Blake Camp, J. Mandivarapu, Jay Mehta, Nagashayana Ramamurthy, James Wingo, A. Bourgeois, Xiaojun Cao, Rajshekhar Sunderraman
{"title":"面向公共卫生表单设计和数据分析的跨平台系统架构","authors":"Blake Camp, J. Mandivarapu, Jay Mehta, Nagashayana Ramamurthy, James Wingo, A. Bourgeois, Xiaojun Cao, Rajshekhar Sunderraman","doi":"10.1145/3107411.3108223","DOIUrl":null,"url":null,"abstract":"The CDC's Epi-Info is widely-used by epidemiologists and public health researchers to collect and analyze public health data, especially in the event of outbreaks. As it exists today, Epi-Info runs only on the Windows platform and is made of separate code-bases for several different devices and use-cases. Software portability has become increasingly important over the past few years. In this poster, we present a cross-platform architecture for Epi-Info. To simplify and expedite future development, the cross-platform system architecture uses Electron, AngularJS, and Python with the capability of running on virtually any desktop or laptop computer. Additionally, the code can be easily deployed to the Web, and has the potential to be a viable solution for several mobile use-cases.","PeriodicalId":246388,"journal":{"name":"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Cross-Platform System Architecture for Form Design and Data Analytics for Public Health\",\"authors\":\"Blake Camp, J. Mandivarapu, Jay Mehta, Nagashayana Ramamurthy, James Wingo, A. Bourgeois, Xiaojun Cao, Rajshekhar Sunderraman\",\"doi\":\"10.1145/3107411.3108223\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The CDC's Epi-Info is widely-used by epidemiologists and public health researchers to collect and analyze public health data, especially in the event of outbreaks. As it exists today, Epi-Info runs only on the Windows platform and is made of separate code-bases for several different devices and use-cases. Software portability has become increasingly important over the past few years. In this poster, we present a cross-platform architecture for Epi-Info. To simplify and expedite future development, the cross-platform system architecture uses Electron, AngularJS, and Python with the capability of running on virtually any desktop or laptop computer. Additionally, the code can be easily deployed to the Web, and has the potential to be a viable solution for several mobile use-cases.\",\"PeriodicalId\":246388,\"journal\":{\"name\":\"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3107411.3108223\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3107411.3108223","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Cross-Platform System Architecture for Form Design and Data Analytics for Public Health
The CDC's Epi-Info is widely-used by epidemiologists and public health researchers to collect and analyze public health data, especially in the event of outbreaks. As it exists today, Epi-Info runs only on the Windows platform and is made of separate code-bases for several different devices and use-cases. Software portability has become increasingly important over the past few years. In this poster, we present a cross-platform architecture for Epi-Info. To simplify and expedite future development, the cross-platform system architecture uses Electron, AngularJS, and Python with the capability of running on virtually any desktop or laptop computer. Additionally, the code can be easily deployed to the Web, and has the potential to be a viable solution for several mobile use-cases.