About: Temporal Variability and Social Heterogeneity in Disease Transmission: The Case of SARS in Hong Kong

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Temporal Variability and Social Heterogeneity in Disease Transmission: The Case of SARS in Hong Kong
Creator	Leung, G Thomas, G Boëlle, P-Y Cori, A Valleron, A-J
Source	Medline; PMC
abstract	The extent to which self-adopted or intervention-related changes in behaviors affect the course of epidemics remains a key issue for outbreak control. This study attempted to quantify the effect of such changes on the risk of infection in different settings, i.e., the community and hospitals. The 2002–2003 severe acute respiratory syndrome (SARS) outbreak in Hong Kong, where 27% of cases were healthcare workers, was used as an example. A stochastic compartmental SEIR (susceptible-exposed-infectious-removed) model was used: the population was split into healthcare workers, hospitalized people and general population. Super spreading events (SSEs) were taken into account in the model. The temporal evolutions of the daily effective contact rates in the community and hospitals were modeled with smooth functions. Data augmentation techniques and Markov chain Monte Carlo (MCMC) methods were applied to estimate SARS epidemiological parameters. In particular, estimates of daily reproduction numbers were provided for each subpopulation. The average duration of the SARS infectious period was estimated to be 9.3 days (±0.3 days). The model was able to disentangle the impact of the two SSEs from background transmission rates. The effective contact rates, which were estimated on a daily basis, decreased with time, reaching zero inside hospitals. This observation suggests that public health measures and possible changes in individual behaviors effectively reduced transmission, especially in hospitals. The temporal patterns of reproduction numbers were similar for healthcare workers and the general population, indicating that on average, an infectious healthcare worker did not infect more people than any other infectious person. We provide a general method to estimate time dependence of parameters in structured epidemic models, which enables investigation of the impact of control measures and behavioral changes in different settings.
has issue date	2009-08-21(xsd:dateTime)
bibo:doi	10.1371/journal.pcbi.1000471
bibo:pmid	19696879
has license	cc-by
sha1sum (hex)	dcf12f1f76ae03b3107f00aadea540298105d312
schema:url	https://doi.org/10.1371/journal.pcbi.1000471
resource representing a document's title	Temporal Variability and Social Heterogeneity in Disease Transmission: The Case of SARS in Hong Kong
has PubMed Central identifier	PMC2717369
has PubMed identifier	19696879
schema:publication	PLoS Comput Biol
resource representing a document's body	covid:dcf12f1f76ae03b3107f00aadea540298105d312#body_text
is schema:about of	named entity 'SARS' named entity 'Super' named entity 'population' named entity 'estimate' named entity 'numbers' named entity 'behavioral' named entity 'Hong Kong' named entity 'VARIABILITY' named entity 'ZERO' named entity 'SPREADING' named entity 'REDUCED' named entity 'EPIDEMIC' named entity 'SELF' named entity 'AFFECT' named entity 'PERSON' named entity 'INDIVIDUAL' named entity 'STRUCTURED' named entity 'RATES' named entity 'CONTROL' named entity 'INFECTIOUS PERIOD' named entity 'METHODS' named entity 'PROVIDE' named entity 'PEOPLE' named entity 'COMMUNITY' named entity 'ISSUE' named entity 'HEALTHCARE WORKER' named entity 'PROVIDED' named entity 'HONG KONG' named entity 'MARKOV CHAIN MONTE CARLO' named entity 'DECREASED' named entity 'HOSPITALS' named entity 'GENERAL POPULATION' named entity 'AVERAGE' named entity 'PATTERNS' named entity 'WITH TIME' named entity 'NUMBERS' named entity 'REACHING' named entity 'STUDY' named entity 'WHERE' named entity 'COURSE' named entity 'ATTEMPTED' named entity 'MODELED' named entity 'RELATED' named entity 'INVESTIGATION' named entity 'PARAMETERS' named entity 'SPLIT' named entity 'EPIDEMIOLOGICAL' named entity 'EPIDEMICS' named entity 'EFFECT' named entity 'DURATION' named entity 'SMOOTH' named entity 'TRANSMISSION' named entity 'METHOD' named entity 'ESTIMATE' named entity 'SOCIAL' named entity 'OBSERVATION' named entity 'TAKEN' named entity 'INDICATING' named entity 'REMOVED' covid:arg/dcf12f1f76ae03b3107f00aadea540298105d312 named entity 'INFECT' named entity 'HETEROGENEITY' named entity 'CASE' named entity 'FUNCTIONS' named entity 'RISK OF INFECTION' named entity 'EVENTS' named entity 'DISEASE TRANSMISSION' named entity 'TEMPORAL' named entity 'GENERAL' named entity 'MODELS' named entity 'DAILY' named entity 'ON A DAILY BASIS' named entity 'INFECTIOUS' named entity 'HOSPITALIZED' named entity 'POSSIBLE' named entity 'CONTACT' named entity 'HEALTHCARE WORKERS'

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