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Spatial dynamics of an epidemic of severe acute respiratory syndrome in an urban area

Wang, Jinfeng; McMichael, Anthony; Meng, Bin; Becker, Niels; Han, Weiguo; Glass, Kathryn; Wu, Jilei; Liu, Xuhua; Liu, Jiyuan; Li, Xiaowen; Zheng, Xiaoying

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Objective: To map risk of exposure to severe acute respiratory syndrome (SARS) in an urban area and assess the ability of traditional interventions to control dispersion of the disease. Methods: Data on the Beijing SARS epidemic were used to map spatial clusters of identified contacts and to estimate transmission of SARS using a model with a time-dependent transmission rate. Results: The estimated transmission rate decreased dramatically from 20 to 30 April 2003. The total number of cases in...[Show more]

dc.contributor.authorWang, Jinfeng
dc.contributor.authorMcMichael, Anthony
dc.contributor.authorMeng, Bin
dc.contributor.authorBecker, Niels
dc.contributor.authorHan, Weiguo
dc.contributor.authorGlass, Kathryn
dc.contributor.authorWu, Jilei
dc.contributor.authorLiu, Xuhua
dc.contributor.authorLiu, Jiyuan
dc.contributor.authorLi, Xiaowen
dc.contributor.authorZheng, Xiaoying
dc.date.accessioned2015-12-08T22:13:34Z
dc.identifier.issn0042-9686
dc.identifier.urihttp://hdl.handle.net/1885/29878
dc.description.abstractObjective: To map risk of exposure to severe acute respiratory syndrome (SARS) in an urban area and assess the ability of traditional interventions to control dispersion of the disease. Methods: Data on the Beijing SARS epidemic were used to map spatial clusters of identified contacts and to estimate transmission of SARS using a model with a time-dependent transmission rate. Results: The estimated transmission rate decreased dramatically from 20 to 30 April 2003. The total number of cases in the epidemic in Beijing was estimated to be 2521. Hierarchical clustering revealed that risk-exposures were widespread, but clustered in a pattern that is distinctly related to the Beijing urban ring roads. Conclusion: Traditional control measures can be very effective at reducing transmission of SARS. Spatial patterns of risk-exposures can inform disease surveillance, prediction and control by identifying spatial target areas on which interventions should be focused.
dc.publisherWorld Health Organization (WHO Press)
dc.sourceBulletin of the World Health Organization
dc.subjectKeywords: disease control; disease transmission; epidemic; health risk; severe acute respiratory syndrome; spatial distribution; urban area; article; disease control; disease transmission; epidemic; human; population exposure; risk assessment; severe acute respirat
dc.titleSpatial dynamics of an epidemic of severe acute respiratory syndrome in an urban area
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume84
dc.date.issued2006
local.identifier.absfor111706 - Epidemiology
local.identifier.ariespublicationu4054856xPUB69
local.type.statusPublished Version
local.contributor.affiliationWang , Jinfeng, Chinese Academy of Sciences
local.contributor.affiliationMcMichael, Anthony, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationMeng, Bin, Chinese Academy of Sciences
local.contributor.affiliationBecker, Niels, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationHan, Weiguo, Chinese Academy of Sciences
local.contributor.affiliationGlass, Kathryn, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationWu, Jilei, Chinese Academy of Sciences
local.contributor.affiliationLiu, Xuhua, Chinese Academy of Sciences
local.contributor.affiliationLiu, Jiyuan, Chinese Academy of Sciences
local.contributor.affiliationLi, Xiaowen, Chinese Academy of Sciences
local.contributor.affiliationZheng, Xiaoying, Peking University
local.description.embargo2037-12-31
local.bibliographicCitation.startpage965
local.bibliographicCitation.lastpage968
local.identifier.doi10.2471/BLT.06.030247
dc.date.updated2015-12-08T07:44:21Z
local.identifier.scopusID2-s2.0-33845420470
CollectionsANU Research Publications

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