[Hybrid] Real-Time Public Health Surveillance with Sykdomspulsen

[Note]
This event will take place at Rebel, in room "Nils Henrik". For those of you joining us elsewhere in the world, you can livestream the event here: https://youtu.be/9wmajA7Okrg

[Abstract]
An effective and timely outbreak response requires real-time data and analytics. Sykdomspulsen (https://docs.sykdomspulsen.no/) is a real-time analysis and disease surveillance system developed at the Norwegian Institute of Public Health (FHI). Every day, Sykdomspulsen processes new data collected from over 15 data sources (e.g. covid-19 cases, hospitalization, influenza and others), runs 1 million analysis on 1000+ database tables, for all locations and age groups in Norway and produce thousands of graphs and tables. Sykdomspulsen generates 1000+ daily reports, sends automated emails and runs a shiny website to inform the national and municipal public health authorities of the latest situation.
Sykdomspulsen runs on a set of R packages developed in-house, the splverse. In this talk, I will introduce how Sykdomspulsen automates real-time public health surveillance tasks with splverse packages, R markdown and other data science tools (e.g. Airflow). I will demonstrate how to make an automated report (autoreport) using R, and how it can make your work more efficient. I will also explain how we adopted the 4 tidyverse principles in our work as a small data science team in the public sector. If you are curious about public health surveillance using R, auto-reports or want to know how our R packages can help your work, this is the talk for you!

[Bio]
Chi is currently working at the Sykdomspulsen team as a researcher and R developer, at the Norwegian Institute of Public Health. Before she joined Sykdomspulsen in the middle of the pandemic (2020), she was a PhD student at the Department of Biostatistics at University of Oslo (OCBE), working on hospital EHR data.