Geographic variation in the relationship between human lyme disease incidence and density of infected host-seeking Ixodes scapularis nymphs in the Eastern United States

American Journal of Tropical Medicine and Hygiene

Volumn 86, Issue 6, 2012, Pages 1062-1071

  Pepin, Kim M ^a,b   Eisen, Rebecca J ^b   Mead, Paul S ^b   Piesman, Joseph ^b   Fish, Durland ^c   Hoen, Anne G ^d   Barbour, Alan G ^e   Hamer, Sarah ^f,g   Diuk Wasser, Maria A ^c  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b NATIONAL CENTER FOR EMERGING AND ZOONOTIC INFECTIOUS DISEASES   (United States)

^c YALE UNIVERSITY   (United States)

^d DARTMOUTH MEDICAL SCHOOL   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f MICHIGAN STATE UNIVERSITY   (United States)

^g TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CORRELATIONAL STUDY; GENOTYPE; GEOGRAPHICAL VARIATION (SPECIES); HUMAN; INCIDENCE; INSECT GENETICS; IXODES SCAPULARIS; LYME DISEASE; NYMPH; PREVALENCE; UNITED STATES;

ANIMALS; ARACHNID VECTORS; BORRELIA BURGDORFERI; COST-BENEFIT ANALYSIS; GENOTYPE; GEOGRAPHY; HUMANS; INCIDENCE; IXODES; LYME DISEASE; NYMPH; PREVALENCE; REGRESSION ANALYSIS; RISK FACTORS; TICKS; UNITED STATES;

EID: 84862183320     PISSN: 00029637     EISSN: None     Source Type: Journal    
DOI: 10.4269/ajtmh.2012.11-0630     Document Type: Article

References (41)

1. CDC, 2011. Reported Cases of Lyme Disease by Year, United States, 1996-2010. Available at: http://www.cdc.gov/lyme/stats/chartstables/casesbyyear. html. Accessed January 2011.
2. CDC, 2011. Lyme Disease Incidence Rates by State, 2005-2010. Available at: http://www.cdc.gov/lyme/stats/chartstables/incidencebystate.html. Accessed January 2011.
3. Connally NP, Durante AJ, Yousey-Hindes KM, Meek JI, Nelson RS, Heimer R, 2009. Peridomestic lyme disease prevention results of a population-based case-control study. Am J Prev Med 37: 201-206.
4. Gould LH, Nelson RS, Griffith KS, Hayes EB, Piesman J, Mead PS, Cartter ML, 2008. Knowledge, attitudes, and behaviors regarding lyme disease prevention among Connecticut residents, 1999-2004. Vector Borne Zoonotic Dis 8: 769-776.
5. Hayes EB, Piesman J, 2003. Current concepts - how can we prevent Lyme disease? N Engl J Med 348: 2424-2430. (Pubitemid 36682822)
6. Piesman J, Eisen L, 2008. Prevention of tick-borne diseases. Annu Rev Entomol 53: 323-343. (Pubitemid 351341944)
7. Shen AK, Mead PS, Beard CB, 2011. The lyme disease vaccine - a public health perspective. Clin Infect Dis 52: S247-S252.
8. Fish D, 1993. Population ecology of Ixodes dammini. Ginsberg H, ed. Ecology and Environmental Management of Lyme Disease. New Brunswick, NJ: Rutgers University Press, 25-42.
9. Mather TN, Nicholson MC, Donnelly EF, Matyas BT, 1996. Entomologic index for human risk of Lyme disease. Am J Epidemiol 144: 1066-1069. (Pubitemid 26404813)
10. Stafford KC, Cartter ML, Magnarelli LA, Ertel SH, Mshar PA, 1998. Temporal correlations between tick abundance and prevalence of ticks infected with Borrelia burgdorferi and increasing incidence of Lyme disease. J Clin Microbiol 36: 1240-1244. (Pubitemid 28208006)
11. Connally NP, Ginsberg HS, Mather TN, 2006. Assessing peridomestic entomological factors as predictors for Lyme disease. J Vector Ecol 31: 364-370.
12. Kitron U, Kazmierczak JJ, 1997. Spatial analysis of the distribution of Lyme disease in Wisconsin. Am J Epidemiol 145: 558-566.
13. Falco RC, McKenna DF, Daniels TJ, Nadelman RB, Nowakowski J, Fish D, Wormser GP, 1999. Temporal relation between Ixodes scapularis abundance and risk for Lyme disease associated with erythema migrans. Am J Epidemiol 149: 771-776. (Pubitemid 29180786)
14. Johnson JL, Ginsberg HS, Zhioua E, Whitworth UG, Markowski D, Hyland KE, Hu RJ, 2004. Passive tick surveillance, dog seropositivity, and incidence of human Lyme disease. Vector Borne Zoonotic Dis 4: 137-142. (Pubitemid 39023335)
15. Rand PW, Lacombe EH, Dearborn R, Cahill B, Elias S, Lubelczyk CB, Beckett GA, Smith RP, 2007. Passive surveillance in Maine, an area emergent for tick-borne diseases. J Med Entomol 44: 1118-1129. (Pubitemid 350208247)
16. Allan BF, Keesing F, Ostfeld RS, 2003. Effect of forest fragmentation on Lyme disease risk. Conserv Biol 17: 267-272. (Pubitemid 36234419)
17. Brownstein JS, Skelly DK, Holford TR, Fish D, 2005. Forest fragmentation predicts local scale heterogeneity of Lyme disease risk. Oecologia 146: 469-475. (Pubitemid 41548455)
18. Estrada-Pena A, 2009. Diluting the dilution effect: a spatial Lyme model provides evidence for the importance of habitat fragmentation with regard to the risk of infection. Geospat Health 3: 143-155.
19. Ashley ST, Meentemeyer V, 2004. Climatic analysis of Lyme disease in the United States. Clim Res 27: 177-187. (Pubitemid 40047346)
20. Brownstein JS, Holford TR, Fish D, 2003. A climate-based model predicts the spatial distribution of the Lyme disease vector Ixodes scapularis in the United States. Environ Health Perspect 111: 1152-1157. (Pubitemid 36939394)
21. Ogden NH, Maarouf A, Barker IK, Bigras-Poulin M, Lindsay LR, Morshed MG, O'Callaghan CJ, Ramay F, Waltner-Toews D, Charron DF, 2006. Climate change and the potential for range expansion of the Lyme disease vector Ixodes scapularis in Canada. Int J Parasitol 36: 63-70. (Pubitemid 43049698)
22. Ostfeld RS, Canham CD, Oggenfuss K, Winchcombe RJ, Keesing F, 2006. Climate, deer, rodents, and acorns as determinants of variation in Lyme-disease risk. PLoS Biol 4: 1058-1068.
23. Gatewood AG, Liebman KA, Vourc'h G, Bunikis J, Hamer SA, Cortinas R, Melton F, Cislo P, Kitron U, Tsao J, Barbour AG, Fish D, Diuk-Wasser MA, 2009. Climate and tick seasonality are predictors of Borrelia burgdorferi genotype distribution. Appl Environ Microbiol 75: 2476-2483.
24. Dykhuizen DE, Brisson D, Sandigursky S, Wormser GP, Nowakowski J, Nadelman RB, Schwartz I, 2008. Short report: the propensity of different Borrelia burgdorferi sensu stricto genotypes to cause disseminated infections in humans. Am J Trop Med Hyg 78: 806-810. (Pubitemid 351845140)
25. Hanincova K, Ogden NH, Diuk-Wasser M, Pappas CJ, Iyer R, Fish D, Schwartz I, Kurtenbach K, 2008. Fitness variation of Borrelia burgdorferi sensu stricto strains in mice. Appl Environ Microbiol 74: 153-157.
26. Wormser GP, Brisson D, Liveris D, Hanincova K, Sandigursky S, Nowakowski J, Nadelman RB, Ludin S, Schwartz I, 2008. Borrelia burgdorferi genotype predicts the capacity for hematogenous dissemination during early Lyme disease. J Infect Dis 198: 1358-1364.
27. Diuk-Wasser MA, Gatewood AG, Cortinas MR, Yaremych-Hamer S, Tsao J, Kitron U, Hickling G, Brownstein JS, Walker E, Piesman J, Fish D, 2006. Spatiotemporal patterns of host-seeking Ixodes scapularis nymphs (Acari: Iodidae) in the United States. J Med Entomol 43: 166-176. (Pubitemid 44743521)
28. Diuk-Wasser MA, Vourc'h G, Cislo P, Hoen AG, Melton F, Hamer SA, Rowland M, Cortinas R, Hickling GJ, Tsao JI, Barbour AG, Kitron U, Piesman J, Fish D, 2010. Field and climate-based model for predicting the density of host-seeking nymphal Ixodes scapularis, an important vector of tick-borne disease agents in the eastern United States. Glob Ecol Biogeogr 19: 504-514.
29. Diuk-Wasser M, Gatewood A, Cislo P, Brinkerhoff R, Hamer S, Rowland M, Cortinas R, Melton F, Hickling G, Tsao J, Bunikis J, Barbour A, Kitron U, Piesman J, Fish D, 2012. Human risk of infection with Borrelia burgdorferi, the Lyme disease agent, in eastern United States. Am J Trop Med Hyg, 86: 320-327.
30. Bacon RM, Kugeler KJ, Mead PS, 2008. Surveillance for Lyme disease - United States, 1992-2006. MMWR Surveill Summ 57: 1-9.
31. Guerra M, Walker E, Jones C, Paskewitz S, Cortinas MR, Stancil A, Beck L, Bobo M, Kitron U, 2002. Predicting the risk of Lyme disease: habitat suitability for Ixodes scapularis in the north central United States. Emerg Infect Dis 8: 289-297. (Pubitemid 34266267)
32. Wormser GP, Liveris D, Nowakowski J, Nadelman RB, Cavaliere LF, McKenna D, Holmgren D, Schwartz I, 1999. Association of specific subtypes of Borrelia burgdorferi with hematogenous dissemination in early Lyme disease. J Infect Dis 180: 720-725. (Pubitemid 29411358)
33. Wang G, Ojaimi C, Iyer R, Saksenberg V, McClain SA, Wormser GP, Schwartz I, 2001. Impact of genotypic variation of Borrelia burgdorferi sensu stricto on kinetics of dissemination and severity of disease in C3H/HeJ mice. Infect Immun 69: 4303-4312. (Pubitemid 32574426)
34. Estrada-Pena A, 2009. Tick-borne pathogens, transmission rates and climate change. Front Biosci 14: U2674-U2780.
35. Tsao JI, Wootton JT, Bunikis J, Luna MG, Fish D, Barbour AG, 2004. An ecological approach to preventing human infection: vaccinating wild mouse reservoirs intervenes in the Lyme disease cycle. Proc Natl Acad Sci USA 101: 18159-18164. (Pubitemid 40054090)
36. Hothorn T, Hornik K, Zeileis A, 2006. Unbiased recursive partitioning: a conditioxnal inference framework. J Comput Graph Statist 15: 651-674. (Pubitemid 44554201)
37. Jones KL, Glickstein LJ, Damle N, Sikand VK, McHugh G, Steere AC, 2006. Borrelia burgdorferi genetic markers and disseminated disease in patients with early Lyme disease. J Clin Microbiol 44: 4407-4413. (Pubitemid 44937072)
38. Derdakova M, Dudioak V, Brei B, Brownstein JS, Schwartz I, Fish D, 2004. Interaction and transmission of two Borrelia burgdorferi sensu stricto strains in a tick-rodent maintenance system. Appl Environ Microbiol 70: 6783-6788. (Pubitemid 39518590)
39. Bunikis J, Garpmo U, Tsao J, Berglund J, Fish D, Barbour AG, 2004. Sequence typing reveals extensive strain diversity of the Lyme borreliosis agents Borrelia burgdorferi in North America and Borrelia afzelii in Europe. Microbiology 150: 1741-1755. (Pubitemid 38923674)
40. Eisen L, Eisen RJ, 2007. Need for improved methods to collect and present spatial epidemiologic data for vectorborne diseases. Emerg Infect Dis 13: 1816-1820. (Pubitemid 350248481)
41. Goddard J, Piesman J, 2006. New records of immature Ixodes scapularis from Mississippi. J Vector Ecol 31: 421-422.