A Cross-Platform System Architecture for Form Design and Data Analytics for Public Health

Blake Camp, J. Mandivarapu, Jay Mehta, Nagashayana Ramamurthy, James Wingo, A. Bourgeois, Xiaojun Cao, Rajshekhar Sunderraman
{"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}
引用次数: 1

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
面向公共卫生表单设计和数据分析的跨平台系统架构
流行病学家和公共卫生研究人员广泛使用疾病预防控制中心的Epi-Info来收集和分析公共卫生数据,特别是在爆发疫情的情况下。就目前而言,Epi-Info仅在Windows平台上运行,由不同设备和用例的独立代码库组成。软件可移植性在过去几年中变得越来越重要。在这张海报中,我们展示了Epi-Info的跨平台架构。为了简化和加快未来的开发,跨平台系统架构使用了Electron、AngularJS和Python,并且能够在几乎任何台式机或笔记本电脑上运行。此外,代码可以很容易地部署到Web上,并且有可能成为几个移动用例的可行解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Mapping Free Text into MedDRA by Natural Language Processing: A Modular Approach in Designing and Evaluating Software Extensions Evolving Conformation Paths to Model Protein Structural Transitions Supervised Machine Learning Approaches Predict and Characterize Nanomaterial Exposures: MWCNT Markers in Lung Lavage Fluid. Geometry Analysis for Protein Secondary Structures Matching Problem Geometric Sampling Framework for Exploring Molecular Walker Energetics and Dynamics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1