COVID-19 is the biggest threat to the life of humankind around the globe. Vaccination became an important protective system against COVID-19 infection. The geographical aspect is an important factor in infection spreading. This study explores the effect of the vaccination on COVID-19 in India using the estimate of the spatial effects. Since the distribution of vaccination started in the middle of study period, time-interrupted spatial panel models were used. SDM model was selected as the best one. The spatial effect coefficients are statistically significant in SDM models (rho = 0.4057;p < 0.01 , rho = 0.3132;p < 0.01) and the spillover effect of second dose vaccination rate is statistically significant on both confirmed rate and deceased rate. The vaccination has a significant negative impact on deceased rate. There is a clear evidence for the requirement of second dose vaccination
{"title":"UNDERSTANDING THE IMPACT OF VACCINATION ON COVID-19 IN INDIA USING TIME INTERRUPTED SPATIAL PANEL DATA MODELS","authors":"J. P. Antony, T. Prabakaran","doi":"10.17654/0973514322026","DOIUrl":"https://doi.org/10.17654/0973514322026","url":null,"abstract":"COVID-19 is the biggest threat to the life of humankind around the globe. Vaccination became an important protective system against COVID-19 infection. The geographical aspect is an important factor in infection spreading. This study explores the effect of the vaccination on COVID-19 in India using the estimate of the spatial effects. Since the distribution of vaccination started in the middle of study period, time-interrupted spatial panel models were used. SDM model was selected as the best one. The spatial effect coefficients are statistically significant in SDM models (rho = 0.4057;p < 0.01 , rho = 0.3132;p < 0.01) and the spillover effect of second dose vaccination rate is statistically significant on both confirmed rate and deceased rate. The vaccination has a significant negative impact on deceased rate. There is a clear evidence for the requirement of second dose vaccination","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":"41981668","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":"MODELING AGE SPECIFIC FERTILITY RATES OF PAKISTAN WITH HADWIGER FUNCTION MODEL","authors":"H. Waseem, Farah Yasmeen","doi":"10.17654/0973514322025","DOIUrl":"https://doi.org/10.17654/0973514322025","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42452087","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}
In Covid-19 pandemic, countries have developed various policies to get over this period with minimum damage. These policies have been updated and are still being updated at each stage of the pandemic to maximize benefit to the society. Vaccination policies of countries have become crucial after vaccine was developed. Some inequalities such as opportunity of developed countries and inability of other countries to access vaccine and anti-vaccination are considerable hinders to prevent spread of the pandemic. We used Covid-19 data to cluster European Union Countries, Candidate Countries and Potential Candidate Countries. At the first stage of the study, optimum algorithm was determined with use of internal and stability validation indexes for clustering of countries. At the second stage of the study, model algorithm was applied and it was determined that there are 20 countries in the first cluster and 14 countries in the second cluster. In conclusion of the study, cluster-based variables analysis shows that deaths and positive rate are lower since vaccination rate is high no matter how high is the number of new cases and the reproduction rate.
{"title":"APPLICATION OF MODEL-BASED CLUSTERING ALGORITHM TO COVID-19 VACCINE DATA","authors":"Seda Bağdatlı Kalkan, Ö. Başar","doi":"10.17654/0973514322024","DOIUrl":"https://doi.org/10.17654/0973514322024","url":null,"abstract":"In Covid-19 pandemic, countries have developed various policies to get over this period with minimum damage. These policies have been updated and are still being updated at each stage of the pandemic to maximize benefit to the society. Vaccination policies of countries have become crucial after vaccine was developed. Some inequalities such as opportunity of developed countries and inability of other countries to access vaccine and anti-vaccination are considerable hinders to prevent spread of the pandemic. We used Covid-19 data to cluster European Union Countries, Candidate Countries and Potential Candidate Countries. At the first stage of the study, optimum algorithm was determined with use of internal and stability validation indexes for clustering of countries. At the second stage of the study, model algorithm was applied and it was determined that there are 20 countries in the first cluster and 14 countries in the second cluster. In conclusion of the study, cluster-based variables analysis shows that deaths and positive rate are lower since vaccination rate is high no matter how high is the number of new cases and the reproduction rate.","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45207411","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":"IMPACT OF GEOLOGICAL FACTOR ON CATARACT EYE DISEASE USING COM-POISSON REGRESSION MODEL","authors":"Vyasa Rao Prasanna, S. A. Ahmed","doi":"10.17654/0973514322023","DOIUrl":"https://doi.org/10.17654/0973514322023","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49212243","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}
H. Okagbue, T. Olawande, O. A. Odetunmibi, A. Opanuga
{"title":"MEAN AGE OF MENARCHE AND THE PROBABILITY OF ATTAINING MENARCHE FOR NIGERIAN GIRLS","authors":"H. Okagbue, T. Olawande, O. A. Odetunmibi, A. Opanuga","doi":"10.17654/0973514322022","DOIUrl":"https://doi.org/10.17654/0973514322022","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43851396","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":"SPATIAL BAYESIAN ESTIMATION OF HIV INFECTION AMONG FEMALE SEX WORKERS (FSW) IN INDIA","authors":"A. Elangovan","doi":"10.17654/0973514322020","DOIUrl":"https://doi.org/10.17654/0973514322020","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46829930","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":"COM-POISSON CURE RATE MODEL WITH GENERALIZED EXPONENTIAL LIFETIMES UNDER INTERVAL-CENSORING: AN EM-BASED APPROACH","authors":"Janani Amirtharaj, G. Vijayasree","doi":"10.17654/0973514322019","DOIUrl":"https://doi.org/10.17654/0973514322019","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":"31 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41261878","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":"A MULTISTATE MARKOV MODEL DESCRIBING THE PROGRESSION OF VARIOUS DETERIORATING STAGES OF CHRONIC KIDNEY DISEASE","authors":"Meenaxi, Dalip Singh","doi":"10.17654/0973514322018","DOIUrl":"https://doi.org/10.17654/0973514322018","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":"133 1","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67808042","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":"ASSESSMENT AND DETERMINANT OF THE FACTORS RELATED TO PSYCHOLOGICAL DISTRESS, FEAR, AND COPING STRATEGIES DURING COVID-19 PANDEMIC AMONG STUDENTS IN HOTAT BANI TAMIM","authors":"A. Abdallah, Mohammed Omar Musa Mohammed","doi":"10.17654/0973514322016","DOIUrl":"https://doi.org/10.17654/0973514322016","url":null,"abstract":"","PeriodicalId":40703,"journal":{"name":"JP Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":0.1,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41979781","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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