DSpace Repository

The Effects of City Streets on an Urban Disease Vector

Show simple item record

dc.contributor.author Barbu, Corentin M.
dc.contributor.author Hong, Andrew
dc.contributor.author Manne, Jennifer M.
dc.contributor.author Small, Dylan S.
dc.contributor.author Quintanilla Calderón, Javier E.
dc.contributor.author Sethuraman, Karthik
dc.contributor.author Quispe-Machaca, Victor
dc.contributor.author Ancca-Juárez, Jenny
dc.contributor.author Cornejo del Carpio, Juan G.
dc.contributor.author Málaga Chavez, Fernando S.
dc.contributor.author Naquira Velarde, Cesar Gabriel
dc.contributor.author Levy, Michael Z.
dc.date.accessioned 2022-01-04T20:31:47Z
dc.date.available 2022-01-04T20:31:47Z
dc.date.issued 2013
dc.identifier.uri https://hdl.handle.net/20.500.12866/10648
dc.description.abstract With increasing urbanization vector-borne diseases are quickly developing in cities, and urban control strategies are needed. If streets are shown to be barriers to disease vectors, city blocks could be used as a convenient and relevant spatial unit of study and control. Unfortunately, existing spatial analysis tools do not allow for assessment of the impact of an urban grid on the presence of disease agents. Here, we first propose a Method: to test for the significance of the impact of streets on vector infestation based on a decomposition of Moran's spatial autocorrelation index; and second, develop a Gaussian Field Latent Class model to finely describe the effect of streets while controlling for cofactors and imperfect detection of vectors. We apply these Methods: to cross-sectional data of infestation by the Chagas disease vector Triatoma infestans in the city of Arequipa, Peru. Our Moran's decomposition test reveals that the distribution of T. infestans in this urban environment is significantly constrained by streets (p<0.05). With the Gaussian Field Latent Class model we confirm that streets provide a barrier against infestation and further show that greater than 90% of the spatial component of the probability of vector presence is explained by the correlation among houses within city blocks. The city block is thus likely to be an appropriate spatial unit to describe and control T. infestans in an urban context. Characteristics of the urban grid can influence the spatial dynamics of vector borne disease and should be considered when designing public health policies. en_US
dc.language.iso eng
dc.publisher Public Library of Science
dc.relation.ispartofseries PLoS Computational Biology
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Animals en_US
dc.subject Triatoma infestans en_US
dc.subject cross-sectional study en_US
dc.subject Humans en_US
dc.subject Peru en_US
dc.subject public health en_US
dc.subject Chagas disease en_US
dc.subject urban area en_US
dc.subject Urban Health en_US
dc.subject vector control en_US
dc.subject statistical model en_US
dc.subject traffic and transport en_US
dc.subject probability en_US
dc.subject Disease Vectors en_US
dc.subject species distribution en_US
dc.subject city planning en_US
dc.subject dynamics en_US
dc.subject Gaussian field latent class model en_US
dc.subject housing en_US
dc.subject infestation en_US
dc.subject pesticide spraying en_US
dc.subject spatial autocorrelation analysis en_US
dc.subject spatial dynamics en_US
dc.title The Effects of City Streets on an Urban Disease Vector en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1371/journal.pcbi.1002801
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#1.06.16
dc.relation.issn 1553-7358


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

info:eu-repo/semantics/restrictedAccess Except where otherwise noted, this item's license is described as info:eu-repo/semantics/restrictedAccess

Search DSpace


Browse

My Account

Statistics