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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.

View full aims and scope

Editors-in-Chief: Yiming Shao, Jianhong Wu
View full editorial board

Journal Metrics
CiteScore: 3.5
: 3.5
CiteScore measures the average citations received per peer-reviewed document published in this title. CiteScore values are based on citation counts in a range of four years (e.g. 2016-2019) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of these documents in these same four years (e.g. 2016 – 19).
Source Normalized Impact per Paper (SNIP): 1.185
Source Normalized Impact per Paper (SNIP):
2019: 1.185
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 0.880
SCImago Journal Rank (SJR):
2019: 0.880
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Imprint: KeAi
ISSN: 2468-0427
New Associate Editors of Infectious Disease Modelling
We are pleased to announce that Dr. Yijun Lou and Dr. Daihai He have been appointed as the new Associate Editors of Infectious Disease Modelling.
Infectious Disease Modelling Indexed in ESCI
Infectious Disease Modelling has also been indexed in Scopus, PubMed, Directory of Open Access Journals (DOAJ) and EMBASE.
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.
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