epiLinks is a social media tool for the Infection Prevention community. epiLinks was developed in
collaboration between Clean Sweep Group, Inc. (CSGI) and the California APIC communications team.

Clean Sweep Group, Inc. (CSGI) and California APIC do not endorse any content or views expressed on epiLinks. See ‘Methods’ and ‘Privacy Policy’ below for more information.

IMPORTANT: Let’s improve epiLinks for other Infection Preventionists! Please take this quick survey and tell us your thoughts!


Contributors
Cody Haag, BA. VP of R&D, Clean Sweep Group, Inc. (CSGI)
Daniel Field, RN, CIC. Communications Chair, California APIC
Angela Vassallo, MPH, MS, CIC, FAPIC. Vice-Chair, APIC Communications


         


Methods

Step 1) Twitter tweets retrieved from Twitter API using page-related search terms.
Step 2) Twitter tweets sorted into topics. More information on statistical methods and data processing for topic analysis found at Blei et al. & Haag et al.
Step 3) Twitter hashtags tallied per topic.
Step 4) ‘Topical Literature’ retrieved from Crossref repository using topic keywords.
Step 5) HTML document generated with R Markdown and flexdashboard.


Privacy Policy

This page informs you of our policies regarding the collection, use and disclosure of Personal Information we receive from users of epiLinks. By using epiLinks, you agree to the collection and use of information in accordance with this policy.

Information Collection And Use.

If you complete the epiLinks Improvement Survey, we may ask you to provide us with certain personally identifiable information that can be used to contact you. Personally identifiable information may include, but is not limited to your email address (“Personal Information”). Personal Information is not shared with any third parties.

Like many site operators, we collect information that your browser sends whenever you visit epiLinks (“Log Data”). This Log Data may include information such as your computer’s Internet Protocol (“IP”) address, browser type, browser version, the pages of epiLinks that you visit, the time and date of your visit, the time spent on those pages and other statistics. With exception to Google Analytics as described below, Log Data is not shared with other third parties.

Google Analytics.

Google Analytics collects information such as how often users visit this site, what pages they visit when they do so, and what other sites they used prior to coming to this site. We use the information we get from Google Analytics only to improve this site. Google Analytics collects only the IP address assigned to you on the date you visit this site, rather than your name or other identifying information. We do not combine the information collected through the use of Google Analytics with personally identifiable information. Although Google Analytics plants a permanent cookie on your web browser to identify you as a unique user the next time you visit this site, the cookie cannot be used by anyone but Google. Google’ Analytics’s ability to use and share information collected by Google Analytics about your visits to this site is restricted by the Google Analytics Terms of Use and the Google Privacy Policy. You can prevent Google Analytics from recognizing you on return visits to this site by disabling cookies on your browser.


References

Michael W. Kearney (2017). rtweet: Collecting Twitter Data. R package version 0.4.8. https://cran.r-project.org/package=rtweet

Grün B and Hornik K (2011). “topicmodels: An R Package for Fitting Topic Models.” Journal of Statistical Software, 40(13), pp. 1-30. http://doi.org/10.18637/jss.v040.i13.

Ingo Feinerer and Kurt Hornik (2015). tm: Text Mining Package. R package version 0.6-2. http://CRAN.R-project.org/package=tm

Max Gordon. htmlTable: Advanced Tables for Markdown/HTML. R package version 1.9. https://CRAN.R-project.org/package=htmlTable

Yihui Xie (2015). DT: A Wrapper of the JavaScript Library ‘DataTables’. R package version 0.1. http://CRAN.R-project.org/package=DT

Scott Chamberlain, Carl Boettiger, Ted Hart and Karthik Ram (2016). rcrossref: Client for Various ‘CrossRef’ APIs. R package version 0.6.0. http://CRAN.R-project.org/package=rcrossref

JJ Allaire, Joe Cheng, Yihui Xie, Jonathan McPherson, Winston Chang, Jeff Allen, Hadley Wickham, Aron Atkins and Rob Hyndman (2016). rmarkdown: Dynamic Documents for R. R package version 0.9.5. http://CRAN.R-project.org/package=rmarkdown

JJ Allaire (2017). flexdashboard: R Markdown Format for Flexible Dashboards. R package version 0.5 https://CRAN.R-project.org/package=flexdashboard

R Core Team (2017). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. https://www.R-project.org/