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Record W6958904 · doi:10.5070/v422110250

West Nile Virus in North American Wildlife

2006· article· en· W6958904 on OpenAlexaboutno aff
G. McLean Robert

Bibliographic record

VenueProceedings - Vertebrate Pest Conference · 2006
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsnot available
Fundersnot available
KeywordsWest Nile virusOutbreakGeographyWildlifeBird migrationBiologyEcologyVirusVirology

Abstract

fetched live from OpenAlex

Since the invasion of the mosquito-borne, West Nile virus (WNv) into North America in New York City (NYC) in 1999, the distribution of the virus has expanded throughout most of the continent during the ensuing years, causing mortality in hundreds of thousands of native and exotic birds and producing tens of thousands of equine and human cases. The initial outbreaks in the NYC area in 1999 were intense in local bird populations, with small outbreaks in humans and equines. Then, WNv spread north and south from this focal area during the next 2 years. The northward and southward sequence of dissemination continued as WNv began to encompass the remainder of the continent. Migrating birds are thought to be the one of the major contributors to the rapid dissemination of this mosquito-borne virus. The temporal and spatial pattern and rapidity of the continental spread of WNv, as detected by the national surveillance system, match the semi-annual migratory movements of hundreds of millions of North American birds. The subsequent dissemination of the virus to Canada, the Caribbean, Mexico, Central America, and now South America fits this method of spread as well. The strain of WNv introduced into the U.S. had increased virulence for North American birds, which quickly became apparent after its introduction and from the subsequent avian epizootics it caused. More than 200 species of birds experienced mortality, especially corvid species such as the American crow, blue jay, and several species of magpies, and recently the greater sage grouse. These species were particularly susceptible to this virulent strain of virus, as demonstrated in experimental studies and from dramatic die-offs during the summer virus transmission seasons. Bird mortality from WNv peaks during August-September at the height of the mosquito-transmission period but extends from April to November each year in some states. This mortality in crows and other corvid species was used as a sensitive sentinel system to detect the presence and movement of the virus through a public health reporting and laboratory testing national surveillance program. Mammal species were frequently infected, and some suffered mortality. The nationwide bird mortality from WNv infections was dramatic in North America during the last 7 years, but the actual impact of the mortality on bird populations is not known because of the insensitivity of national population data available on birds. Few regional declines in bird populations have been detected; however, the impact of WNv on local populations of crows and sage grouse has been observed in some localities. The geographical distribution of WNv activity is not continuous across local landscapes, and unexposed birds can then serve as a source to repopulate local impacted areas when overall populations are high. West Nile virus persists through the winter periods and reappears annually in the spring in temperate regions of the continent. The mechanisms responsible for this recrudescence are unique and largely unknown. Focusing on these overwintering locations with targeted mosquito control could suppress early season initiation of virus transmission and possibly prevent subsequent summer amplification. Integrated pest management aimed at controlling mosquito populations is currently the only effective approach to control this disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.235
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2006
Admission routes1
Has abstractyes

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