Public health surveillance and reporting

An open source approach

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Join us for a discussion on how open source tools can enable automated, reproducible and scalable public health reporting.
Published

March 30, 2023

Time and place: Mar. 30, 2023 12:00 PM–1:00 PM

Hybrid: Georg Sverdrups hus and Zoom

Event page

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!