Developing operational algorithms using linear and non-linear squares estimation in Python® for the identification of Culex pipiens and Culex restuans in a mosquito abatement district (Cook County, Illinois, USA)

Jacob, Benjamin G. and Gu, Weidong and Caamano, Erik X. and Novak, Robert J. (2009) Developing operational algorithms using linear and non-linear squares estimation in Python® for the identification of Culex pipiens and Culex restuans in a mosquito abatement district (Cook County, Illinois, USA). Geospatial health , 3 (2). pp. 157-176. ISSN 1970-7096

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Abstract

In this research, community level spatial models were developed for determining mosquito abundance and environmental factors that could aid in the risk prediction of West Nile virus (WNv) outbreaks. Adult Culex pipiens and Culex restuan mosquitoes and multiple habitat covariates were collected from nine sites within Cook County, Illinois, USA, to provide spatio-temporal information on the abundance of WNv vectors from 2002 to 2005. Regression analyses of the sampled covariates revealed that the adult Culex population was positively associated with temperature throughout the sampling frame. The model output also indicated that precipitation was negatively associated to mosquito abundance in 2002, 2003 and 2005 (P <0.05), but positively associated in 2004 (P <0.05). A land use land cover classification, based on QuickBird visible and near infra-red data, acquired at 0.61 m resolution, was used to investigate possible associations between geographical features and the abundance of sampled Culex oviposition surveillance sites. A maximum likelihood unsupervised classification in ArcInfo 9.2® revealed that the highest overall mosquito abundance was found in sites having a low-to-moderate range of built environment (40%) and high forest composition. A set of propagation equations were then designed to model the calibration uncertainties, which revealed that normalized difference vegetation index (NDVI), and two NDVI variants, were informative markers for the sampled mosquito data. Spatial dependence of the covariates of Cx. restuans and Cx. pipiens oviposition sites were indexed using semivariograms, which suggested that all main effects of the explanatory variables were statistically significant in the model. Additionally, a multispectral classification and digital elevation model-based geographical information system method were able to evaluate stream flow direction and accumulation for identification of terrain covariates associated with the sampled habitat data. These results demonstrate that remotely sensed operational indices can be used to identify parameters associated with field-sampled Cx. pipiens and Cx. restuans aquatic habitats.

Item Type: Article
Uncontrolled Keywords: West Nile virus, Culex pipiens, Culex restuans, geographical information system, QuickBird
Subjects: 600 Tecnologia - Scienze applicate > 610 Medicina e salute (Classificare qui la tecnologia dei servizi medici) > 614 Medicina legale; incidenza delle malattie; Medicina preventiva pubblica > 614.4 Incidenza delle malattie e misure pubblica per prevenirle (classificare qui l'Epidemiologia, l'Epidemiologia clinica) > 614.43 Vettori di malattie e malattie trasmesse attraverso l’acqua (classificare qui il controllo delle infezioni che portano malattie) > 614.432 Incidenza delle malattie e misure pubbliche per prevenirle. Vettori di malattie e malattie trasmesse attraverso l’acqua. Insetti > 614.4323 Zanzare
600 Tecnologia - Scienze applicate > 610 Medicina e salute (Classificare qui la tecnologia dei servizi medici) > 616 Malattie (classificare qui la Clinica medica, la medicina basata sull'evidenza, la Medicina interna, la Medicina sperimentale) > 616.9 Altre malattie (altri rami della Medicina) > 616.91 Malattie da virus > 616.918 Infezioni da virus a RNA (include la febbre da zecche del Colorado, la febbre della Valle del Rift, le infezioni da Hantavirus) > 616.9185 Infezioni da Flavivirus > 616.91856 Febbre del Nilo Occidentale
900 Storia, Geografia e discipline ausiliarie > 910 Geografia e viaggi > 910.285 Geographic information systems
Depositing User: biblioteca 7
Date Deposited: 08 Jul 2010 09:56
Last Modified: 08 Jul 2010 09:56
URI: http://eprints.bice.rm.cnr.it/id/eprint/2868

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