Effects of Landscape Fragmentation and Climate on Lyme Disease Incidence in the Northeastern United States

被引:36
作者
Phoebe Minh Tran [1 ]
Waller, Lance [2 ]
机构
[1] Emory Univ, Coll Arts & Sci, Atlanta, GA 30322 USA
[2] Rollins Sch Publ Hlth, Dept Bioinformat & Biostat, Atlanta, GA USA
关键词
Lyme disease; climate; forest fragmentation; IXODES-SCAPULARIS; FOREST FRAGMENTATION; RISK; PREDICTS; ACARI;
D O I
10.1007/s10393-013-0890-y
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Lyme disease is the most frequently reported vector borne illness in the United States, and incidences are increasing steadily year after year. This study explores the influence of landscape (e. g., land use pattern and landscape fragmentation) and climatic factors (e. g., temperature and precipitation) at a regional scale on Lyme disease incidence. The study area includes thirteen states in the Northeastern United States. Lyme disease incidence at county level for the period of 2002-2006 was linked with several key landscape and climatic variables in a negative binomial regression model. Results show that Lyme disease incidence has a relatively clear connection with regional landscape fragmentation and temperature. For example, more fragmentation between forests and residential areas results in higher local Lyme disease incidence. This study also indicates that, for the same landscape, some landscape variables derived at a particular scale show a clearer connection to Lyme disease than do others. In general, the study sheds more light on connections between Lyme disease incidence and climate and landscape patterns at the regional scale. Integrating findings of this regional study with studies at a local scale will further refine understanding of the pattern of Lyme disease as well as increase our ability to predict, prevent, and respond to disease.
引用
收藏
页码:394 / 404
页数:11
相关论文
共 29 条
[1]   Effect of forest fragmentation on Lyme disease risk [J].
Allan, BF ;
Keesing, F ;
Ostfeld, RS .
CONSERVATION BIOLOGY, 2003, 17 (01) :267-272
[2]  
Bown KJ, 2003, EMERG INFECT DIS, V9, P63
[3]   Forest fragmentation predicts local scale heterogeneity of Lyme disease risk [J].
Brownstein, JS ;
Skelly, DK ;
Holford, TR ;
Fish, D .
OECOLOGIA, 2005, 146 (03) :469-475
[4]   A climate-based model predicts the spatial distribution of the Lyme disease vector Ixodes scapularis in the United States [J].
Brownstein, JS ;
Holford, TR ;
Fish, D .
ENVIRONMENTAL HEALTH PERSPECTIVES, 2003, 111 (09) :1152-1157
[5]  
CDC, 2012, GEOGR DISTR
[6]   Modelling a discrete spatial response using generalized linear mixed models: application to Lyme disease vectors [J].
Das, A ;
Lele, SR ;
Glass, GE ;
Shields, T ;
Patz, J .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2002, 16 (02) :151-166
[7]  
Diuk-Wasser MA, 2006, J MED ENTOMOL, V43, P166, DOI 10.1603/0022-2585(2006)043[0166:SPOHIS]2.0.CO
[8]  
2
[9]  
ESRI, 2011, ARCGIS DESKT REL 10, DOI DOI 10.1111/J.1461-0248.2010.01559.X
[10]   Landscape features associated with Lyme disease risk in a suburban residential environment [J].
Frank, DH ;
Fish, D ;
Moy, FH .
LANDSCAPE ECOLOGY, 1998, 13 (01) :27-36