Identification of hyperendemic foci of horses with West Nile virus disease in Texas

Courtney A. Wittich Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843-4458.

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Michael P. Ward Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843-4458.

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Geoffrey T. Fosgate Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843-4458.

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Raghavan Srinivasan Spatial Sciences Laboratory, Texas A&M University, College Station, TX 77843-2120.
Department of Ecosystem Science & Management, College of Agriculture and Life Sciences, Texas A&M University, College Station, TX 77843-2135.

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Abstract

Objective—To determine whether West Nile virus (WNV) disease hyperendemic foci (hot spots) exist within the horse population in Texas and, if detected, to identify the locations.

Sample Population—Reports of 1,907 horses with WNV disease in Texas from 2002 to 2004.

Procedures—Case data with spatial information from WNV epidemics occurring in 2002 (1,377 horses), 2003 (396 horses), and 2004 (134 horses) were analyzed by use of the spatial scan statistic (Poisson model) and kriging of empirical Bayes smoothed county attack rates to determine locations of horses with WNV disease in which affected horses were consistently (in each of the 3 study years) clustered (hyperendemic foci, or hot spots).

Results—2 WNV hot spots in Texas, an area in northwestern Texas and an area in eastern Texas, were identified with the scan statistic. Risk maps of the WNV epidemics were qualitatively consistent with the hot spots identified.

Conclusions and Clinical Relevance—WNV hot spots existed within the horse population in Texas (2002 to 2004). Knowledge of disease hot spots allows disease control and prevention programs to be made more efficient through targeted surveillance and education.

Abstract

Objective—To determine whether West Nile virus (WNV) disease hyperendemic foci (hot spots) exist within the horse population in Texas and, if detected, to identify the locations.

Sample Population—Reports of 1,907 horses with WNV disease in Texas from 2002 to 2004.

Procedures—Case data with spatial information from WNV epidemics occurring in 2002 (1,377 horses), 2003 (396 horses), and 2004 (134 horses) were analyzed by use of the spatial scan statistic (Poisson model) and kriging of empirical Bayes smoothed county attack rates to determine locations of horses with WNV disease in which affected horses were consistently (in each of the 3 study years) clustered (hyperendemic foci, or hot spots).

Results—2 WNV hot spots in Texas, an area in northwestern Texas and an area in eastern Texas, were identified with the scan statistic. Risk maps of the WNV epidemics were qualitatively consistent with the hot spots identified.

Conclusions and Clinical Relevance—WNV hot spots existed within the horse population in Texas (2002 to 2004). Knowledge of disease hot spots allows disease control and prevention programs to be made more efficient through targeted surveillance and education.

Contributor Notes

This manuscript represents a portion of a thesis submitted by the senior author as partial fulfillment of the requirements for a Master of Science degree (Epidemiology) at Texas A&M University.

Dr. Ward was supported by a grant from the Texas Equine Research Account Advisory Committee.

Address correspondence to Dr. Ward.
  • 1.

    Ostlund EN, Andresen JE, Andresen M. West Nile encephalitis. Vet Clin North Am Equine Pract 2000;6:427441.

  • 2.

    Hayes CG. West Nile fever. In: The arboviruses: epidemiology and ecology. Vol 5.1988;5988.

  • 3.

    Ostlund NE, Crom RL, Pedersen, DD, et al. Equine West Nile encephalitis, United States. Emerg Infect Dis 2001;7:665669.

  • 4.

    Porter MB, Long MT, Getman LM, et al. West Nile virus encephalomyelitis in horses: 46 cases (2001). J Am Vet Med Assoc 2003;222:12411247.

  • 5.

    Ward MP, Levy M, Thacker HL, et al. Investigation of an outbreak of encephalomyelitis caused by West Nile virus in 136 horses. J Am Vet Med Assoc 2004;225:8489.

    • Search Google Scholar
    • Export Citation
  • 6.

    Ward MP, Schuermann JA, Highfield L, et al. An outbreak of West Nile virus encephalomyelitis in Texas equids: 1,698 cases. Vet Microbiol 2006;118:255259.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 7.

    Schuler LA, Khaitsa ML, Dyer NW, et al. Evaluation of an outbreak of West Nile virus infection in horses: 569 cases (2002). J Am Vet Med Assoc 2004;225:10841089.

    • Search Google Scholar
    • Export Citation
  • 8.

    CDC. Provisional surveillance summary of the West Nile virus epidemic—United States, January–November 2002. MMWR Morb Mortal Wkly Rep 2002;51:11291133.

    • Search Google Scholar
    • Export Citation
  • 9.

    Apperson CS, Hassan HK, Harrison BA, et al. Host feeding patterns of established and potential mosquito vectors of West Nile virus in the eastern United States. Vector Borne Zoonotic Dis 2004;4:4572.

    • Search Google Scholar
    • Export Citation
  • 10.

    Hassan AN, Onsi HM. Remote sensing as a tool for mapping mosquito breeding habitats and associated health risk to assist control efforts and development plans: a case study in Wadi El Natroun, Egypt. J Egypt Soc Parasitol 2004;34:367382.

    • Search Google Scholar
    • Export Citation
  • 11.

    Kilpatrick AM, Kramer LD, Jones MJ, et al. West Nile virus epidemics in North America are driven by shifts in mosquito feeding behavior. PLoS Biol 2006;4:606610.

    • Search Google Scholar
    • Export Citation
  • 12.

    Nasci RS, Gottfried KL, Burkhalter KL, et al. Comparison of Vero cell plaque assay, taqman reverse transcriptase polymerase chain reaction RNA assay, and vectest antigen assay for detection of West Nile virus in field-collected mosquitoes. J Am Mosq Control Assoc 2002;18:294300.

    • Search Google Scholar
    • Export Citation
  • 13.

    Brownstein JS, Rosen H, Prudy D, et al. Spatial analysis of West Nile virus: rapid risk assessment of an introduced vector-borne zoonosis (Erratum published in Vector Borne Zoonotic Dis 2003;3:155). Vector Borne Zoonotic Dis 2002;2:157164.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 14.

    Mostashari F, Kulldorff M, Hartman JJ, et al. Dead bird clusters as an early warning system for West Nile virus activity. Emerg Infect Dis 2003;9:641646.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 15.

    Theophilides CN, Ahearn SC, Grady S, et al. Identifying West Nile virus risk areas: the Dynamic Continuous-Area Space-Time system. Am J Epidemiol 2003;157:843854.

    • Search Google Scholar
    • Export Citation
  • 16.

    Ruiz MO, Tedesco C, McTighe TJ, et al. Environmental and social determinants of human risk during a West Nile virus outbreak in the greater Chicago area, 2002. Int J Health Geogr 2004;3:8.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 17.

    Watson JT, Jones RC, Gibbs K, et al. Dead crow reports and location of human West Nile virus cases, Chicago, 2002. Emerg Infect Dis 2004;10:938940.

    • Search Google Scholar
    • Export Citation
  • 18.

    USDA. West Nile virus in equids in the northeastern United States in 2000. August 2001. USDA:APHIS Veterinary Services technical report. Available at: www.aphis.usda.gov/vs/ceah/wnvreport.pdf. Accessed Nov 13, 2007.

    • Crossref
    • Export Citation
  • 19.

    Corrigan RLA, Waldner C, Epp T, et al. Prediction of human cases of West Nile virus by equine cases, Saskatchewan, Canada, 2003. Prev Vet Med 2006;76:263272.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 20.

    Mongoh MN, Khaitsa ML, Dyer NW. Environmental and ecological determinants of West Nile virus occurrence in horses in North Dakota, 2002. Epidemiol Infect 2007;135:5766.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 21.

    Ward MP. Epidemic West Nile virus encephalomyelitis: a temperature-dependent, spatial model of disease dynamics. Prev Vet Med 2005;71:253264.

  • 22.

    Castillo-Olivares J, Wood J. West Nile virus infection of horses. Vet Res 2004;35:467483.

  • 23.

    USDA National Agricultural Statistics Service. Available at: www.nass.usda.gov/census/census02/profiles/tx/index.htm. Accessed Sep 1, 2007.

    • Crossref
    • Export Citation
  • 24.

    Jacquez GM, Oden N. User manual for Stat!: statistical software for the clustering of health events. Ann Arbor, Mich: BioMedware, 1994.

  • 25.

    Carrat F, Valleron AJ. Epidemiologic mapping using the “kriging” method: application to an influenza-like illness in France. Am J Epidemiol 1992;135:12931300.

    • Search Google Scholar
    • Export Citation
  • 26.

    Texas Department of State Health Services. Annual statistics for West Nile virus in Texas. Available at: www.dshs.state.tx.us/idcu/disease/arboviral/westNile/statistics/annual/default.asp. Accessed Sep 1, 2007.

  • 27.

    Siger L, Bowen R, Karaca K, et al. Evaluation of the efficacy provided by a recombinant canarypox-vectored equine West Nile virus vaccine against an experimental West Nile virus intrathecal challenge in horses. Vet Ther 2006;7:249256.

    • Search Google Scholar
    • Export Citation

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