Using remotely sensed data to identify areas at risk for hantavirus pulmonary syndrome

Emerging Infectious Diseases

Volumn 6, Issue 3, 2000, Pages 238-247

  Glass, Gregory E ^a   Cheek, James E ^b   Patz, Jonathan A ^a   Shields, Timothy M ^a   Doyle, Timothy J ^c   Thoroughman, Douglas A ^b   Hunt, Darcy K ^b   Enscore, Russell E ^c   Gage, Kenneth L ^c   Irland, Charles ^b   Peters, C J ^c   Bryan, Ralph ^c  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b INDIAN HEALTH SERVICE   (United States)

^c CENTERS FOR DISEASE CONTROL AND PREVENTION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DISEASE TRANSMISSION; GEOGRAPHIC DISTRIBUTION; HANTAVIRUS; HUMAN; INFECTION RISK; LUNG INFECTION; NONHUMAN; PREVALENCE; REMOTE SENSING; RISK ASSESSMENT; VIRUS HEMORRHAGIC FEVER;

EID: 0034092356     PISSN: 10806040     EISSN: None     Source Type: Journal    
DOI: 10.3201/eid0603.000303     Document Type: Article

References (27)

1. Nichol ST, Spiropoulou CF, Morzunov S, Rollin PE, Ksiazek TG, Feldmann HS, et al. Genetic identification of a hantavirus associated with an outbreak of acute respiratory illness. Science 1993;262:615-8.
2. Childs JE, Ksiazek TG, Spriopoulou CF, Krebs JW, Morzunov S, Maupin GO, et al. 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.
3. Glass GE. Hantaviruses. Current Opinion in Infectious Diseases 1997;10:362-6.
4. Engelthaler D, Mosley D, Bryan R, Cheek J, Levy C, Komatsu K, et al. Investigation of climatic and environmental patterns in hantavirus pulmonary syndrome cases in the Four Corners states. Emerg Infect Dis 1999;5:87-94.
5. Parmenter RR, Brunt JW, Moore DI, Ernest S. The hantavirus epidemic in the Southwest: rodent population dynamics and the implications for transmission of hantavirus-associated adult respiratory distress syndrome (HARDS) in the Four Corners region. 41:1-44. University of New Mexico: Sevilleta LTER Publication; 1993.
6. Childs JE, Krebs JW, Ksiazek TG, Maupin GO, Gage KL, Rollin PE, et al. A household-based, case-control study of environmental factors associated with hantavirus pulmonary syndrome in the southwestern United States. Am J Trop Med Hyg 1995;52:393-7.
7. 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.
8. Mills JN, Ksiazek TG, Ellis BA, Rollin PE, Nichol ST, Yates TL, et al. 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.
9. Anderson RM, May RM. Infectious diseases of humans: dynamics and control. Oxford: Oxford University Press; 1991.
10. Simonsen L, Dalton MJ, Breiman RF, Hennessy T, Umland ET, Sewell M, et al. Evaluation of the magnitude of the 1993 hantavirus outbreak in the southwestern United States. J Infect Dis 1995;172:729-33.
11. Eastman JR. IDRISI for Windows. Worcester (MA): Clark University; 1995.
12. Chavez PS. Atmospheric, solar, and MTF corrections for ERTS digital imagery. American Society of Photogrammetry and Remote Sensing, Proceedings. 1975.
13. Cuzick J, Edwards R. Spatial clustering for in homogeneous populations. Journal of the Royal Statistical Society, Series B 1990;52:73-104.
14. Collett D. Modelling binary data. 2nd ed. London: Chapman & Hall; 1994.
15. Fletcher RH, Fletcher SW, Wagner EH. Clinical epidemiology-the essentials. Baltimore: Williams & Wilkins; 1982.
16. Simes RJ. An improved Bonferroni procedure for multiple tests of significance. Biometrika 1986;73:751-4.
17. Glass GE, Schwartz BS, Morgan JM, Johnson DT, Noy PM, Israel E. Environmental risk factors for Lyme disease identified with geographic information systems. Am J Public Health 1995;85:944-8.
18. Linthicum KJ, Bailey CL, Davies FG, Tucker CJ. Detection of Rift Valley fever viral activity in Kenya by satellite remote sensing imagery. Science 1987;235:1656-9.
19. Sabins FF. Remote sensing principles and interpretation. New York: W.H. Freeman and Company; 1997.
20. Beck LR, Rodriguez MH, Dister SW, Rodriguez A, Washino D, Roberts RK, et al. Assessment of a remote sensing-based model for predictingmalaria transmission risk in villages of Chiapas, Mexico. Am J Trop Med Hyg 1997;56:99-106.
21. Kitron U, Bouseman, JK, Jones CJ. Use of the ARC/ INFO GIS to study the distribution of Lyme disease ticks in an Illinois county. Prevent Vet Med 1991;11:243-8.
22. Malone JB, Fehler DP, Loyacano AF, Zukowski SH. Use of LANDSAT MSS imagery and soil type in a geographic information system to assess site-specific risk of fascioliasis on Red River basin farms in Louisiana. Tropical Veterinary Medicine: Current Issues and Perspectives 1992;653:389-97.
23. Rogers DJ, Randolph SE. Distribution of tsetse and ticks in Africa: past, present and future. Parasitology Today 1993;9:266-71.
24. Kitron U, Otieno LH, Hungerford LL, Odulaja A, Brigham WU, Okello OO, et al. Spatial analysis of the distribution of tsetse flies in the Lambwe Valley, Kenya, using Landsat TM satellite imagery and GIS. Journal of Animal Ecology 1996;65:371-80.
25. Kitron U, Kazmierczak JJ. Spatial analysis of the distribution of Lyme disease in Wisconsin. Am J Epidemiol 1997;145:1-8.
26. Malone JB, Abdel-Rahman MS, El Bahy MM, Huh OK, Shafik M, Bavia M. Geographic information systems and the distribution of Schistosoma mansoni in the Nile delta. Parasitology Today 1997;13:112-9.
27. Patz JA, Epstein PR, Burke TA, Balbus JM. Global climate change and emerging infectious diseases. JAMA 1995;275:217-23.