JWD Your personal alerts
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

Journal of Wildlife Diseases, 39(4), 2003, pp. 869-874
© Wildlife Disease Association  2003
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Jones, M.
Right arrow Articles by Childs, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Jones, M.
Right arrow Articles by Childs, J.

Environmental and human demographic features associated with epizootic raccoon rabies in Maryland, Pennsylvania, and Virginia

ME Jones, AT Curns, JW Krebs, and JE Childs


ABSTRACT

We assessed land use and demographic data as predictors discriminating between counties experiencing large or small first epizootics of rabies among raccoons (Procyon lotor). Monthly county reports of raccoons testing positive for rabies were obtained from rabies surveillance databases from Maryland, Pennsylvania, and Virginia (USA). Environmental and demographic data for the three states were obtained from public sources. On the basis of total reports of raccoon rabies during the first defined epizootic period, the 203 counties were dichotomized at the 75th percentile as having a large epizootic (> or = 24 rabid raccoons in the first epizootic) (51 counties) or a small epizootic or no epizootic (152 counties). A high percentage of agricultural land use [OR = 9.1, 95% CI (3.6-23.1)], high water coverage in combination with low human population density [OR = 8.8, 95% CI (2.9-27.0)], and low water coverage with high human population density [OR = 11.7, 95% CI (4.0-34.1)] were positively associated with large rabies epizootics. Counties with more than 15% of mixed forest were less likely to experience large epizootics than were counties with < or = 15% of mixed forest [OR = 0.3, 95% CI (0.1, 0.9)]. A combination of land use and human population density measures provided the best model for determining epizootic size and may be important predictors of epizootic behavior and risk of exposure to this reservoir species.


This article has been cited by other articles:


Home page
 Appl. Environ. Microbiol.Home page
N. J. Hill, E. M. Deane, and M. L. Power
Prevalence and Genetic Characterization of Cryptosporidium Isolates from Common Brushtail Possums (Trichosurus vulpecula) Adapted to Urban Settings
Appl. Envir. Microbiol., September 1, 2008; 74(17): 5549 - 5555.
[Abstract] [Full Text] [PDF]

Home page
 Proc. Natl. Acad. Sci. USAHome page
R. Biek, J. C. Henderson, L. A. Waller, C. E. Rupprecht, and L. A. Real
A high-resolution genetic signature of demographic and spatial expansion in epizootic rabies virus
PNAS, May 8, 2007; 104(19): 7993 - 7998.
[Abstract] [Full Text] [PDF]

Home page
 J Wildl DisHome page
J. J. Johnston, T. M. Primus, T. Buettgenbach, C. A. Furcolow, M. J. Goodall, D. Slate, R. B. Chipman, J. L. Snow, and T. J. DeLiberto
EVALUATION AND SIGNIFICANCE OF TETRACYCLINE STABILITY IN RABIES VACCINE BAITS
J. Wildl. Dis., July 1, 2005; 41(3): 549 - 558.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2003 by the Wildlife Disease Association.