Colorado State University lacked state permit to capture crows for West Nile virus studies

This autumn, approximately 100 scientists and students from the Rocky Mountain area along with invited speakers attended the 18th annual meeting of the Rocky Mountain Virology Association that was held at the Colorado State University Mountain Campus. The two-day gathering featured 31 talks and 33 posters all of which focused on specific areas of current virology and prion protein research.

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Colorado State University lacked state permit to capture crows for West Nile virus studies. PETA asks Colorado State University researchers to stop infecting birds with West Nile virus By.

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The resulting loss of water pressure was reported to the Colorado Department of Public Health and Environment (CDPHE) and, in accordance with state regulations, the Denver-based department issued the boil-water order and also instructed the Delta County Department of Health, Environmental Health Division to notify Paonia food-handling.

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Garmendia AE, Van Kruiningen HH, French RA, Anderson JF, significantly reduced when compared with peak months (B. Andreadis RG, Kuman A, West B, 2000. Recovery and iden- Bolling, Colorado State University, unpublished data). Mos- tification of West Nile virus from a hawk in winter.

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Differential virulence of West Nile virus and st. louis encephalitis virus in house finches, house sparrows and American crows. California HOFIs inoculated with SLEV/ IMP115 produced significantly lower (p<0.05) daily mean titers in comparison with SLEV-prME/WNV.IC and WNV.IC .

Dead bird surveillance is an effective way to monitor the presence and spread of West Nile virus (WNV) in North America (1), and assays to detect infectious WNV virions, antigen, and RNA in tissues from infected birds are reliable techniques (2-4).

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To determine whether environmental surveillance of West Nile virus-positive dead birds, mosquito pools, equines, and sentinel chickens helped predict human cases in metropolitan Denver, Colorado, during 2003, we analyzed human surveillance data and environmental data. Birds successfully predicted.

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