HealthGIS '12最新文献

{"title":"Outside the continental United States international travel and contagion impact quick look tool","authors":"Courtney Corley, Mary J. Lancaster, R. Brigantic, Brenda Kunkel, George A. Muller, Taylor McKenzie","doi":"10.1145/2452516.2452533","DOIUrl":"https://doi.org/10.1145/2452516.2452533","url":null,"abstract":"This paper describes a tool that will allow public health analysts to estimate infectious disease risk at the country level as a function of different international transportation modes. The prototype focuses on a cholera epidemic originating within Latin America or the Caribbean, but it can be expanded to consider other pathogens as well. This effort leverages previous work in collaboration with the Centers for Disease Control and Prevention to develop the International Travel to Community Impact (IT-CI) model, which analyzes and assesses potential international disease outbreaks then estimates the associated impacts to U.S. communities and the nation as a whole and orient it for use Outside the Continental United States (OCONUS). For brevity, we refer to this refined model as OIT-CI. First, we developed an operationalized meta-population spatial cholera model for Latin America and the Caribbean at the secondary administrative-level boundary. Secondly, we developed a robust function of human airline critical to approximating mixing patterns in the meta-population model. In the prototype version currently presented here, OIT-CI models a cholera epidemic originating in a Latin American or Caribbean country and spreading via airline transportation routes. Disease spread is modeled at the country level using a patch model with a connectivity function based on demographic, geospatial, and human transportation data. We have also identified data to estimate the water and health-related infrastructure capabilities of each country to include this potential impact on disease transmission. OIT-CI utilizes these data and modeling constructs to estimate the cholera risk, as a function of attack rate, for each country consistent [1]. This estimation will be completed by providing an order of magnitude risk estimate (e.g., 1 percent, 10 percent, 50 percent, 100 percent) for a cholera outbreak originating within and spreading to Latin American and Caribbean countries at secondary level boundaries (i.e., states or administrative districts). To create a product that is both useful and desirable, feedback from end users of OIT-CI will be incorporated into the model software and visualization design.","PeriodicalId":168309,"journal":{"name":"HealthGIS '12","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131480607","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":"The role of location for family reunification during disasters","authors":"Glenn Pearson, M. Gill, Sameer Kiran Antani, Leif Neve, Gregory Miernicki, Krittach Phichaphop, Ajay Kanduru, Stefan Jaeger, G. Thoma","doi":"10.1145/2452516.2452519","DOIUrl":"https://doi.org/10.1145/2452516.2452519","url":null,"abstract":"After large-scale disasters, displaced or injured people can lose contact with their family and friends. In an effort to mitigate the effects of these events, the US National Library of Medicine has developed People Locator, a Web-based system that allows family members to search for missing persons. The purpose of this paper is to describe the role of location in family reunification systems, in particular in People Locator, and the data input technologies that support it.","PeriodicalId":168309,"journal":{"name":"HealthGIS '12","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131919779","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":"The picture of health: map-based, collaborative spatio-temporal disease tracking","authors":"Rongjian Lan, Michael D. Lieberman, H. Samet","doi":"10.1145/2452516.2452522","DOIUrl":"https://doi.org/10.1145/2452516.2452522","url":null,"abstract":"Disease outbreaks are intimately tied to geographic locations and to times, and as a result, health-related GIS along with open, Web-based data sources are increasingly crucial for public health. One such data source, ProMED-mail, offers disease reports distributed as email postings, along with locations and times of relevance. Locations are specified in text rather than in geometry, which necessitates a method for mapping textual locations to their spatial representations, called geotagging. To address this need, the previously-developed STEWARD system is leveraged for disease detection and tracking by geotagging ProMED-mail postings. While STEWARD was previously used in a disease tracking role, improvements to STEWARD are described including an innovative time slider that allows powerful and intuitive spatio-textual querying. Many additional future improvements for STEWARD and related systems are also discussed.","PeriodicalId":168309,"journal":{"name":"HealthGIS '12","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114787931","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}