{"title":"马来西亚Bah聚集性COVID-19病例生存分析","authors":"Nazrina Aziz, N. Zainalabidin, Nor Jannih Saukani, Kaveen Dameon Mahendran, Nurshahirah Samihah Shamsudinan","doi":"10.1063/5.0092650","DOIUrl":null,"url":null,"abstract":"In 2019, SARS-CoV-2, a newly detected coronavirus, has shocked the world. The virus is affecting the human respiratory system. This disease has been called COVID-19 by the World Health Organization. The outbreak originated from Wuhan City, Hubei Province, China, that emerge in December 2019. By March 2020, the disease had spread to nations around the world. The Bah cluster is one of the COVID-19 cases clusters in Malaysia. The purpose of this study is to perform a survival analysis in order to determine the regional and cluster-based variability in survivorship of Bah cluster. The time frame for this analysis is 13 weeks started from 1st October to 30th December 2020. Kaplan Meier Estimator and K-Log rank test were used in this study. According to region, Labuan shows the lowest regional survival rate and the K-Log rank test result indicates that there is a significant difference in regional survival curves. For Bah cluster, Bah Manggis has the lowest survival rate for cluster-based survival. K-Log-rank also indicates that there are significant differences in cluster-based survival curves. SMR was calculated to estimate the relative risk of the Bah cluster in Malaysia. Later, disease mapping has been developed based on SMR value to visualize and differentiate between high and low-risk among region in Bah cluster. © 2022 Author(s).","PeriodicalId":427046,"journal":{"name":"The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A survival analysis of COVID-19 cases for Bah cluster in Malaysia\",\"authors\":\"Nazrina Aziz, N. Zainalabidin, Nor Jannih Saukani, Kaveen Dameon Mahendran, Nurshahirah Samihah Shamsudinan\",\"doi\":\"10.1063/5.0092650\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In 2019, SARS-CoV-2, a newly detected coronavirus, has shocked the world. The virus is affecting the human respiratory system. This disease has been called COVID-19 by the World Health Organization. The outbreak originated from Wuhan City, Hubei Province, China, that emerge in December 2019. By March 2020, the disease had spread to nations around the world. The Bah cluster is one of the COVID-19 cases clusters in Malaysia. The purpose of this study is to perform a survival analysis in order to determine the regional and cluster-based variability in survivorship of Bah cluster. The time frame for this analysis is 13 weeks started from 1st October to 30th December 2020. Kaplan Meier Estimator and K-Log rank test were used in this study. According to region, Labuan shows the lowest regional survival rate and the K-Log rank test result indicates that there is a significant difference in regional survival curves. For Bah cluster, Bah Manggis has the lowest survival rate for cluster-based survival. K-Log-rank also indicates that there are significant differences in cluster-based survival curves. SMR was calculated to estimate the relative risk of the Bah cluster in Malaysia. Later, disease mapping has been developed based on SMR value to visualize and differentiate between high and low-risk among region in Bah cluster. © 2022 Author(s).\",\"PeriodicalId\":427046,\"journal\":{\"name\":\"The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1063/5.0092650\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1063/5.0092650","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
A survival analysis of COVID-19 cases for Bah cluster in Malaysia
In 2019, SARS-CoV-2, a newly detected coronavirus, has shocked the world. The virus is affecting the human respiratory system. This disease has been called COVID-19 by the World Health Organization. The outbreak originated from Wuhan City, Hubei Province, China, that emerge in December 2019. By March 2020, the disease had spread to nations around the world. The Bah cluster is one of the COVID-19 cases clusters in Malaysia. The purpose of this study is to perform a survival analysis in order to determine the regional and cluster-based variability in survivorship of Bah cluster. The time frame for this analysis is 13 weeks started from 1st October to 30th December 2020. Kaplan Meier Estimator and K-Log rank test were used in this study. According to region, Labuan shows the lowest regional survival rate and the K-Log rank test result indicates that there is a significant difference in regional survival curves. For Bah cluster, Bah Manggis has the lowest survival rate for cluster-based survival. K-Log-rank also indicates that there are significant differences in cluster-based survival curves. SMR was calculated to estimate the relative risk of the Bah cluster in Malaysia. Later, disease mapping has been developed based on SMR value to visualize and differentiate between high and low-risk among region in Bah cluster. © 2022 Author(s).