We are delighted to announce that Infectious Disease Modelling has been indexed in Scopus!
Elsevier’s Scopus database is the largest abstract and citation database of peer-reviewed literature: scientific journals, books and conference proceedings.
In addition, Infectious Disease Modelling has also been indexed in PubMed, the Directory of Open Access Journals (DOAJ) and EMBASE.
About 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.
Prof. Yiming Shao
National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention(China CDC), Beijing, China
Prof. Jianhong Wu
Department of Mathematics and Statistics, York University, Toronto, Canada