Literature DB >> 30615572

Influence of Demography, Land Use, and Urban Form on West Nile Virus Risk and Human West Nile Virus Incidence in Ottawa, Canada.

Benoit Talbot1, Mark Ardis2, Manisha A Kulkarni1.   

Abstract

Human infection by West Nile virus (WNV; family Flaviviridae), in some cases, develops into a deadly neuroinvasive disease. WNV risk is thought to be influenced by factors affecting the density of species that promote replication and transmission of the virus, namely peridomestic bird and mosquito species. Factors influencing contact between peridomestic bird and mosquito species and contact between infected mosquitoes and vulnerable human populations may also be important in determining WNV risk in an area. Several urban form and demographic factors, such as population density and the proportion of aged housing units, have been linked with increased WNV risk. Other factors, such as proportion of old-growth forest and wetlands, have been linked to decreased WNV risk. In this study, we aimed to test the effect of several demographic, land use, and urban form variables on WNV risk within neighborhoods of the city of Ottawa, Canada, based on the spatiotemporal clustering of infected mosquitoes and human WNV cases. We found a large positive effect of population density and proportion of aged housing units on WNV risk, using both entomological and epidemiological data. Interestingly, we found a large negative effect of proportion of natural areas in our epidemiological analysis, but not in our entomological analysis. Although our epidemiological data set was relatively small, these results suggest entomological surveillance results should be interpreted alongside other factors when investigating risk to humans. Our study is also one of the few to suggest an effect of demography, land use, and urban form on WNV risk in a Canadian urban center, using both entomological and epidemiological data.

Entities:  

Keywords:  demography; disease ecology; land cover; spatial epidemiology

Year:  2019        PMID: 30615572     DOI: 10.1089/vbz.2018.2366

Source DB:  PubMed          Journal:  Vector Borne Zoonotic Dis        ISSN: 1530-3667            Impact factor:   2.133


  4 in total

1.  Can local risk of West Nile virus infection be predicted from previous cases? A descriptive study in Quebec, 2011-2016.

Authors:  Jean-Philippe Rocheleau; Serge-Olivier Kotchi; Julie Arsenault
Journal:  Can J Public Health       Date:  2020-02-04

2.  Seroprevalence and Risk Factors for Equine West Nile Virus Infections in Eastern Germany, 2020.

Authors:  Stefanie Ganzenberg; Michael Sieg; Ute Ziegler; Martin Pfeffer; Thomas W Vahlenkamp; Uwe Hörügel; Martin H Groschup; Katharina L Lohmann
Journal:  Viruses       Date:  2022-05-30       Impact factor: 5.818

3.  Enhanced West Nile Virus Circulation in the Emilia-Romagna and Lombardy Regions (Northern Italy) in 2018 Detected by Entomological Surveillance.

Authors:  Mattia Calzolari; Paola Angelini; Luca Bolzoni; Paolo Bonilauri; Roberto Cagarelli; Sabrina Canziani; Danilo Cereda; Monica Pierangela Cerioli; Mario Chiari; Giorgio Galletti; Giovenale Moirano; Marco Tamba; Deborah Torri; Tiziana Trogu; Alessandro Albieri; Romeo Bellini; Davide Lelli
Journal:  Front Vet Sci       Date:  2020-05-05

4.  Spatial patterns of West Nile virus distribution in the Volgograd region of Russia, a territory with long-existing foci.

Authors:  Natalia Shartova; Varvara Mironova; Svetlana Zelikhina; Fedor Korennoy; Mikhail Grishchenko
Journal:  PLoS Negl Trop Dis       Date:  2022-01-31
  4 in total

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