Editorial : infectious disease modelling
| Data(s) |
01/10/2012
|
|---|---|
| Resumo |
The aim of this Special Issue is to collect together a group of outstanding applied mathematics research articles that provide new insight into our understanding of infectious diseases and infectious disease modelling. The scope of the articles is broad, encompassing both specific applications of modelling to particular examples of infectious diseases, as well as articles that are devoted to the development of more general theoretical insight. |
| Formato |
application/pdf application/pdf |
| Identificador | |
| Publicador |
Cambridge University Press |
| Relação |
http://eprints.qut.edu.au/58910/1/ANZIAM_2012b.pdf http://eprints.qut.edu.au/58910/4/58910P.pdf http://journal.austms.org.au/ojs/index.php/ANZIAMJ Simpson, Matthew & Mercer, Geoff (2012) Editorial : infectious disease modelling. ANZIAM Journal, 54(1-2). |
| Direitos |
Copyright 2012 Cambridge University Press |
| Fonte |
Institute of Health and Biomedical Innovation; School of Mathematical Sciences; Science & Engineering Faculty |
| Palavras-Chave | #010202 Biological Mathematics #Infectious Disease Modelling #Applied Mathematics |
| Tipo |
Journal Article |
