Cargando…
Early Warning System for West Nile Virus Risk Areas, California, USA
The Dynamic Continuous-Area Space-Time (DYCAST) system is a biologically based spatiotemporal model that uses public reports of dead birds to identify areas at high risk for West Nile virus (WNV) transmission to humans. In 2005, during a statewide epidemic of WNV (880 cases), the California Departme...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3381548/ https://www.ncbi.nlm.nih.gov/pubmed/21801622 http://dx.doi.org/10.3201/eid1708.100411 |
_version_ | 1782236415685296128 |
---|---|
author | Carney, Ryan M. Ahearn, Sean C. McConchie, Alan Glaser, Carol Jean, Cynthia Barker, Chris Park, Bborie Padgett, Kerry Parker, Erin Aquino, Ervic Kramer, Vicki |
author_facet | Carney, Ryan M. Ahearn, Sean C. McConchie, Alan Glaser, Carol Jean, Cynthia Barker, Chris Park, Bborie Padgett, Kerry Parker, Erin Aquino, Ervic Kramer, Vicki |
author_sort | Carney, Ryan M. |
collection | PubMed |
description | The Dynamic Continuous-Area Space-Time (DYCAST) system is a biologically based spatiotemporal model that uses public reports of dead birds to identify areas at high risk for West Nile virus (WNV) transmission to humans. In 2005, during a statewide epidemic of WNV (880 cases), the California Department of Public Health prospectively implemented DYCAST over 32,517 km(2) in California. Daily risk maps were made available online and used by local agencies to target public education campaigns, surveillance, and mosquito control. DYCAST had 80.8% sensitivity and 90.6% specificity for predicting human cases, and κ analysis indicated moderate strength of chance-adjusted agreement for >4 weeks. High-risk grid cells (populations) were identified an average of 37.2 days before onset of human illness; relative risk for disease was >39× higher than for low-risk cells. Although prediction rates declined in subsequent years, results indicate DYCAST was a timely and effective early warning system during the severe 2005 epidemic. |
format | Online Article Text |
id | pubmed-3381548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-33815482012-06-28 Early Warning System for West Nile Virus Risk Areas, California, USA Carney, Ryan M. Ahearn, Sean C. McConchie, Alan Glaser, Carol Jean, Cynthia Barker, Chris Park, Bborie Padgett, Kerry Parker, Erin Aquino, Ervic Kramer, Vicki Emerg Infect Dis Research The Dynamic Continuous-Area Space-Time (DYCAST) system is a biologically based spatiotemporal model that uses public reports of dead birds to identify areas at high risk for West Nile virus (WNV) transmission to humans. In 2005, during a statewide epidemic of WNV (880 cases), the California Department of Public Health prospectively implemented DYCAST over 32,517 km(2) in California. Daily risk maps were made available online and used by local agencies to target public education campaigns, surveillance, and mosquito control. DYCAST had 80.8% sensitivity and 90.6% specificity for predicting human cases, and κ analysis indicated moderate strength of chance-adjusted agreement for >4 weeks. High-risk grid cells (populations) were identified an average of 37.2 days before onset of human illness; relative risk for disease was >39× higher than for low-risk cells. Although prediction rates declined in subsequent years, results indicate DYCAST was a timely and effective early warning system during the severe 2005 epidemic. Centers for Disease Control and Prevention 2011-08 /pmc/articles/PMC3381548/ /pubmed/21801622 http://dx.doi.org/10.3201/eid1708.100411 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 Carney, Ryan M. Ahearn, Sean C. McConchie, Alan Glaser, Carol Jean, Cynthia Barker, Chris Park, Bborie Padgett, Kerry Parker, Erin Aquino, Ervic Kramer, Vicki Early Warning System for West Nile Virus Risk Areas, California, USA |
title | Early Warning System for West Nile Virus Risk Areas, California, USA |
title_full | Early Warning System for West Nile Virus Risk Areas, California, USA |
title_fullStr | Early Warning System for West Nile Virus Risk Areas, California, USA |
title_full_unstemmed | Early Warning System for West Nile Virus Risk Areas, California, USA |
title_short | Early Warning System for West Nile Virus Risk Areas, California, USA |
title_sort | early warning system for west nile virus risk areas, california, usa |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3381548/ https://www.ncbi.nlm.nih.gov/pubmed/21801622 http://dx.doi.org/10.3201/eid1708.100411 |
work_keys_str_mv | AT carneyryanm earlywarningsystemforwestnilevirusriskareascaliforniausa AT ahearnseanc earlywarningsystemforwestnilevirusriskareascaliforniausa AT mcconchiealan earlywarningsystemforwestnilevirusriskareascaliforniausa AT glasercarol earlywarningsystemforwestnilevirusriskareascaliforniausa AT jeancynthia earlywarningsystemforwestnilevirusriskareascaliforniausa AT barkerchris earlywarningsystemforwestnilevirusriskareascaliforniausa AT parkbborie earlywarningsystemforwestnilevirusriskareascaliforniausa AT padgettkerry earlywarningsystemforwestnilevirusriskareascaliforniausa AT parkererin earlywarningsystemforwestnilevirusriskareascaliforniausa AT aquinoervic earlywarningsystemforwestnilevirusriskareascaliforniausa AT kramervicki earlywarningsystemforwestnilevirusriskareascaliforniausa |