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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.
Afiliación
  • Mallya S; School of Epidemiology & Public Health, University of Ottawa, 600 Peter Morand Cres, Ottawa, ON, Canada.
  • Sander B; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada.
  • Roy-Gagnon MH; Public Health Ontario, Toronto, ON, Canada.
  • Taljaard M; Institute for Clinical and Evaluative Sciences, Toronto, ON, Canada.
  • Jolly A; School of Epidemiology & Public Health, University of Ottawa, 600 Peter Morand Cres, Ottawa, ON, Canada.
  • Kulkarni MA; School of Epidemiology & Public Health, University of Ottawa, 600 Peter Morand Cres, Ottawa, ON, Canada.
BMC Infect Dis ; 18(1): 141, 2018 03 27.
Article en En | MEDLINE | ID: mdl-29587649
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Fiebre del Nilo Occidental Tipo de estudio: Etiology_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies Límite: Animals / Humans País/Región como asunto: America do norte Idioma: En Revista: BMC Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2018 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Fiebre del Nilo Occidental Tipo de estudio: Etiology_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies Límite: Animals / Humans País/Región como asunto: America do norte Idioma: En Revista: BMC Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2018 Tipo del documento: Article País de afiliación: Canadá