Predicting outbreaks: a spatial risk assessment of West Nile virus in British Columbia

Background: West Nile virus (WNv) has recently emerged as a health threat to the North American population. After the initial disease outbreak in New York City in 1999, WNv has spread widely and quickly across North America to every contiguous American state and Canadian province, with the exception...

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Published in:International Journal of Health Geographics
Main Authors: Tachiiri, Kaoru, Klinkenberg, Brian, Mak, Sunny, Kazmi, Jamil
Format: Article in Journal/Newspaper
Language:English
Published: BioMed Central 2006
Subjects:
Online Access:http://hdl.handle.net/2429/56956
https://doi.org/10.1186/1476-072X-5-21
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spelling ftunivbritcolcir:oai:circle.library.ubc.ca:2429/56956 2023-05-15T17:22:56+02:00 Predicting outbreaks: a spatial risk assessment of West Nile virus in British Columbia Tachiiri, Kaoru Klinkenberg, Brian Mak, Sunny Kazmi, Jamil 2006-05-16 http://hdl.handle.net/2429/56956 https://doi.org/10.1186/1476-072X-5-21 eng eng BioMed Central Attribution 4.0 International (CC BY 4.0) http://creativecommons.org/licenses/by/4.0/ Tachiiri et al. CC-BY Text Article 2006 ftunivbritcolcir https://doi.org/10.1186/1476-072X-5-21 2019-10-15T18:17:59Z Background: West Nile virus (WNv) has recently emerged as a health threat to the North American population. After the initial disease outbreak in New York City in 1999, WNv has spread widely and quickly across North America to every contiguous American state and Canadian province, with the exceptions of British Columbia (BC), Prince Edward Island and Newfoundland. In this study we develop models of mosquito population dynamics for Culex tarsalis and C. pipiens, and create a spatial risk assessment of WNv prior to its arrival in BC by creating a raster-based mosquito abundance model using basic geographic and temperature data. Among the parameters included in the model are spatial factors determined from the locations of BC Centre for Disease Control mosquito traps (e.g., distance of the trap from the closest wetland or lake), while other parameters were obtained from the literature. Factors not considered in the current assessment but which could influence the results are also discussed. Results: Since the model performs much better for C. tarsalis than for C. pipiens, the risk assessment is carried out using the output of C. tarsalis model. The result of the spatially-explicit mosquito abundance model indicates that the Okanagan Valley, the Thompson Region, Greater Vancouver, the Fraser Valley and southeastern Vancouver Island have the highest potential abundance of the mosquitoes. After including human population data, Greater Vancouver, due to its high population density, increases in significance relative to the other areas. Conclusion: Creating a raster-based mosquito abundance map enabled us to quantitatively evaluate WNv risk throughout BC and to identify the areas of greatest potential risk, prior to WNv introduction. In producing the map important gaps in our knowledge related to mosquito ecology in BC were identified, as well, it became evident that increased efforts in bird and mosquito surveillance are required if more accurate models and maps are to be produced. Access to real time climatic data is the key for developing a real time early warning system for forecasting vector borne disease outbreaks, while including social factors is important when producing a detailed assessment in urban areas. Arts, Faculty of Geography, Department of Non UBC Reviewed Faculty Article in Journal/Newspaper Newfoundland Prince Edward Island University of British Columbia: cIRcle - UBC's Information Repository International Journal of Health Geographics 5 1 21
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collection University of British Columbia: cIRcle - UBC's Information Repository
op_collection_id ftunivbritcolcir
language English
description Background: West Nile virus (WNv) has recently emerged as a health threat to the North American population. After the initial disease outbreak in New York City in 1999, WNv has spread widely and quickly across North America to every contiguous American state and Canadian province, with the exceptions of British Columbia (BC), Prince Edward Island and Newfoundland. In this study we develop models of mosquito population dynamics for Culex tarsalis and C. pipiens, and create a spatial risk assessment of WNv prior to its arrival in BC by creating a raster-based mosquito abundance model using basic geographic and temperature data. Among the parameters included in the model are spatial factors determined from the locations of BC Centre for Disease Control mosquito traps (e.g., distance of the trap from the closest wetland or lake), while other parameters were obtained from the literature. Factors not considered in the current assessment but which could influence the results are also discussed. Results: Since the model performs much better for C. tarsalis than for C. pipiens, the risk assessment is carried out using the output of C. tarsalis model. The result of the spatially-explicit mosquito abundance model indicates that the Okanagan Valley, the Thompson Region, Greater Vancouver, the Fraser Valley and southeastern Vancouver Island have the highest potential abundance of the mosquitoes. After including human population data, Greater Vancouver, due to its high population density, increases in significance relative to the other areas. Conclusion: Creating a raster-based mosquito abundance map enabled us to quantitatively evaluate WNv risk throughout BC and to identify the areas of greatest potential risk, prior to WNv introduction. In producing the map important gaps in our knowledge related to mosquito ecology in BC were identified, as well, it became evident that increased efforts in bird and mosquito surveillance are required if more accurate models and maps are to be produced. Access to real time climatic data is the key for developing a real time early warning system for forecasting vector borne disease outbreaks, while including social factors is important when producing a detailed assessment in urban areas. Arts, Faculty of Geography, Department of Non UBC Reviewed Faculty
format Article in Journal/Newspaper
author Tachiiri, Kaoru
Klinkenberg, Brian
Mak, Sunny
Kazmi, Jamil
spellingShingle Tachiiri, Kaoru
Klinkenberg, Brian
Mak, Sunny
Kazmi, Jamil
Predicting outbreaks: a spatial risk assessment of West Nile virus in British Columbia
author_facet Tachiiri, Kaoru
Klinkenberg, Brian
Mak, Sunny
Kazmi, Jamil
author_sort Tachiiri, Kaoru
title Predicting outbreaks: a spatial risk assessment of West Nile virus in British Columbia
title_short Predicting outbreaks: a spatial risk assessment of West Nile virus in British Columbia
title_full Predicting outbreaks: a spatial risk assessment of West Nile virus in British Columbia
title_fullStr Predicting outbreaks: a spatial risk assessment of West Nile virus in British Columbia
title_full_unstemmed Predicting outbreaks: a spatial risk assessment of West Nile virus in British Columbia
title_sort predicting outbreaks: a spatial risk assessment of west nile virus in british columbia
publisher BioMed Central
publishDate 2006
url http://hdl.handle.net/2429/56956
https://doi.org/10.1186/1476-072X-5-21
genre Newfoundland
Prince Edward Island
genre_facet Newfoundland
Prince Edward Island
op_rights Attribution 4.0 International (CC BY 4.0)
http://creativecommons.org/licenses/by/4.0/
Tachiiri et al.
op_rightsnorm CC-BY
op_doi https://doi.org/10.1186/1476-072X-5-21
container_title International Journal of Health Geographics
container_volume 5
container_issue 1
container_start_page 21
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