Modeling the geographic distribution of Bacillus anthracis, the causative agent of anthrax disease, for the contiguous United States using predictive ecologic niche modeling

被引:121
作者
Blackburn, Jason K.
McNyset, Kristina M. [1 ]
Curtis, Andrew [2 ]
Hugh-Jones, Martin E. [3 ]
机构
[1] US EPA, Off Res & Dev Western Ecol Div, Corvallis, OR 97333 USA
[2] Univ So Calif, Coll Letters Arts & Sci, Dept Geog, Los Angeles, CA 90089 USA
[3] Louisiana State Univ, Sch Coast & Environm, Dept Environm Studies, Baton Rouge, LA 70803 USA
关键词
D O I
10.4269/ajtmh.2007.77.1103
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The ecology and distribution of Bacillus anthracis is poorly understood despite continued anthrax outbreaks in wildlife and livestock throughout the United States. Little work is available to define the potential environments that may lead to prolonged spore survival and subsequent outbreaks. This study used the genetic algorithm for rule-set prediction modeling system to model the ecological niche for B. anthracis in the contiguous United States using wildlife and livestock outbreaks and several environmental variables. The modeled niche is defined by a narrow range of normalized difference vegetation index, precipitation, and elevation, with the geographic distribution heavily concentrated in a narrow corridor from southwest Texas northward into the Dakotas and Minnesota. Because disease control programs rely on vaccination and carcass disposal, and vaccination in wildlife remains untenable, understanding the distribution of B. anthracis plays an important role in efforts to prevent/eradicate the disease. Likewise, these results potentially aid in differentiating endemic/natural outbreaks from industrial-contamination related outbreaks or bioterrorist attacks.
引用
收藏
页码:1103 / 1110
页数:8
相关论文
共 45 条
[1]  
Adjemian JCZ, 2006, J MED ENTOMOL, V43, P93, DOI 10.1603/0022-2585(2006)043[0093:AOGAFR]2.0.CO
[2]  
2
[3]   Geographical distributions of spiny pocket mice in South America:: insights from predictive models [J].
Anderson, RP ;
Gómez-Laverde, M ;
Peterson, AT .
GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2002, 11 (02) :131-141
[4]   Evaluating predictive models of species' distributions: criteria for selecting optimal models [J].
Anderson, RP ;
Lew, D ;
Peterson, AT .
ECOLOGICAL MODELLING, 2003, 162 (03) :211-232
[5]   Chagas disease in a domestic transmission cycle in southern Texas, USA [J].
Beard, CB ;
Pye, G ;
Steurer, FJ ;
Rodriguez, R ;
Campman, R ;
Peterson, AT ;
Ramsey, J ;
Wirtz, RA ;
Robinson, LE .
EMERGING INFECTIOUS DISEASES, 2003, 9 (01) :103-105
[6]   SIGNAL DETECTABILITY - THE USE OF ROC CURVES AND THEIR ANALYSES [J].
CENTOR, RM .
MEDICAL DECISION MAKING, 1991, 11 (02) :102-106
[7]   Ecologic niche modeling and differentiation of populations of Triatoma brasiliensis neiva, 1911, the most important Chagas' disease vector in northeastern Brazil (hemiptera, reduviidae, triatominae) [J].
Costa, J ;
Peterson, AT ;
Beard, CB .
AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 2002, 67 (05) :516-520
[8]  
DRAGON DC, 1995, CAN VET J, V36, P295
[9]  
GAINER RS, 1989, CAN VET J, V30, P953
[10]  
Grinnell J., 1917, Auk Cambridge Mass, V34