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Factors associated with human West Nile virus infection in Ontario: a generalized linear mixed modelling approach

BACKGROUND: West Nile Virus (WNV) is a mosquito-borne pathogen that has become established in North America. Risk for human infection varies geographically in accordance with climate and population factors. Though often asymptomatic, human WNV infection can cause febrile illness or, rarely, neurolog...

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Autores principales: Mallya, Shruti, Sander, Beate, Roy-Gagnon, Marie-Hélène, Taljaard, Monica, Jolly, Ann, Kulkarni, Manisha A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872497/
https://www.ncbi.nlm.nih.gov/pubmed/29587649
http://dx.doi.org/10.1186/s12879-018-3052-6
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author Mallya, Shruti
Sander, Beate
Roy-Gagnon, Marie-Hélène
Taljaard, Monica
Jolly, Ann
Kulkarni, Manisha A.
author_facet Mallya, Shruti
Sander, Beate
Roy-Gagnon, Marie-Hélène
Taljaard, Monica
Jolly, Ann
Kulkarni, Manisha A.
author_sort Mallya, Shruti
collection PubMed
description BACKGROUND: West Nile Virus (WNV) is a mosquito-borne pathogen that has become established in North America. Risk for human infection varies geographically in accordance with climate and population factors. Though often asymptomatic, human WNV infection can cause febrile illness or, rarely, neurologic disease. WNV has become a public health concern in Canada since its introduction in 2001. METHODS: To identify predictors of human WNV incidence at the public health unit (PHU) level in Ontario, Canada, we combined data on environmental and population characteristics of PHUs with historical mosquito and human surveillance records from 2002 to 2013. We examined the associations between annual WNV incidence and monthly climate indices (e.g. minimum and maximum temperature, average precipitation), land cover (e.g. deciduous forest, water), population structure (e.g. age and sex composition) and the annual percentage of WNV-positive mosquito pools from 2002 to 2013. We then developed a generalized linear mixed model with a Poisson distribution adjusting for spatial autocorrelation and repeat measures. Further to this, to examine potential ‘early season’ predictors of WNV incidence in a given year, we developed a model based on winter and spring monthly climate indices. RESULTS: Several climate indices, including mean minimum temperature ((o) C) in February (RR = 1.58, CI: [1.42, 1.75]), and the annual percentage of WNV-positive mosquito pools (RR = 1.07, CI: [1.04, 1.11]) were significantly associated with human WNV incidence at the PHU level. Higher winter minimum temperatures were also strongly associated with annual WNV incidence in the ‘early season’ model (e.g. February minimum temperature (RR = 1.91, CI: [1.73, 2.12]). CONCLUSIONS: Our study demonstrates that early season temperature and precipitation indices, in addition to the percentage of WNV-positive mosquito pools in a given area, may assist in predicting the likelihood of a more severe human WNV season in southern regions of Ontario, where WNV epidemics occur sporadically. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-018-3052-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-58724972018-04-02 Factors associated with human West Nile virus infection in Ontario: a generalized linear mixed modelling approach Mallya, Shruti Sander, Beate Roy-Gagnon, Marie-Hélène Taljaard, Monica Jolly, Ann Kulkarni, Manisha A. BMC Infect Dis Research Article BACKGROUND: West Nile Virus (WNV) is a mosquito-borne pathogen that has become established in North America. Risk for human infection varies geographically in accordance with climate and population factors. Though often asymptomatic, human WNV infection can cause febrile illness or, rarely, neurologic disease. WNV has become a public health concern in Canada since its introduction in 2001. METHODS: To identify predictors of human WNV incidence at the public health unit (PHU) level in Ontario, Canada, we combined data on environmental and population characteristics of PHUs with historical mosquito and human surveillance records from 2002 to 2013. We examined the associations between annual WNV incidence and monthly climate indices (e.g. minimum and maximum temperature, average precipitation), land cover (e.g. deciduous forest, water), population structure (e.g. age and sex composition) and the annual percentage of WNV-positive mosquito pools from 2002 to 2013. We then developed a generalized linear mixed model with a Poisson distribution adjusting for spatial autocorrelation and repeat measures. Further to this, to examine potential ‘early season’ predictors of WNV incidence in a given year, we developed a model based on winter and spring monthly climate indices. RESULTS: Several climate indices, including mean minimum temperature ((o) C) in February (RR = 1.58, CI: [1.42, 1.75]), and the annual percentage of WNV-positive mosquito pools (RR = 1.07, CI: [1.04, 1.11]) were significantly associated with human WNV incidence at the PHU level. Higher winter minimum temperatures were also strongly associated with annual WNV incidence in the ‘early season’ model (e.g. February minimum temperature (RR = 1.91, CI: [1.73, 2.12]). CONCLUSIONS: Our study demonstrates that early season temperature and precipitation indices, in addition to the percentage of WNV-positive mosquito pools in a given area, may assist in predicting the likelihood of a more severe human WNV season in southern regions of Ontario, where WNV epidemics occur sporadically. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-018-3052-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-27 /pmc/articles/PMC5872497/ /pubmed/29587649 http://dx.doi.org/10.1186/s12879-018-3052-6 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Mallya, Shruti
Sander, Beate
Roy-Gagnon, Marie-Hélène
Taljaard, Monica
Jolly, Ann
Kulkarni, Manisha A.
Factors associated with human West Nile virus infection in Ontario: a generalized linear mixed modelling approach
title Factors associated with human West Nile virus infection in Ontario: a generalized linear mixed modelling approach
title_full Factors associated with human West Nile virus infection in Ontario: a generalized linear mixed modelling approach
title_fullStr Factors associated with human West Nile virus infection in Ontario: a generalized linear mixed modelling approach
title_full_unstemmed Factors associated with human West Nile virus infection in Ontario: a generalized linear mixed modelling approach
title_short Factors associated with human West Nile virus infection in Ontario: a generalized linear mixed modelling approach
title_sort factors associated with human west nile virus infection in ontario: a generalized linear mixed modelling approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5872497/
https://www.ncbi.nlm.nih.gov/pubmed/29587649
http://dx.doi.org/10.1186/s12879-018-3052-6
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