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- Publisher Website: 10.1126/science.1134695
- Scopus: eid_2-s2.0-34249883600
- PMID: 17540894
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Article: Large-scale spatial-transmission models of infectious disease
Title | Large-scale spatial-transmission models of infectious disease |
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Authors | |
Issue Date | 2007 |
Publisher | American Association for the Advancement of Science. The Journal's web site is located at http://sciencemag.org |
Citation | Science, 2007, v. 316 n. 5829, p. 1298-1301 How to Cite? |
Abstract | 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. |
Persistent Identifier | http://hdl.handle.net/10722/86875 |
ISSN | 2023 Impact Factor: 44.7 2023 SCImago Journal Rankings: 11.902 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Riley, S | en_HK |
dc.date.accessioned | 2010-09-06T09:22:24Z | - |
dc.date.available | 2010-09-06T09:22:24Z | - |
dc.date.issued | 2007 | en_HK |
dc.identifier.citation | Science, 2007, v. 316 n. 5829, p. 1298-1301 | en_HK |
dc.identifier.issn | 0036-8075 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/86875 | - |
dc.description.abstract | 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. | en_HK |
dc.language | eng | en_HK |
dc.publisher | American Association for the Advancement of Science. The Journal's web site is located at http://sciencemag.org | en_HK |
dc.relation.ispartof | Science | en_HK |
dc.rights | Science. Copyright © American Association for the Advancement of Science. | en_HK |
dc.subject.mesh | Animals | en_HK |
dc.subject.mesh | Communicable Disease Control | en_HK |
dc.subject.mesh | Communicable Diseases - epidemiology - transmission | en_HK |
dc.subject.mesh | Disease Outbreaks | en_HK |
dc.subject.mesh | Disease Transmission, Infectious | en_HK |
dc.subject.mesh | Family Characteristics | en_HK |
dc.subject.mesh | Foot-and-Mouth Disease - epidemiology - transmission | en_HK |
dc.subject.mesh | Great Britain - epidemiology | en_HK |
dc.subject.mesh | Humans | en_HK |
dc.subject.mesh | Influenza, Human - epidemiology - transmission | en_HK |
dc.subject.mesh | Measles - epidemiology - transmission | en_HK |
dc.subject.mesh | Models, Biological | en_HK |
dc.subject.mesh | Smallpox - epidemiology - transmission | en_HK |
dc.title | Large-scale spatial-transmission models of infectious disease | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0036-8075&volume=316&spage=1298&epage=1301&date=2007&atitle=Large-scale+spatial-transmission+models+of+infectious+disease | en_HK |
dc.identifier.email | Riley, S:sriley@hkucc.hku.hk, steven.riley@hku.hk | en_HK |
dc.identifier.authority | Riley, S=rp00511 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1126/science.1134695 | en_HK |
dc.identifier.pmid | 17540894 | - |
dc.identifier.scopus | eid_2-s2.0-34249883600 | en_HK |
dc.identifier.hkuros | 127803 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-34249883600&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 316 | en_HK |
dc.identifier.issue | 5829 | en_HK |
dc.identifier.spage | 1298 | en_HK |
dc.identifier.epage | 1301 | en_HK |
dc.identifier.isi | WOS:000246885600039 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.f1000 | 717978480 | - |
dc.identifier.scopusauthorid | Riley, S=7102619416 | en_HK |
dc.identifier.citeulike | 1362884 | - |
dc.identifier.issnl | 0036-8075 | - |