Skip directly to site content Skip directly to page options Skip directly to A-Z link Skip directly to A-Z link Skip directly to A-Z link
Volume 6, Number 3—June 2000
Research

Remote Sensing and Geographic Information Systems: Charting Sin Nombre Virus Infections in Deer Mice

John D. Boone*Comments to Author , Kenneth C. McGwire†, Elmer W. Otteson*, Robert S. DeBaca†, Edward A. Kuhn*, Pascal Villard*, Peter F. Brussard*, and Stephen C. St. Jeor*
Author affiliations: *University of Nevada, Reno, Nevada, USA; and †Desert Research Institute, Biological Sciences Center, Reno, Nevada, USA

Main Article

Figure 1

Location of Walker River Basin (17) and its eight major vegetation types, as well as developed areas. Piñon-juniper woodland and montane shrubland tend to be highly interspersed and were combined for visual clarity. Because meadows occurred in very small patches, they could not be represented on this map. Map generated at Utah State University as part of the GAP conservation mapping project.

Figure 1. Location of Walker River Basin (17) and its eight major vegetation types, as well as developed areas. Piñon-juniper woodland and montane shrubland tend to be highly interspersed and were combined for visual clarity. Because meadows occurred in very small patches, they could not be represented on this map. Map generated at Utah State University as part of the GAP conservation mapping project.

Main Article

References
  1. Hugh-Jones  M. Applications of remote sensing to the identification of the habitats of parasites and disease vectors. Parasitol Today. 1989;5:244–51. DOIPubMedGoogle Scholar
  2. Glick  G. The geographic analysis of cancer occurrence: past progress and future directions. In: Meade M, editor. Conceptual methodological issues in medical geography. Chapel Hill (NC): University of North Carolina Press; 1980. p. 170-93.
  3. Beck  L, Rodriguez  M, Dister  S, Rodriguez  A, Rejmankova  E, Ulloa  A, Remote sensing as a landscape epidemiologic tool to identify villages at high risk for malaria transmission. Am J Trop Med Hyg. 1994;51:271–80.PubMedGoogle Scholar
  4. Wood  B, Beck  L, Washino  R, Palchick  S, Sebesta  P. Spectral and spatial characteristics of rice field mosquito habitat. Int J Remote Sens. 1991;12:621–6. DOIGoogle Scholar
  5. Linthicom  K, Bailey  C, Davies  F, Tucker  C. Detection of Rift Valley fever viral activity in Kenya by remote sensing imagery. Science. 1987;235:1656–9. DOIPubMedGoogle Scholar
  6. Kitron  U, Bouseman  J, Jones  C. Use of the ARC/INFO GIS to study the distribution of Lyme disease ticks in an Illinois county. Prev Vet Med. 1991;11:243–8. DOIGoogle Scholar
  7. Rogers  D, Randolph  S. Mortality rates and population density of tsetse flies correlated with satellite imagery. Nature. 1991;351:739–41. DOIPubMedGoogle Scholar
  8. Cross  E, Perrine  R, Sheffield  C, Passaglia  G. Predicting areas endemic for Schistosomiasis using weather variables and a Landsat data base. Mil Med. 1984;149:542–4.PubMedGoogle Scholar
  9. Malone  J, Zukowski  S. Geographical models and control of cattle liver flukes in the southeastern USA. Parasitol Today. 1992;8:266–70. DOIPubMedGoogle Scholar
  10. Childs  JE, Rollin  PE. Emergence of hantavirus disease in the USA and Europe. Curr Opin Infect Dis. 1994;7:220–4. DOIGoogle Scholar
  11. Nichol  ST, Spiropoulou  CF, Morzunov  S, Rollin  PE, Ksiazek  TG, Feldmann  H, Genetic identification of a hantavirus associated with an outbreak of acute respiratory illness. Science. 1993;262:914–7. DOIPubMedGoogle Scholar
  12. Childs  JE, Ksiazek  TG, Spiropoulou  CF, Krebs  JW, Morzunov  S, Maupin  GO, Serologic and genetic identification of Peromyscus maniculatus as the primary rodent reservoir for a new hantavirus in the southwestern United States. J Infect Dis. 1994;169:1271–80.PubMedGoogle Scholar
  13. Henttonen  H, Vapalahti  O, Vaheri  A. How many kinds of hantaviruses? Trends Ecol Evol. 1996;11:7–8. DOIGoogle Scholar
  14. Otteson  EW, Riolo  J, Rowe  JE, Nichol  ST, Ksiazek  TG, Rollin  PE, Occurrence of hantavirus within the rodent population of northeastern California and Nevada. Am J Trop Med Hyg. 1996;54:127–33.PubMedGoogle Scholar
  15. Levis  S, Rowe  JE, Mornzunov  S, Enria  DA, St. Jeor  SC. New hantaviruses causing hantavirus pulmonary syndrome in central Argentina. Lancet. 1997;349:998–9. DOIPubMedGoogle Scholar
  16. Mills  JN, Ksiazek  TG, Ellis  BA, Rollin  PE, Nichol  ST, Yates  TL, Patterns of association with host and habitat: antibody reactive with Sin Nombre virus in small mammals in the major biotic communities of the southwestern United States. Am J Trop Med Hyg. 1997;56:273–84.PubMedGoogle Scholar
  17. Boone  JD, Otteson  EW, Villard  P, McGwire  KC, Rowe  JE, St. Jeor  SC. Ecology and demography of hantavirus infections in rodent populations in the Walker River Basin of Nevada and California. Am J Trop Med Hyg. 1998;59:445–51.PubMedGoogle Scholar
  18. Calisher  CH, Sweeney  W, Mills  JN, Beaty  BJ. Natural history of Sin Nombre virus in western Colorado. Emerg Infect Dis. 1999;5:126–34. DOIPubMedGoogle Scholar
  19. McKelvey  KS, Noon  BR. Incorporating uncertainties in animal location and map classification into habitat relationships modeling. In: Perspectives on uncertainty in ecological data. Springer Verlag. In press, 1999.
  20. Stoms  DM, Davis  FW, Cogan  CB. Sensitivity of wildlife habitat models to uncertainties in GIS data. Photogramm Eng Remote Sensing. 1992;58:843–50.
  21. Mills  JN, Ksiazek  TG, Peters  CJ, Childs  JE. Long-term studies of hantavirus reservoir populations in the southwestern United States: a synthesis. Emerg Infect Dis. 1999;5:135–42. DOIPubMedGoogle Scholar
  22. Engelthaler  DM, Levy  CE, Fink  TM, Tanda  D, Davis  T. Short report: decrease in seroprevalence of antibodies to hantavirus in rodents from 1993-1994 hantavirus pulmonary syndrome case sites. Am J Trop Med Hyg. 1998;58:737–8.PubMedGoogle Scholar
  23. Abbott  KD, Ksiazek  TG, Mills  JN. Long-term hantavirus persistence in rodent populations in central Arizona. Emerg Infect Dis. 1999;5:102–12. DOIPubMedGoogle Scholar
  24. Billings  WD. Vegetational zonation in the Great Basin of western North America. International Union of Biological Sciences. Series B. 1951;9:101–22.
  25. Scott  J, Davis  F, Csuti  B, Noss  R, Butterfield  B, Groves  C, Gap analysis: a geographical approach to protection of biological diversity. Wildl Monogr. 1993;123:141.
  26. Tucker  C. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens Environ. 1979;8:127–50. DOIGoogle Scholar
  27. Tucker  C, Van Praet  C, Boerwinkel  E, Gaston  A. Satellite remote sensing of total dry matter production in the Senegalese Sahel. Remote Sens Environ. 1983;13:461–74. DOIGoogle Scholar
  28. Wessels  K, Van Jaarsveld  A, Grimbeek  J, Van Der Linde  M. An evaluation of the gradsect biological survey method. Biodivers Conserv. 1998;7:1093. DOIGoogle Scholar
  29. Desert Research Institute. Modeling the spatial and temporal dynamics of hantavirus infection in host populations. Available from URL:http://dia.dri.edu/hanta/
  30. Dobson  AP. Introduction. In: Grenfell BT, Dobson AP, editors. Ecology of infectious diseases in natural populations. Cambridge: Cambridge University Press; 1995. p. 1-19.
  31. Dobson  AP, Hudson  PJ. Microparasites: observed patterns. In: Grenfell BT, Dobson AP, editors. Ecology of infectious diseases in natural populations. Cambridge: Cambridge University Press; 1995. p. 52-89.
  32. Hurlbert  SH. Pseudoreplication and the design of ecological field experiments. Ecol Monogr. 1984;54:187–211. DOIGoogle Scholar
  33. Tabachnik  BG, Fidell  LS. Using multivariate statistics. 3rd ed. New York: Harper Collins; 1996. p. 507-8 and 514.
  34. Clark  L, Pregibon  D. Tree-based models. In: Chambers JM, Hastie TJ, editors. Statistical models in S. Pacific Grove (CA): Wadsworth and Brooks/Cole; 1992. p. 377-419.
  35. Schumaker  NH. Using landscape indices to predict habitat connectivity. Ecology. 1996;77:1218–25. DOIGoogle Scholar

Main Article

Page created: December 16, 2010
Page updated: December 16, 2010
Page reviewed: December 16, 2010
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
file_external