Predicting the seasonal shift in mosquito populations preceding the onset of the West Nile virus in central Illinois

N. E. Westcott, S. D. Hilberg, R. L. Lampman, B. W. Alto, A. Bedel, E. J. Muturi, H. Glahn, M. Baker, K. E. Kunkel, R. J. Novak

Research output: Contribution to journalArticlepeer-review

Abstract

The peak in WNV infection rate is preceded by a seasonal shift in the Cx. restuans a n d Cx. pipiens populations in the midwestern United States (Lampman et al. 2006). Models predicting this seasonal shift in population have been run operationally at the Midwestern Regional Climate Center since 2004. In 2009, the models were modified to incorporate NWS MOS 10-day temperature forecasts. This paper evaluated the effectiveness and lead time of these models to predict the crossover date when the proportion of Cx. pipiens becomes equal to or greater than that of the Cx. restuans.

Original languageEnglish (US)
Pages (from-to)1173-1180
Number of pages8
JournalBulletin of the American Meteorological Society
Volume92
Issue number9
DOIs
StatePublished - Sep 2011

ASJC Scopus subject areas

  • Atmospheric Science

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