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Environ Ecol Stat (2014) 21:651666
DOI 10.1007/s10651-014-0273-8
Received: 22 September 2012 / Revised: 6 January 2014 / Published online: 23 January 2014 Springer Science+Business Media New York 2014
Abstract Understanding the spatialtemporal distribution of vector mosquitoes is essential in designing an efcient mosquito control strategy to reduce the risk of the mosquito-borne disease. In this paper, we apply a non-parametric clustering method, CLUES, to the surveillance data of West Nile virus vector mosquitoes collected by light traps in Peel Region, Ontario, during the mosquito seasons in 20042010. In order to obtain robust and reliable results, a statistical smoothing procedure LOWESS is applied to the original time series data. It was found that the mosquito trap sites can be clustered into three groups. The weather impact on the mosquito abundance
Handling Editor: Pierre Dutilleul.
This work was supported by an Early Researcher Award of Ontario, the Pilot Infectious Disease Impact and Response Systems Program of Public Health Agency of Canada (PHAC), Natural Sciences and Engineering Research Council (NSERC) of Canada and Canadian Foundation of Innovations (CFI).
X. Wang J. Wang H. Zhu (B)
LAMPS, Department of Mathematics and Statistics, York University, Toronto, ON, Canada e-mail: [email protected]
C. Russell
Enteric, Zoonotic and Vector-Borne Diseases, Public Health Ontario, Toronto, ON, Canada
P. Proctor
Environmental Health, Vector-Borne Diseases Team, Region of Peel, ON, Canada
R. Bello
Department of Geography, York University, Toronto, ON, Canada
K. Higuchi
Faculty of Environmental Studies, York University, Toronto, ON, Canada
K. Higuchi
Adaptation and Impacts Research Section, Environment Canada, Toronto, ON, Canada
Clustering of the abundance of West Nile virus vector mosquitoes in Peel Region, Ontario, Canada
Xiaogang Wang Jiafeng Wang Curtis Russell
Paul Proctor Richard Bello Kaz Higuchi
Huaiping Zhu
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of each clustered group are similar, while the interannual variability and the highest abundance and peak time in each mosquito season are different. The impact of weather factors on this clustering is investigated.
Keywords Abundance Automatic clustering Culex pipiens/restuans mosquitoes
k-Nearest neighbors Local shrinking Precipitation Temperature
1 Introduction
Mosquitoes can carry many diseases, such as malaria, dengue fever, Rift valley fever, West Nile virus (WNV), yellow fever, etc.. To reduce the risk of an outbreak, mosquito abundance is monitored in the interested areas during the mosquito...
