{"title":"马尔可夫骨架过程在传染病管理模型中的应用","authors":"Yongwei Zhou, Ziqiang Li","doi":"10.1109/AIMSEC.2011.6010975","DOIUrl":null,"url":null,"abstract":"This paper is devoted to studying the infectious disease management model by using the theory of Markov skeleton process by Zhengting Hou etc, and draw the conclusion that the number of infection at any time in the future is a minimum nonnegative solution of a nonnegative linear equation, so we can forecast the number of infection in an area at any time in the future, a case study has proved the effectiveness of the method.","PeriodicalId":214011,"journal":{"name":"2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The application of Markov skeleton process on the infectious disease management model\",\"authors\":\"Yongwei Zhou, Ziqiang Li\",\"doi\":\"10.1109/AIMSEC.2011.6010975\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is devoted to studying the infectious disease management model by using the theory of Markov skeleton process by Zhengting Hou etc, and draw the conclusion that the number of infection at any time in the future is a minimum nonnegative solution of a nonnegative linear equation, so we can forecast the number of infection in an area at any time in the future, a case study has proved the effectiveness of the method.\",\"PeriodicalId\":214011,\"journal\":{\"name\":\"2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIMSEC.2011.6010975\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIMSEC.2011.6010975","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The application of Markov skeleton process on the infectious disease management model
This paper is devoted to studying the infectious disease management model by using the theory of Markov skeleton process by Zhengting Hou etc, and draw the conclusion that the number of infection at any time in the future is a minimum nonnegative solution of a nonnegative linear equation, so we can forecast the number of infection in an area at any time in the future, a case study has proved the effectiveness of the method.