Literature DB >> 11716111

Lyme disease in New York State: spatial pattern at a regional scale.

S Glavanakov1, D J White, T Caraco, A Lapenis, G R Robinson, B K Szymanski, W A Maniatty.   

Abstract

Lyme disease occurs commonly in New York State, but its geographic distribution is heterogeneous. Over each of nine consecutive years, incidence rates from 57 New York State counties were subjected to spatial autocorrelation analysis. Although the epidemic advanced during the study period, the analyses reveal a consistent pattern of spatial dependence. The correlation distance, the distance over which incidence rates covary positively, remained near 120 km over the nine years. A local spatial analysis around Westchester County, a major disease focus, indicated that the global correlation distance matched the extent of the most intense local clustering; statistically weaker clustering extended to 200 km from Westchester. Analyzing the spatial character of the epidemic may reveal the epizootic processes underlying patterns in human infection, and may help identify a spatial scale for regional control of disease.

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Year:  2001        PMID: 11716111     DOI: 10.4269/ajtmh.2001.65.538

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


  10 in total

Review 1.  The emergence of Lyme disease.

Authors:  Allen C Steere; Jenifer Coburn; Lisa Glickstein
Journal:  J Clin Invest       Date:  2004-04       Impact factor: 14.808

2.  Spatial and temporal emergence pattern of Lyme disease in Virginia.

Authors:  Jie Li; Korine N Kolivras; Yili Hong; Yuanyuan Duan; Sara E Seukep; Stephen P Prisley; James B Campbell; David N Gaines
Journal:  Am J Trop Med Hyg       Date:  2014-10-20       Impact factor: 2.345

3.  Dilution effect in bovine tuberculosis: risk factors for regional disease occurrence in Africa.

Authors:  Zheng Y X Huang; Willem F de Boer; Frank van Langevelde; Chi Xu; Karim Ben Jebara; Francesco Berlingieri; Herbert H T Prins
Journal:  Proc Biol Sci       Date:  2013-06-26       Impact factor: 5.349

4.  Effects of landscape fragmentation and climate on Lyme disease incidence in the northeastern United States.

Authors:  Phoebe Minh Tran; Lance Waller
Journal:  Ecohealth       Date:  2014-01-14       Impact factor: 3.184

Review 5.  Spatial dynamics of lyme disease: a review.

Authors:  Mary E Killilea; Andrea Swei; Robert S Lane; Cheryl J Briggs; Richard S Ostfeld
Journal:  Ecohealth       Date:  2008-06-05       Impact factor: 3.184

6.  MLST of housekeeping genes captures geographic population structure and suggests a European origin of Borrelia burgdorferi.

Authors:  Gabriele Margos; Anne G Gatewood; David M Aanensen; Klára Hanincová; Darya Terekhova; Stephanie A Vollmer; Muriel Cornet; Joseph Piesman; Michael Donaghy; Antra Bormane; Merrilee A Hurn; Edward J Feil; Durland Fish; Sherwood Casjens; Gary P Wormser; Ira Schwartz; Klaus Kurtenbach
Journal:  Proc Natl Acad Sci U S A       Date:  2008-06-23       Impact factor: 11.205

7.  Geography, deer, and host biodiversity shape the pattern of Lyme disease emergence in the Thousand Islands Archipelago of Ontario, Canada.

Authors:  Lisa Werden; Ian K Barker; Jeff Bowman; Emily K Gonzales; Patrick A Leighton; L Robbin Lindsay; Claire M Jardine
Journal:  PLoS One       Date:  2014-01-09       Impact factor: 3.240

8.  Regional level risk factors associated with the occurrence of African swine fever in West and East Africa.

Authors:  Zheng Y X Huang; Frank van Langevelde; Karanina J Honer; Marc Naguib; Willem F de Boer
Journal:  Parasit Vectors       Date:  2017-01-07       Impact factor: 3.876

9.  Power evaluation of disease clustering tests.

Authors:  Changhong Song; Martin Kulldorff
Journal:  Int J Health Geogr       Date:  2003-12-19       Impact factor: 3.918

10.  Exploratory spatial analysis of Lyme disease in Texas -what can we learn from the reported cases?

Authors:  Barbara Szonyi; Indumathi Srinath; Maria Esteve-Gassent; Blanca Lupiani; Renata Ivanek
Journal:  BMC Public Health       Date:  2015-09-19       Impact factor: 3.295

  10 in total

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