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Infectious Disease Modelling

Infectious Disease Modelling is a peer-reviewed open access journal aiming to promote research working to interface mathematical modelling, infection disease data retrieval and analysis, and public health decision support. The journal welcomes original research contributing to the enhancement of this interface, and review articles of cutting edge methodologies motivated by and applicable to data collection and informatics for public health decision making and policy.

Published papers must contain substantial novelty which could include:

- Developing new frameworks, models and methodologies including comparisons with existing models, theories and methods to indicate demonstrable advantages;
- Applications of exiting models and methodologies to new infectious diseases and/or public health issues;
- Integrative use of methodologies and interdisciplinary approaches to evaluate intervention programs and to inform surveillance design;
-Developing linkages between data, modelling, analytics and policy.

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Editors-in-Chief: Yiming Shao, Jianhong Wu
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Imprint: KeAi
ISSN: 2468-0427
Recently published articles from Infectious Disease Modelling.
IDM editorial statement on the 2019-nCoV
Yiming Shao | Jianhong Wu
Infectious Disease Modelling Editorial Statement on the 2019-nCoV
We do believe global collaboration and rapid dissemination of mathematical modelling research results about this new coronavirus is important.
Infectious Disease Modelling Top-Cited Articles 2016-2018Infectious Disease Modelling Top-Cited Articles 2016-2018
Congratulations to the authors of the most-cited papers
The most downloaded articles from Infectious Disease Modelling in the last 90 days.
Special Issue on Vector-Borne Diseases Modelling
Submit your paper before 31 January 2020 and take advantage of a 75% discount in APC.
Special Issue on Infectious Disease Big Data Modelling and Analytics
Submit your paper before 31 January 2020 and take advantage of a 75% discount in APC.
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