The Journal of Mathematical Biology (JOMB) utilizes diverse mathematical disciplines to advance biological understanding. It publishes papers providing new insights through rigorous mathematical analysis or innovative mathematical tools, with a focus on accessibility to biologists.
The ESMTB Award Committee unanimously recommend the article titled "Pulled, pushed or failed: the demographic impact of a gene drive can change the nature of its spatial spread" by Lena Kläy, Léo Girardin, Vincent Calvez and Florence Débarre for the Karl-Peter Hadeler prize 2023.
The authors make an important contribution to the analysis of pushed and pulled waves in systems of partial differential equations (PDEs) for genetic drive/wild type invasions. They make new connections between genetic invasions and PDE modelling that allows them to gain relevant ecological insights into observations that result from genetic diversity. The paper is particularly well suited for the K.P. Hadeler prize as K.P. Hadeler himself has published on pulled and pushed invasion waves.
The ESMTB Award Committee unanimously recommend the article titled "Spatial ecology, optimal control and game theoretical fishing problems" by Idriss Mazari and Domènec Ruiz-Balet for the Karl-Peter Hadeler prize 2022.
The mathematical results presented in this article are interesting and well-integrated with the underlying ecological problem, of which they genuinely support a more in-depth theoretical understanding. Both authors are young researchers at an early stage of their academic careers and will thus certainly benefit from being awarded the KPH prize.
Fred Brauer, one of the pioneers in mathematical epidemiology, passed away on October 17, 2021, leaving a legacy of exceptional contributions to the field of epidemic modelling including his independent and collaborative research, and his mentorship of multiple generations of researchers in the field.
We are pleased to edit a topical collection for the Journal of Mathematical Biology in his honour. The topical collection covers all areas of epidemiological modelling defined broadly but focuses on using mathematical approaches to gain epidemiological understanding or explain epidemiological phenomena.
Submission Deadline: 31 October 2022 (Extended)
Guest Editors: Jianhong Wu, York University; Carlos Castillo-Chavez, Arizona State University; Zhilan Julie Feng, Purdue University; Christopher Kribs, University of Texas at Arlington; Shigui Ruan, University of Miami.