Reich Lab Blog

Using the DELPHI API to access infectious disease data

by Nick

Posted on 01 September, 2016

This week I attended a workshop at the CDC about last year’s FluSight challenge, a competition that scores weekly real-time predictions about the course of the influenza season. They are planning another round this year and are hoping to increase the number of teams particiating. Stay tuned to this site for more info.

At the workshop, I learned about DELPHI’s real-time epidemiological data API. The API is linked to various data sources on influenza and dengue, including US CDC flu data, Google Flu Trends, and Wikipedia data. There is some documentation and minimal examples, and this post documents a more robust and complete example for using the API via R. I’ll note that the CDC’s influenza data, can also be accessed via the cdcfluview R package, which I’m not going to discuss here and I will focus here on accessing some of the other data sources. Here’s a teaser of this data that you can also interactively explore on the DELPHI EpiVis website:

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Five College DataFest recap: tips for next year

by Nick

Posted on 04 April, 2016

Another Five College ASA DataFest has long come and gone, and I’ve been meaning to write a recap for a while. Now in its third year in the Pioneer Valley in Western Massachusetts, the number of registrants doubled from last year, from 70 to 140. All Five Colleges (Amherst, Hampshire, Mt. Holyoke, Smith, and UMass-Amherst) sent multiple teams, and there were a few teams with a mix of students from different schools.

Team “Beta than U” from UMass-Amherst took home one of the Best in Group awards. From left to right: Laura Bowles, Vincent Lee, Harley Jean, Bianca Agustin, and Stephanie Crowley.

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Evidence for Ebola active monitoring policies

by Nick

Posted on 03 December, 2015

Sheri Fink published this nice piece in the New York Times yesterday on the legal issues surrounding state-imposed quarantines on travelers returning from countries with widespread Ebola transmission. In addition to the toll these policies have had on the individuals who have been put under quarantine, I took away from this article that there is still a need for better data on and communication about the risks of travelers being infected with Ebola. As it happens, this is the topic of my talk today at the Epidemics5 conference.

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ASTMH 2015 Presentation: Real-time prediction of dengue fever in Thailand

by Steve

Posted on 17 November, 2015

Last week, I had the honor of presenting at the 64th Annual Meeting of the American Society of Tropical Medicine & Hygiene (ASTMH) in the well-attended Dengue: Epidemiology session. This presentation covers our work with the Thai Ministry of Public Health and Johns Hopkins University in building an infrastructure for making real-time dengue hemorrhagic fever case predictions and evaluating the performance of our predictions thus far.

You can find the slides for the presentation here. After the jump, I’ll provide a slide-by-slide summary. To view the paper associated with this work, you can check it out on arXiv.

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Strange bedfellows: methods for predicting the NBA and flu

by Nick

Posted on 12 October, 2015

FiveThirtyEight’s new CARMELO prediction alorithm, that projects the future careers of every NBA player, has similarity with prediction methods in other fields.

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This blog was launched in the summer of 2015. We occasionally post news and other little tidbits of interest about our ongoing research.

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