I wanted to use the TwitteR package for R since a long time, I tried but didn’t do much of it. Today I found a few minutes, followed simple recipes (I admit), and looked at the number of tweets about flu today (November 13, 2018). Result: 283 tweets in English (I wanted to focus on the USA but, for some reason, I couldn’t … yet!). That’s not a lot. But remember we are only at the beginning of the influenza season 2018-2019 in the Northern hemisphere. ...
According to CDC data, studies are getting better at estimating the influenza vaccine effectiveness. With the 2017-2018 flu season still going on in the USA, there are already some indication that vaccines have some effectiveness (although its target strains were mismatched). The CDC reports how it measures vaccine effectiveness here and I was interested in their confidence intervals (the interval that takes into account uncertainties to extrapolate to the broader, unknown population). ...
FluTE is an influenza epidemic simulation model written by Dennis L. Chao at CSQUID. It works out-of-the box on GNU/Linux (just type make and run it). I wanted to see how it works. But since I’m temporarily stuck with a Windows laptop, I downloaded a free C++ compiler for Windows ( wxDev-C++), imported all the files in a project and compiled. For those who want to try, here is the project file and the specific makefile in a zip file (2 kb). Just decompress the FluTE archive (I used version 1.15), copy the two files from the zip file above and launch the IDE. In the project options (Alt+P), specify the custom makefile (in the “Makefile” tab) as the one from the zip file above. Compile (Ctrl+F9). Done. ...
I needed some data to test the pChart charting library so I decided to use WHO data about swine flu (in its weekly updates). The only issue I had was that the WHO started to collect data by country and changed to gather data by regional offices from July 27th, 2009 onwards. So graphs below are only by regional offices. For your information: ...