JPhysA特刊征稿|流行病预测模型的基本方法

特刊详情

客座编辑

• Joachim Krug，德国科隆大学
• 汤雷翰，香港浸会大学
• Lenka Zdeborová，法国CEA Saclay研究所

主题范围

This special issue is intended to address fundamental questions in disease transmission. Contributions may focus on the COVID-19 pandemic, but should make substantial mathematical or conceptual advances that will be of lasting importance.

Topics of interest include:

The effects of spatial structure, of population heterogeneity, of highly dispersed transmission networks, delay-time effects and the effect of the social distance metric.

We also encourage submissions that aim at integrating intervention strategies and the associated socio-economic dynamics into the modeling framework, or address the general problem of incorporating large-scale empirical data into predictive modelling using deep learning and related inference methods.

投稿流程

特刊文章与JPhysA期刊常规文章遵循相同的审稿流程和内容标准，并采用同样的投稿模式。

有关准备文章及投稿的详细信息，可以参阅IOPscience页面的作者指南。

作者可登入期刊主页进行在线投稿，在“文章类型”中选择“特刊文章”，并在“选择特刊”的下拉框中选择“Fundamental Approaches towards Predictive Epidemic Modelling”。

投稿截止日期：2023年6月30日。