About the topic
Situational awareness is key to fast response during a public health emergency, such as COVID-19 pandemic. However, making disease surveillance reports that cover different geographical units for various metrics and data registries is both resource intensive and time consuming. Open source tools such as R packages, GitHub and Airflow can make this process automatic, reproducible and scalable.
Every day during the pandemic, Sykdomspulsen team at the Norwegian Institute of Public Health (FHI/NIPH) fetched data from more than 15 data sources, cleaned, censored datasets and carried out a wide range of statistical analyses. Over 1000 situational reports containing automated graphs and tables were produced before breakfast time.
Grab you matpakke and join us for a presentation from Chi Zhang about how Sykdomspulsen team used and developed open source software to make public health surveillance and reporting more efficient, followed up by a discussion on the benefits and concerns of making these data public. We will end with an open Q&A session as usual!
How to join
The event is open to everybody and will take place on-site at the Digital Scholarship Center, Georg Sverdrups hus, 1st floor (register here for in-person attendance) as well as online on Zoom (click here to join).
About Open Science Lunch
Each last Thursday of the month at 12.00 we invite you to join us an open lunch to hear about how to make your research more open. We will discuss research transparency and visibility, open publishing, data sharing, and more! After each short presentation we will have a Q&A session, where you can ask questions or try yourself some of the tools and solutions we will present!