activity
20172023
most citedKey Questions for Modelling COVID-19 Exit Strategies

138 citations · 240 across the 6 of their papers we have counts for

collaborators

7 papers

math.DS2023★ 2 cited

Parameter estimation for contact tracing in graph-based models

Augustine Okolie, Johannes Müller, Mirjam Kretzschmar

We adopt a maximum-likelihood framework to estimate parameters of a stochastic susceptible-infected-recovered (SIR) model with contact tracing on a rooted random tree. Given the nu…

q-bio.PE2021★ 3 cited

The winter dilemma

Sebastian Contreras, Philipp Dönges, Joel Wagner +8

With winter coming in the northern hemisphere, disadvantageous seasonality of SARS-CoV-2 requires high immunity levels in the population or increasing non-pharmaceutical interventi…

q-bio.OT2021★ 82 cited

A look into the future of the COVID-19 pandemic in Europe: an expert consultation

Emil Nafis Iftekhar, Viola Priesemann, Rudi Balling +31

How will the coronavirus disease 2019 (COVID-19) pandemic develop in the coming months and years? Based on an expert survey, we examine key aspects that are likely to influence COV…

q-bio.PE2020

Contact Tracing -- Old Models and New Challenges

Johannes Müller, Mirjam Kretzschmar

Contact tracing is an effective method to control emerging diseases. Since the 1980's, mathematical modelers are developing a consistent theory for contact tracing, with the aim to…

q-bio.OT2020★ 138 cited

Key Questions for Modelling COVID-19 Exit Strategies

Robin N Thompson, T Deirdre Hollingsworth, Valerie Isham +40

Combinations of intense non-pharmaceutical interventions ('lockdowns') were introduced in countries worldwide to reduce SARS-CoV-2 transmission. Many governments have begun to impl…

q-bio.PE2020★ 15 cited

Modelling pathogen spread in a healthcare network: indirect patient movements

M. J. Piotrowska, K. Sakowski, A. Karch +4

A hybrid network--deterministic model for simulation of multiresistant pathogen spread in a healthcare system is presented. The model accounts for two paths of pathogen transmissio…

q-bio.PE2017

Mean field at distance one

Ka Yin Leung, Mirjam Kretzschmar, Odo Diekmann

To be able to understand how infectious diseases spread on networks, it is important to understand the network structure itself in the absence of infection. In this text we conside…