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Dead Bird Clusters as an Early Warning System for West Nile Virus Activity

An early warning system for West Nile virus (WNV) outbreaks could provide a basis for targeted public education and surveillance activities as well as more timely larval and adult mosquito control. We adapted the spatial scan statistic for prospective detection of infectious disease outbreaks, appli...

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Autores principales: Mostashari, Farzad, Kulldorff, Martin, Hartman, Jessica J., Miller, James R., Kulasekera, Varuni
Formato: Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3000152/
https://www.ncbi.nlm.nih.gov/pubmed/12781002
http://dx.doi.org/10.3201/eid0906.020794
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author Mostashari, Farzad
Kulldorff, Martin
Hartman, Jessica J.
Miller, James R.
Kulasekera, Varuni
author_facet Mostashari, Farzad
Kulldorff, Martin
Hartman, Jessica J.
Miller, James R.
Kulasekera, Varuni
author_sort Mostashari, Farzad
collection PubMed
description An early warning system for West Nile virus (WNV) outbreaks could provide a basis for targeted public education and surveillance activities as well as more timely larval and adult mosquito control. We adapted the spatial scan statistic for prospective detection of infectious disease outbreaks, applied the results to data on dead birds reported from New York City in 2000, and reviewed its utility in providing an early warning of WNV activity in 2001. Prospective geographic cluster analysis of dead bird reports may provide early warning of increasing viral activity in birds and mosquitoes, allowing jurisdictions to triage limited mosquito-collection and laboratory resources and more effectively prevent human disease caused by the virus. This adaptation of the scan statistic could also be useful in other infectious disease surveillance systems, including that for bioterrorism.
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spelling pubmed-30001522010-12-16 Dead Bird Clusters as an Early Warning System for West Nile Virus Activity Mostashari, Farzad Kulldorff, Martin Hartman, Jessica J. Miller, James R. Kulasekera, Varuni Emerg Infect Dis Research An early warning system for West Nile virus (WNV) outbreaks could provide a basis for targeted public education and surveillance activities as well as more timely larval and adult mosquito control. We adapted the spatial scan statistic for prospective detection of infectious disease outbreaks, applied the results to data on dead birds reported from New York City in 2000, and reviewed its utility in providing an early warning of WNV activity in 2001. Prospective geographic cluster analysis of dead bird reports may provide early warning of increasing viral activity in birds and mosquitoes, allowing jurisdictions to triage limited mosquito-collection and laboratory resources and more effectively prevent human disease caused by the virus. This adaptation of the scan statistic could also be useful in other infectious disease surveillance systems, including that for bioterrorism. Centers for Disease Control and Prevention 2003-06 /pmc/articles/PMC3000152/ /pubmed/12781002 http://dx.doi.org/10.3201/eid0906.020794 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
Mostashari, Farzad
Kulldorff, Martin
Hartman, Jessica J.
Miller, James R.
Kulasekera, Varuni
Dead Bird Clusters as an Early Warning System for West Nile Virus Activity
title Dead Bird Clusters as an Early Warning System for West Nile Virus Activity
title_full Dead Bird Clusters as an Early Warning System for West Nile Virus Activity
title_fullStr Dead Bird Clusters as an Early Warning System for West Nile Virus Activity
title_full_unstemmed Dead Bird Clusters as an Early Warning System for West Nile Virus Activity
title_short Dead Bird Clusters as an Early Warning System for West Nile Virus Activity
title_sort dead bird clusters as an early warning system for west nile virus activity
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3000152/
https://www.ncbi.nlm.nih.gov/pubmed/12781002
http://dx.doi.org/10.3201/eid0906.020794
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