Disease surveillance based on Internet-based linear models: an Australian case study of previously unmodeled infection diseases
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/srep38522.pdf
Reference45 articles.
1. O'Connell, E. K., Zhang, G. Y., Leguen, F., Llau, A. & Rico, E. Innovative Uses for Syndromic Surveillance. Emerg Infect Dis 16, 669–671, doi: 10.3201/eid1604.090688 (2010).
2. Cheng, C. K. et al. A profile of the online dissemination of national influenza surveillance data. BMC public health 9, 339, doi: 10.1186/1471-2458-9-339 (2009).
3. Madoff, L. C., Fisman, D. N. & Kass-Hout, T. A new approach to monitoring dengue activity. PLoS neglected tropical diseases 5, e1215, doi: 10.1371/journal.pntd.0001215 (2011).
4. Doyle, T. J., Glynn, M. K. & Groseclose, S. L. Completeness of notifiable infectious disease reporting in the United States: an analytical literature review. Am J Epidemiol 155, 866–874 (2002).
5. Wilson, K. & Brownstein, J. S. Early detection of disease outbreaks using the Internet. Canadian Medical Association Journal 180, 829–831, doi: 10.1503/cmaj.090215 (2009).
Cited by 19 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. Internet-based Surveillance Systems and Infectious Diseases Prediction: An Updated Review of the Last 10 Years and Lessons from the COVID-19 Pandemic;Journal of Epidemiology and Global Health;2024-08-14
2. Real-Time Monitoring of Infectious Disease Outbreaks with a Combination of Google Trends Search Results and the Moving Epidemic Method: A Respiratory Syncytial Virus Case Study;Tropical Medicine and Infectious Disease;2023-01-19
3. Influenza surveillance systems using traditional and alternative sources of data: A scoping review;Influenza and Other Respiratory Viruses;2022-09-08
4. A Survey to Reduce STDs Infection in Mongolia and Big Data Virtualization Propagation;Electronics;2021-12-13
5. Application of Deep Learning Techniques for COVID-19 Management;Understanding COVID-19: The Role of Computational Intelligence;2021-07-28
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