Mathematical modeling of infectious disease dynamics
Open Access
- 15 May 2013
- journal article
- review article
- Published by Taylor & Francis Ltd in Virulence
- Vol. 4 (4), 295-306
- https://doi.org/10.4161/viru.24041
Abstract
Over the last years, an intensive worldwide effort is speeding up the developments in the establishment of a global surveillance network for combating pandemics of emergent and re-emergent infectious diseases. Scientists from different fields extending from medicine and molecular biology to computer science and applied mathematics have teamed up for rapid assessment of potentially urgent situations. Toward this aim mathematical modeling plays an important role in efforts that focus on predicting, assessing, and controlling potential outbreaks. To better understand and model the contagious dynamics the impact of numerous variables ranging from the micro host–pathogen level to host-to-host interactions, as well as prevailing ecological, social, economic, and demographic factors across the globe have to be analyzed and thoroughly studied. Here, we present and discuss the main approaches that are used for the surveillance and modeling of infectious disease dynamics. We present the basic concepts underpinning their implementation and practice and for each category we give an annotated list of representative works.Keywords
This publication has 122 references indexed in Scilit:
- The Cost-Effectiveness of Supplementary Immunization Activities for Measles: A Stochastic Model for UgandaThe Journal of Infectious Diseases, 2011
- A high-resolution human contact network for infectious disease transmissionProceedings of the National Academy of Sciences of the United States of America, 2010
- Rubella metapopulation dynamics and importance of spatial coupling to the risk of congenital rubella syndrome in PeruJournal of The Royal Society Interface, 2010
- Individual identity and movement networks for disease metapopulationsProceedings of the National Academy of Sciences of the United States of America, 2010
- Multiscale mobility networks and the spatial spreading of infectious diseasesProceedings of the National Academy of Sciences of the United States of America, 2009
- Detecting influenza epidemics using search engine query dataNature, 2009
- Dynamic social networks and the implications for the spread of infectious diseaseJournal of The Royal Society Interface, 2008
- Complex networks: Structure and dynamicsPhysics Reports, 2006
- Networks and epidemic modelsJournal of The Royal Society Interface, 2005
- Modelling disease outbreaks in realistic urban social networksNature, 2004