Dynamics of bed bug infestations and control under disclosure policies

dc.contributor.author Xie, Sherrie
dc.contributor.author Hill, Alison
dc.contributor.author Rehmann, Chris
dc.contributor.author Rehmann, Chris
dc.contributor.author Levy, Michael
dc.contributor.department Civil, Construction and Environmental Engineering
dc.date 2019-03-20T01:03:02.000
dc.date.accessioned 2020-06-30T01:12:55Z
dc.date.available 2020-06-30T01:12:55Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 2019
dc.date.issued 2019-01-01
dc.description.abstract <p>Bed bugs have reemerged in the United States and worldwide over recent decades, presenting a major challenge to both public health practitioners and housing authorities. A number of municipalities have proposed or initiated policies to stem the bed bug epidemic, but little guidance is available to evaluate them. One contentious policy is disclosure, whereby landlords are obligated to notify potential tenants of current or prior bed bug infestations. Aimed to protect tenants from leasing an infested rental unit, disclosure also creates a kind of quarantine, partially and temporarily removing infested units from the market. Here, we develop a mathematical model for the spread of bed bugs in a generalized rental market, calibrate it to parameters of bed bug dispersion and housing turnover, and use it to evaluate the costs and benefits of disclosure policies to landlords. We find disclosure to be an effective control policy to curb infestation prevalence. Over the short term (within 5 years), disclosure policies result in modest increases in cost to landlords, while over the long term, reductions of infestation prevalence lead, on average, to savings. These results are insensitive to different assumptions regarding the prevalence of infestation, rate of introduction of bed bugs from other municipalities, and the strength of the quarantine effect created by disclosure. Beyond its application to bed bugs, our model offers a framework to evaluate policies to curtail the spread of household pests and is appropriate for systems in which spillover effects result in highly nonlinear cost–benefit relationships.</p>
dc.description.comments <p>This article is published as Xie, Sherrie, Alison L. Hill, Chris R. Rehmann, and Michael Z. Levy. "Dynamics of bed bug infestations and control under disclosure policies." <em>Proceedings of the National Academy of Sciences</em> (2019): 201814647. DOI: <a href="http://dx.doi.org/10.1073/pnas.1814647116" target="_blank">10.1073/pnas.1814647116 </a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/ccee_pubs/219/
dc.identifier.articleid 1219
dc.identifier.contextkey 13995079
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ccee_pubs/219
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/13869
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/ccee_pubs/219/2019_RehmannChris_DynamicsBed.pdf|||Fri Jan 14 22:39:34 UTC 2022
dc.source.uri 10.1073/pnas.1814647116
dc.subject.disciplines Civil and Environmental Engineering
dc.subject.disciplines Environmental Public Health
dc.subject.disciplines Epidemiology
dc.subject.keywords bed bugs
dc.subject.keywords disclosure
dc.subject.keywords mathematical model
dc.title Dynamics of bed bug infestations and control under disclosure policies
dc.type article
dc.type.genre article
dspace.entity.type Publication
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relation.isOrgUnitOfPublication 933e9c94-323c-4da9-9e8e-861692825f91
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