Rasmus Kristoffer Pedersen

COVID-19 hospitalization-rate for vaccinated individuals

2022

Heatmap comparing the number of new hospitalizations due to COVID-19 in different age-groups, depending on vaccination-status. Shows the number of hospitalizations per 100,000 citizens in each age-group, including the raw numbers. When I made the figure, the public focus was about the number of new hospitalizations, without regard for the size of the corresponding population-group in general (As an example, week 46 had 80 hospitalizations among vaccinated 80+-year old, with "only" 13 among the unvaccinated in same age-group. Relative to the population-groups however, the unvaccinated where three times as likely to be hospitalized).

COVID-19 hospitalization-rate, additional figures

2022

Supplementary figure to the heatmap, illustrating the number of new hospitalizations and hospitalizations per 100,000 for a specific week. To illustrate the main point, I also illustrated the proportion of hospitalization of 20-29 year olds as dots representing 5% of the population-group.

COVID-19 case-fatality ratio

2022

Illustration of the progression of a naive calculation of the COVID-19 case-fatality rate (CFR) for Denmark from the start of the pandemic until April 2022. The figure shows how CFR declines as the vulnerable are vaccinated, increases as the Delta-variant dominates, and then again declines as booster-vaccinations are carried out and the Omicron variant dominates. Inspired by a similar figure for the UK created by John Burn-Murdoch.

Educational material for Danish high schools (Gymnasium)

2022

Development of educational material with the purpose of student-recruitment for the educations at Roskilde University, consisting of a short article, a worksheet and a video.

Material available online: https://ruc.dk/undervisningspakke-epidemier-og-matematiske-modeller

Interative figure for "Kapløb med COVID" article

2021

Interactive figures showing model-calculations of the COVID-19 wave in Denmark during the summer of 2021. Increased vaccine-uptake and reduced sociatal infection meant that COVID-19 was dying out. The arrival of the Delta- and Omicron-variants meant that later COVID-19 waves occured at the end of 2021. Developed for (Danish) article on Videnskab.dk: https://videnskab.dk/krop-sundhed/kaploebet-med-covid-19-kan-det-naa-at-gaa-helt-galt-eller-er-vi-allerede-i-maal/

Visualizations available online: Interaktivt/CovidSommer/cases Interaktivt/CovidSommer/hospData

Interactive “Viral load” figure

2021

Illustration of the viral load of an individual following a COVID-19 infection, and different testing strategies. The figure illustrates how frequent tests with a less sensitive test (e.g. lateral flow tests) can be better at detecting infections when compared to less frequent tests with a higher sensitivity (e.g. PCR-tests). Developed as part of PandemiX's modelling support of governmental investigation before the roll-out of the massive Danish COVID-19 lateral-flow testing strategy at the beginning of 2021.

Visualization available online: InteractiveViralLoad

Interactive prediction of the arrival of the Alpha-variant

2021

Decreasing COVID-19 infections following Christmas 2020/2021 and the arrival of the B.1.1.7 variant (later named Alpha), meant that, despite decreasing infections, an increase could be expected within a couple of weeks. Prediction made around week 5, and ended up being accurate for the following weeks. Developted for (Danish) article for Videnskab.dk: https://videnskab.dk/naturvidenskab/britisk-variant-lurer-stadig-denne-interaktive-beregner-viser-hvorfor-vi-er-noedt-til-at-holde-fast/

Visualization available online: InteractiveExponential

Interactive SIR-model

2020, 2021, 2022

The SIR-model is a classic model within epidemiology, and one of the mathematical arguments behind the COVID-19 lockdown in March 2020. During the COVID-19 pandemic, I made a number of interactive visualizations of the SIR-model for make it easier for laypersons to get an intuitive understnaindg of how the model works, and the model parameters.
Developed for (Danish) articles for Videnskab.dk:
https://videnskab.dk/krop-sundhed/tilbage-til-begyndelsen-lav-dine-egne-corona-kurver/
https://videnskab.dk/krop-sundhed/vender-covid-19-for-alvor-tilbage/

Visualizations available online:
Interactive/SIR/ and Interactive/SIRS/ and Interactive/SIR_simple/

Interactive SIR-model, agent-based

2016 and 2017

Long before COVID-19 made disease-spread and epidemiology common terms, I worked with mathematical epidemiology as a student. During my education, I was part of the Science Show at Roskilde University, in which we made public dissemination of various student-projets in an effort to attract new student to Roskilde University. For the Science Show presentations, I developed an agent-based visualization of the SIR-model, to illustrate different epidemiological aspects.

Visualizations available online:
SIR