Literature DB >> 13679793

Knowledge, attitudes, and behaviors about West Nile virus--Connecticut, 2002.

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Abstract

Since West Nile virus (WNV) was first recognized in the United States in 1999, the geographic distribution has widened progressively, and the resulting human morbidity and mortality has increased. The cornerstones of WNV control and prevention are 1) surveillance with sustained and integrated mosquito control to detect the presence of WNV in areas where humans are at risk and 2) public education on the use of personal protective behaviors (PPBs) and peridomestic mosquito control to reduce the risk for mosquito bites. In Connecticut, strategies to improve public education and WNV-risk awareness consist of issuing graded warnings after assessing local surveillance findings during the transmission season. In 2002, three of the 17 Connecticut patients with confirmed WNV infection reported having used any PPBs. To assess knowledge, attitudes, and behaviors about WNV during the transmission season, the Connecticut Department of Public Health added questions about WNV to its Behavioral Risk Factor Surveillance System (BRFSS) survey conducted during August-November 2002. This report summarizes the results of that analysis, which indicate that general awareness of WNV and knowledge of elderly persons being at risk for more severe illness were high; however, awareness of local surveillance findings was poor, and belief in the local presence of WNV did not predict the use of PPBs. The findings underscore the need for continued public education about the risk for WNV infection and the use of PPBs and the need for regular systematic evaluations of knowledge, attitudes, and behaviors to refine and improve public health messages effectively.

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Year:  2003        PMID: 13679793

Source DB:  PubMed          Journal:  MMWR Morb Mortal Wkly Rep        ISSN: 0149-2195            Impact factor:   17.586


  8 in total

1.  Weather-based forecasting of mosquito-borne disease outbreaks in Canada.

Authors:  N H Ogden; L R Lindsay; A Ludwig; A P Morse; H Zheng; H Zhu
Journal:  Can Commun Dis Rep       Date:  2019-05-02

2.  Yard flooding by irrigation canals increased the risk of West Nile disease in El Paso, Texas.

Authors:  Victor M Cardenas; Javier Jaime; Paula B Ford; Fernando J Gonzalez; Irma Carrillo; Jorge E Gallegos; Douglas M Watts
Journal:  Ann Epidemiol       Date:  2011-09-22       Impact factor: 3.797

3.  Mosquito Avoidance Practices and Knowledge of Arboviral Diseases in Cities with Differing Recent History of Disease.

Authors:  Steven D Haenchen; Mary H Hayden; Katherine L Dickinson; Kathleen Walker; Elizabeth E Jacobs; Heidi E Brown; Jayleen K L Gunn; Lindsay N Kohler; Kacey C Ernst
Journal:  Am J Trop Med Hyg       Date:  2016-08-15       Impact factor: 2.345

4.  The effect of West Nile virus perceptions and knowledge on protective behavior and mosquito breeding in residential yards in upstate New York.

Authors:  Wieteke Tuiten; Constantianus J M Koenraadt; Katherine McComas; Laura C Harrington
Journal:  Ecohealth       Date:  2009-05-19       Impact factor: 3.184

5.  Exposure to West Nile virus during the 2002 epidemic in Cuyahoga County, Ohio: a comparison of pediatric and adult behaviors.

Authors:  Angelle Desirée LaBeaud; Jeffery R Kile; Christopher Kippes; Charles H King; Anna M Mandalakas
Journal:  Public Health Rep       Date:  2007 May-Jun       Impact factor: 2.792

6.  Protective behavior survey, West Nile virus, British Columbia.

Authors:  Michael Aquino; Murray Fyfe; Laura MacDougall; Valencia Remple
Journal:  Emerg Infect Dis       Date:  2004-08       Impact factor: 6.883

7.  Evaluation of West Nile virus education campaign.

Authors:  Ellen Averett; John S Neuberger; Gail Hansen; Michael H Fox
Journal:  Emerg Infect Dis       Date:  2005-11       Impact factor: 6.883

8.  Using the Behavioral Risk Factor Surveillance System (BRFSS) for exposure tracking: experiences from Washington State.

Authors:  Denise M Laflamme; James A Vanderslice
Journal:  Environ Health Perspect       Date:  2004-10       Impact factor: 9.031

  8 in total

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