West Nile Virus Isolates from Mosquitoes in New York and New Jersey, 1999

Nasci, Roger S.; White, Dan S.; Stirling, Helen; Oliver, JoAnne; Daniels, Thomas J.; Falco, Richard C.; Campbell, Scott R.; Crans, W. J.; Savage, Harry M.; Lanciotti, Robert S.; Moore, Chester G.; Godsey, Marvin S.; Gottfried, Kristy L.; Mitchell, Carl J.

doi:10.3201/eid0704.010404

Cited by 81 publications

(48 citation statements)

References 13 publications

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“…p. pipiens was incriminated as the primary vector responsible for WN virus outbreaks in the United States in 1999 and 2000 (Nasci et al 2001b, MarÞn et al 2001. In Arkansas, Cx.…”

Section: Discussionmentioning

confidence: 98%

Initiating Arbovirus Surveillance in Arkansas, 2001

Kent

Lacer

Meisch

2003

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Migratory birds could introduce West Nile (WN) virus to Arkansas. The purpose of this study was to establish a cooperative arbovirus surveillance program to monitor mosquitoes and birds in Arkansas for arboviruses. Our objectives were to: 1) perform routine, multicounty collections of mosquitoes and test them for eastern equine encephalitis, St. Louis encephalitis, and WN viruses; and 2) conduct passive surveillance by testing dead wild birds for WN virus. Arbovirus surveillance was organized by the Arkansas Department of Health, University of Arkansas, and Vector Disease Control Incorporated. None of the 14,560 mosquitoes (425 pools) tested were virus positive. Two hundred forty-two dead birds from 62 counties were tested for WN virus. Four blue jays in three counties were positive. These infections are the first reported incidences of WN virus in Arkansas. Sera from five horses with suspected encephalitis all tested negative for WN, eastern equine encephalitis, and western equine encephalitis viruses.

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“…p. pipiens was incriminated as the primary vector responsible for WN virus outbreaks in the United States in 1999 and 2000 (Nasci et al 2001b, MarÞn et al 2001. In Arkansas, Cx.…”

Section: Discussionmentioning

confidence: 98%

Initiating Arbovirus Surveillance in Arkansas, 2001

Kent

Lacer

Meisch

2003

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“…From 2006–2008, mosquito pools were processed by CDC Division of Vector-Borne Diseases personnel for the presence of WNV RNA as described previously (Lanciotti et al 2000, Nasci et al 2001b). From 2009–2013, mosquito pools were processed by the Colorado State University Arthropod-Borne and Infectious Diseases Laboratory using the following methodology.…”

Section: Methodsmentioning

confidence: 99%

Temporal and Spatial Variability of Entomological Risk Indices for West Nile Virus Infection in Northern Colorado: 2006–2013

Fauver¹,

Pecher

Schurich³

et al. 2015

J Med Entomol

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West Nile virus (WNV) is enzootic in northern Colorado. Annual surveillance activities in Fort Collins, CO, include collecting female Culex mosquitoes and testing them for the presence of WNV RNA in order to calculate 1) Culex female abundance, 2) WNV infection rate, and 3) the vector index (VI). These entomological risk indices inform public policy regarding the need for emergency adulticiding. Currently, these are calculated on a citywide basis. In this study, we present descriptive data from historical surveillance records spanning 2006–2013 to discern seasonal and yearly patterns of entomological risk for WNV infection. Also, we retrospectively test the hypothesis that entomological risk is correlated with human transmission risk and is heterogeneous within the City of Fort Collins. Four logistically relevant zones within the city were established and used to test this hypothesis. Zones in the eastern portion of the city consistently had significantly higher Culex abundance and VI compared with zones in the west, leading to higher entomological risk indicators for human WNV infection in the east. Moreover, the relative risk of a reported human case of WNV infection was significantly higher in the eastern zones of the city. Our results suggest that a more spatially targeted WNV management program may better mitigate human risk for WNV infection in Fort Collins, and possibly other cities where transmission is enzootic, while at the same time reducing pesticide use.

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“…pipiens-restuans is an important vector that is likely involved in both early season enzootic transmission and late season epizootic amplification of WNv in North America, whereas Ae. vexans is a possible bridge vector of the virus to humans (Turell et al 2000, Nasci et al 2001, Andreadis et al 2004, Turell et al 2005. Although the effects of temperature on the rate of mosquito development are well understood in general, these effects have not been quantified for specific mosquito species in the field.…”

Section: Figmentioning

confidence: 99%

Meteorologically Conditioned Time-Series Predictions of West Nile Virus Vector Mosquitoes

Trawinski

Mackay

2008

Vector-Borne and Zoonotic Diseases

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An empirical model to forecast West Nile virus mosquito vector populations is developed using time series analysis techniques. Specifically, multivariate seasonal autoregressive integrated moving average (SARIMA) models were developed for Aedes vexans and the combined group of Culex pipiens and Culex restuans in Erie County, New York. Weekly mosquito collections data were obtained for the four mosquito seasons from 2002 to 2005 from the Erie County Department of Health, Vector and Pest Control Program. Climate variables were tested for significance with cross-correlation analysis. Minimum temperature (T(min)), maximum temperature (T(max)), average temperature (T(ave)), precipitation (P), relative humidity (R(H)), and evapotranspiration (E(T)) were acquired from the Northeast Regional Climate Center (NRCC) at Cornell University. Weekly averages or sums of climate variables were calculated from the daily data. Other climate indexes were calculated and were tested for significance with the mosquito population data, including cooling degree days base 60 degrees (C(DD_60)), cooling degree days base 63 (C(DD_63)), cooling degree days base 65 (C(DD_65)), a ponding index (I(P)), and an interactive C(DD_65)-precipitation variable (C(DD_65) x P(week_4)). Ae. vexans were adequately modeled with a (2,1,1)(1,1,0)(52) SARIMA model. The combined group of Culex pipiens-restuans were modeled with a (0,1,1)(1,1,0)(52) SARIMA model. The most significant meteorological variables for forecasting Aedes vexans abundance was the interactive C(DD_65) x P(week_4) variable at a lag of two weeks, E(T) x E(T) at a lag of five weeks, and C(DD_65) x C(DD_65) at a lag of seven weeks. The most significant predictive variables for the grouped Culex pipiens-restuans were C(DD_63) x C(DD_63) at a lag of zero weeks, C(DD_63) at a lag of eight weeks, and the cumulative maximum ponding index (I(Pcum)) at a lag of zero weeks.

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West Nile Virus Isolates from Mosquitoes in New York and New Jersey, 1999

Cited by 81 publications

References 13 publications

Initiating Arbovirus Surveillance in Arkansas, 2001

Initiating Arbovirus Surveillance in Arkansas, 2001

Temporal and Spatial Variability of Entomological Risk Indices for West Nile Virus Infection in Northern Colorado: 2006–2013

Meteorologically Conditioned Time-Series Predictions of West Nile Virus Vector Mosquitoes

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