Lessons Learned About Public Health from Online Crowd Surveillance-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Lessons Learned About Public Health from Online Crowd Surveillance

Published:2013-09 Issue:3 Volume:1 Page:160-167
ISSN:2167-6461
Container-title:Big Data
language:en
Short-container-title:Big Data

Author:

Hill Shawndra¹,Merchant Raina²,Ungar Lyle³

Affiliation:

1. Operations and Information Management Department, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania.

2. Department of Emergency Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

3. Department of Computer and Information Science, University of Pennsylvania, Philadelphia, Pennsylvania.

Publisher

Mary Ann Liebert Inc

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

http://www.liebertpub.com/doi/pdf/10.1089/big.2013.0020

Reference54 articles.

1. Digital Disease Detection — Harnessing the Web for Public Health Surveillance

2. Putting the Public Back in Public Reporting of Health Care Quality

3. OMG U got flu? Analysis of shared health messages for bio-surveillance

4. Decoding twitter: Surveillance and trends for cardiac arrest and resuscitation communication

5. “5 Mins of Uncomfyness Is Better than Dealing with Cancer 4 a Lifetime”: an Exploratory Qualitative Analysis of Cervical and Breast Cancer Screening Dialogue on Twitter

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Algorithm Development and Validation;JMIR Formative Research;2022-12-19

2. Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries (Preprint);2022-03-30

3. Computational and Data Mining Perspectives on HIV/AIDS in Big Data Era;Research Anthology on Big Data Analytics, Architectures, and Applications;2022

4. Assessing Canadians Health Activity and Nutritional Habits Through Social Media;Frontiers in Public Health;2020-01-14

5. Using online data to track outbreaks and understand public responses during a pandemic: A rapid evidence review (Preprint);2019-03-13

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3