adults after the first and second vaccinations as at July 23, 2021, conducted in St. Petersburg, Russian Federation. After the first vaccination with Gam-COVID-Vac (Sputnik V) vaccine, 544 infections were determined, and after the second vaccination -1,643 cases. After the first vaccination with the EpiVacCorona vaccine, 1,600 infections were calculated, and after the second vaccination -6,073 cases. After the first vaccination with CoviVac vaccine, 1,162 infections were determined, and after the second vaccination -886 cases. Cluster analysis revealed the similarity of epidemiological indicators due to Gam-COVID-Vac and CoviVac vaccines, with EpiVacCorona vaccine isolated in a separate cluster, which is associated with significant differences in the calculated epidemiological parameters.
{"title":"CLUSTERING OF COVID-19 VACCINES BY SARS-CoV-2 INFECTION LEVEL AFTER TWO VACCINATIONS","authors":"A. B. Kiladze","doi":"10.17654/0973514323001","DOIUrl":"https://doi.org/10.17654/0973514323001","url":null,"abstract":"Vaccination against COVID-19 is designed to provide herd immunity. However, there are cases of SARS-CoV-2 infection after vaccination. Using Python software, we calculated the number of SARS-CoV-2 infections per 100,000 adults after the first and second vaccinations as at July 23, 2021, conducted in St. Petersburg, Russian Federation. After the first vaccination with Gam-COVID-Vac (Sputnik V) vaccine, 544 infections were determined, and after the second vaccination -1,643 cases. After the first vaccination with the EpiVacCorona vaccine, 1,600 infections were calculated, and after the second vaccination -6,073 cases. After the first vaccination with CoviVac vaccine, 1,162 infections were determined, and after the second vaccination -886 cases. Cluster analysis revealed the similarity of epidemiological indicators due to Gam-COVID-Vac and CoviVac vaccines, with EpiVacCorona vaccine isolated in a separate cluster, which is associated with significant differences in the calculated epidemiological parameters.","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43650958","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":"APPLICATIONS OF STATISTICAL TECHNIQUES IN CARDIOVASCULAR DISEASE RISK ESTIMATION FOR INDIAN POPULATION: A SYSTEMATIC REVIEW","authors":"Abha Marathe, Virendra Shete, D. Upasani","doi":"10.17654/0973514322029","DOIUrl":"https://doi.org/10.17654/0973514322029","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49646217","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":"PATIENTS SATISFACTION WITH OPD SERVICES: A CASE STUDY OF SAUDI ARABIA","authors":"A. Almarashi, K. Khan","doi":"10.17654/0973514322028","DOIUrl":"https://doi.org/10.17654/0973514322028","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48906312","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":"PARAMETRIC REGRESSION MODELING OF COMPETING RISK USING CARDIOVASCULAR DISEASE PATIENT’S SURVIVAL DATA","authors":"G. Jayakodi, N. Sundaram, P. Venkatesan","doi":"10.17654/0973514322027","DOIUrl":"https://doi.org/10.17654/0973514322027","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48808251","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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