EPJ B Topical Issue: Mathematical Modeling in Epidemiology: Limits and Pitfalls
- Details
- Published on 07 November 2023
Guest Editors: Philipp Hövel and Igor Sokolov
Submissions are invited for a Topical Issue of EPJ B on Mathematical Modeling in Epidemiology: Limits and Pitfalls.
The last/on-going SARS-CoV2 pandemic has triggered an unprecedented boost of studies on mathematical modeling of epidemics. Large-scale data have become available on high spatial, temporal, and social resolution. Many groups have entered the field, devoting time and attention to the topic. Now, it is time to re-evaluate methods and approaches of modeling and to learn from the past for the future:
The aim of this topical issue is to put recent studies under scrutiny and to make recent advances accessible to the wider community. The issue summarizes the latest developments and addresses the following questions:
- What worked? What did not?
- What are the limits and pitfalls of mathematical modeling approaches?
- What can be inferred from available data and simulations? What cannot?
Contributions can address the full range of modeling and application efforts that advance our understanding of epidemiology. In particular, we invite submissions from areas such as
- Modeling approaches: from differential equations to agent-based simulations
- Limits and accuracy of modeling: hierarchy,moment closure
- Applications:
- Real-world examples: SARS, Ebola, influenza, Zika
- a posteriori and real-time data analysis
- Embedding of (human, livestock, wild animals) contact networks
- Transferability of methods, models, and results but also other aspects addressing the above mentioned questions.
The issue is open to everyone working in the field. We invite contributors to communicate their intention to submit manuscripts for this Topical Issue to the Issue Editors as soon as possible. Please provide the tentative title of the paper and a short abstract.
Original research papers, Reviews, and Colloquium-type articles focusing on the full range of modelling, experiment, and application efforts that advance our understanding are welcome.
Submissions should be clearly identified as intended for the Topical Issue on ‘Mathematical Modeling in Epidemiology: Limits and Pitfalls’. Papers will be published continuously and will appear as soon as accepted on the journal website. The electronic version of the Topical Issue will contain all accepted papers in the order of publication. All submitted papers will be refereed according to the usual high standards of the journal. More information about EPJ B, including instructions for authors is available here. The full manuscripts should be submitted before the deadline directly to the EPJB Editorial Office at https://www.editorialmanager.com/epjb/.
Deadline for submission: June 30, 2024
Guest Editors:
Dr. Philipp Hövel (Associate Editor EPJB) Saarland University, Theoretical Physics and Center for Biophysics, Campus E2 6, 66123 Saarbrücken, Germany This email address is being protected from spambots. You need JavaScript enabled to view it.
Prof. Dr. Igor Sokolov (Associate Editor EPJB) Humboldt-Universität zu Berlin, Institut für Physik, Newtonstraße 15, 12489 Berlin, Germany This email address is being protected from spambots. You need JavaScript enabled to view it.
Open Access
EPJ B is a hybrid journal offering Open Access publication via the Open Choice programme and a growing number of Springer Compact “Publish and Read” arrangements which enable authors to publish OA at no direct cost (all costs are paid centrally).
