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A simple model for behaviour change in epidemics Brauer, Fred
Abstract
Background. People change their behaviour during an epidemic. Infectious members of a population may reduce the number of contacts they make with other people because of the physical effects of their illness and possibly because of public health announcements asking them to do so in order to decrease the number of new infections, while susceptible members of the population may reduce the number of contacts they make in order to try to avoid becoming infected. Methods We consider a simple epidemic model in which susceptible and infectious members respond to a disease outbreak by reducing contacts by different fractions and analyze the effect of such contact reductions on the size of the epidemic. We assume constant fractional reductions, without attempting to consider the way in which susceptible members might respond to information about the epidemic. Results We are able to derive upper and lower bounds for the final size of an epidemic, both for simple and staged progression models. Conclusions The responses of uninfected and infected individuals in a disease outbreak are different, and this difference affects estimates of epidemic size.
Item Metadata
Title |
A simple model for behaviour change in epidemics
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Creator | |
Publisher |
BioMed Central
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Date Issued |
2011-02-25
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Description |
Background.
People change their behaviour during an epidemic. Infectious members of a population may reduce the number of contacts they make with other people because of the physical effects of their illness and possibly because of public health announcements asking them to do so in order to decrease the number of new infections, while susceptible members of the population may reduce the number of contacts they make in order to try to avoid becoming infected.
Methods
We consider a simple epidemic model in which susceptible and infectious members respond to a disease outbreak by reducing contacts by different fractions and analyze the effect of such contact reductions on the size of the epidemic. We assume constant fractional reductions, without attempting to consider the way in which susceptible members might respond to information about the epidemic.
Results
We are able to derive upper and lower bounds for the final size of an epidemic, both for simple and staged progression models.
Conclusions
The responses of uninfected and infected individuals in a disease outbreak are different, and this difference affects estimates of epidemic size.
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Genre | |
Type | |
Language |
eng
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Date Available |
2015-08-27
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution 4.0 International (CC BY 4.0)
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DOI |
10.14288/1.0074660
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URI | |
Affiliation | |
Citation |
BMC Public Health. 2011 Feb 25;11(Suppl 1):S3
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Publisher DOI |
10.1186/1471-2458-11-S1-S3
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty
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Copyright Holder |
Brauer; licensee BioMed Central Ltd.
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution 4.0 International (CC BY 4.0)