Blog

Auto-Updating Docker-Compose Images (Using Podman)

Through some simple python coding and systemd services, we have successfully created an automatic update mechanism for Docker-Compose with a Podman backend.

R-Package "org" (version 2022.7.20) Published on CRAN

"org" is a system to help you organize projects. Most analyses have three (or more) main sections: code, results, and data, each with different requirements (version control/sharing/encryption). You provide folder locations and 'org' helps you take care of the details.

Custom Airflow Docker Operator (Poor-Man's Kubernetes)

Airflow is a platform to programmatically author, schedule, and monitor workflows data. Operators are the main building blocks that encapsulate logic to do a unit of work. We have created a custom Airflow operator that 1) checks a remote YAML file and 2) then takes a decision to do one of two actions. This allows us to create a "poor-man's Kubernetes".

Tidyverse principles at Sykdomspulsen

At Sykdomspulsen we adopt the Tidyverse principles.

From data to reports: real-time surveillance with splverse

In this post we demonstrate how we use splverse to carry out real-time public health surveillance.

Automated reporting in real-time public health surveillance

In this post we introduce how Sykdomspulsen uses automated reports to carry out surveillance tasks.

R-Package "plnr" (version 2022.6.8) Published on CRAN

"plnr" is a system to plan analyses within the mental model where you have one (or more) datasets and want to run either A) the same function multiple times with different arguments, or B) multiple functions. This is appropriate when you have multiple strata (e.g. locations, age groups) that you want to apply the same function to, or you have multiple variables (e.g. exposures) that you want to apply the same statistical method to, or when you are creating the output for a report and you need multiple different tables or graphs.

New Course: Longitudinal Analysis for Surveillance

Sykdomspulsen has published a short course that teaches students to run "normal regressions" in situations where the data structure would ordinarily prohibit you from running regression models. These situations mostly pertain to clusters of correlated data.

New Course: Which Stats Method?

Sykdomspulsen has published a short course that provides a basic overview of general statistical methodology that can be useful in the areas of infectious diseases, environmental medicine, and labwork. By the end of this course, students will be able to identify appropriate statistical methods for a variety of circumstances.

Sykdomspulsen Receives Prize for Best Poster

Sykdomspulsen received the prize for best poster at Helse- og Kvalitetsregisterkonferansen 2021.

Posterpris til Sykdomspulsen

Sykdomspulsen fikk posterpris på Helse- og Kvalitetsregisterkonferansen 2021.

We are at Kvalitetsregister Konferanse Today/Tomorrow!

Come chat to us in the poster presentation time slot

Welcome to Sykdomspulsen

Sykdomspulsen is a real time analysis and disease surveillance system designed and developed at the Norwegian Institute of Public Health (NIPH/FHI).

More articles »

Blog

Corrections

If you see mistakes or want to suggest changes, please create an issue on the source repository.

Reuse

Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/sykdomspulsen-org/sykdomspulsen-org.github.io, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".