Gert van der Hoek
In Memoriam - Editor, Senior Moderator
Science 1 June 2007:
Vol. 316. no. 5829, pp. 1298 - 1301
DOI: 10.1126/science.1134695
Review
Large-Scale Spatial-Transmission Models of Infectious Disease
Steven Riley
During transmission of seasonal endemic diseases such as measles and influenza, spatial waves of infection have been observed between large distant populations.
Also, during the initial stages of an outbreak of a new or reemerging pathogen, disease incidence tends to occur in spatial clusters, which makes containment possible if you can predict the subsequent spread of disease.
Spatial models are being used with increasing frequency to help characterize these large-scale patterns and to evaluate the impact of interventions.
Here, I review several recent studies on four diseases that show the benefits of different methodologies: measles (patch models), foot-and-mouth disease (distance-transmission models), pandemic influenza (multigroup models), and smallpox (network models).
This review highlights the importance of the household in spatial studies of human diseases, such as smallpox and influenza.
It also demonstrates the need to develop a simple model of household demographics, so that these large-scale models can be extended to the investigation of long?time scale human pathogens, such as tuberculosis and HIV.
Department of Community Medicine and School of Public Health, Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People's Republic of China.
E-mail: steven.riley@hku.hk
Read the Full Text (subscription):
http://www.sciencemag.org/cgi/content/full/316/5829/1298
Vol. 316. no. 5829, pp. 1298 - 1301
DOI: 10.1126/science.1134695
Review
Large-Scale Spatial-Transmission Models of Infectious Disease
Steven Riley
During transmission of seasonal endemic diseases such as measles and influenza, spatial waves of infection have been observed between large distant populations.
Also, during the initial stages of an outbreak of a new or reemerging pathogen, disease incidence tends to occur in spatial clusters, which makes containment possible if you can predict the subsequent spread of disease.
Spatial models are being used with increasing frequency to help characterize these large-scale patterns and to evaluate the impact of interventions.
Here, I review several recent studies on four diseases that show the benefits of different methodologies: measles (patch models), foot-and-mouth disease (distance-transmission models), pandemic influenza (multigroup models), and smallpox (network models).
This review highlights the importance of the household in spatial studies of human diseases, such as smallpox and influenza.
It also demonstrates the need to develop a simple model of household demographics, so that these large-scale models can be extended to the investigation of long?time scale human pathogens, such as tuberculosis and HIV.
Department of Community Medicine and School of Public Health, Faculty of Medicine, University of Hong Kong, Hong Kong, Special Administrative Region, People's Republic of China.
E-mail: steven.riley@hku.hk
Read the Full Text (subscription):
http://www.sciencemag.org/cgi/content/full/316/5829/1298