{"title":"探讨网络结构和医护人员行为对医院获得性感染传播的影响","authors":"S. Barnes, B. Golden, E. Wasil","doi":"10.1080/19488300.2012.736120","DOIUrl":null,"url":null,"abstract":"We investigate the transmission of infectious diseases in hospitals using a network-centric perspective. Patients who share a healthcare worker are inherently connected to each other and those connections form a network through which transmission can occur. The structure of this network can be a strong determinant of the extent and rate of transmission. We explore the effects of healthcare worker behavior, including sharing patients and incorporating the ability for healthcare workers to infect each other. Finally, we examine how patient turnover can affect transmission dynamics in a patient network under the influence of other effects. Our results show that all of these factors can affect transmission significantly, and that this model can be used to provide additional insight to hospital administrators who are looking to improve their ability to control infections.","PeriodicalId":89563,"journal":{"name":"IIE transactions on healthcare systems engineering","volume":"2 1","pages":"259 - 273"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19488300.2012.736120","citationCount":"8","resultStr":"{\"title\":\"Exploring the effects of network structure and healthcare worker behavior on the transmission of hospital-acquired infections\",\"authors\":\"S. Barnes, B. Golden, E. Wasil\",\"doi\":\"10.1080/19488300.2012.736120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We investigate the transmission of infectious diseases in hospitals using a network-centric perspective. Patients who share a healthcare worker are inherently connected to each other and those connections form a network through which transmission can occur. The structure of this network can be a strong determinant of the extent and rate of transmission. We explore the effects of healthcare worker behavior, including sharing patients and incorporating the ability for healthcare workers to infect each other. Finally, we examine how patient turnover can affect transmission dynamics in a patient network under the influence of other effects. Our results show that all of these factors can affect transmission significantly, and that this model can be used to provide additional insight to hospital administrators who are looking to improve their ability to control infections.\",\"PeriodicalId\":89563,\"journal\":{\"name\":\"IIE transactions on healthcare systems engineering\",\"volume\":\"2 1\",\"pages\":\"259 - 273\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/19488300.2012.736120\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IIE transactions on healthcare systems engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/19488300.2012.736120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IIE transactions on healthcare systems engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/19488300.2012.736120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploring the effects of network structure and healthcare worker behavior on the transmission of hospital-acquired infections
We investigate the transmission of infectious diseases in hospitals using a network-centric perspective. Patients who share a healthcare worker are inherently connected to each other and those connections form a network through which transmission can occur. The structure of this network can be a strong determinant of the extent and rate of transmission. We explore the effects of healthcare worker behavior, including sharing patients and incorporating the ability for healthcare workers to infect each other. Finally, we examine how patient turnover can affect transmission dynamics in a patient network under the influence of other effects. Our results show that all of these factors can affect transmission significantly, and that this model can be used to provide additional insight to hospital administrators who are looking to improve their ability to control infections.