Identification of environmental covariates of west nile virus vector mosquito population abundance

Vector-Borne and Zoonotic Diseases

Volumn 10, Issue 5, 2010, Pages 515-526

  Trawinski, Patricia R ^a   MacKay, D Scott ^a  

^a UNIVERSITY AT BUFFALO   (United States)

Author keywords

Arbovirus(es); Modeling; Population; Vector; West Nile

Indexed keywords

AEDES; ARTICLE; CULEX PIPIENS; LANDSCAPE; NONHUMAN; POPULATION ABUNDANCE; POPULATION DENSITY; PRIORITY JOURNAL; URBAN AREA; WEST NILE FLAVIVIRUS; ANIMAL; BIOLOGICAL MODEL; CULEX; DISEASE CARRIER; ENVIRONMENT; EPIDEMIOLOGY; HUMAN; PHYSIOLOGY; STATISTICAL MODEL; TRANSMISSION; UNITED STATES; VIROLOGY; WEST NILE FEVER;

AEDES VEXANS; ARBOVIRUS; CULEX PIPIENS; WEST NILE VIRUS;

AEDES; ANIMALS; CULEX; ENVIRONMENT; HUMANS; INSECT VECTORS; LINEAR MODELS; MODELS, BIOLOGICAL; NEW YORK; POPULATION DENSITY; WEST NILE FEVER; WEST NILE VIRUS;

EID: 77954209622     PISSN: 15303667     EISSN: None     Source Type: Journal    
DOI: 10.1089/vbz.2008.0063     Document Type: Article

References (29)

1. Anderson, JR. A Land Use and Land Cover Classification System for Use with Remote Sensor Data. United States Government Print Office, New York; 1976.
2. Andreadis, TG, Anderson, JF, Vossbrinck, CR, Main, AJ. Epidemiology of West Nile virus in Connecticut: a five-year analysis of mosquito data 1999-2003. Vector Borne Zoonot Dis 2004; 4:360-378.
3. Barnes, CM, Cibula, WG. Some implications of remote sensing technology in insect control programs including mosquitoes. Mosq News 1979; 39:271-282.
4. Beck, LR, Rodriguez, AD, Dister, SW. Assessment of a remote sensing-based model for predicting malaria transmission risk in villages of Chiapas, Mexico. Am J Trop Med Hyg 1997; 56:99-106.
5. Beck, LR, Rodriguez, MH, Dister, SW, Rodriguez, AD, et al. Remote sensing as a landscape epidemiologic tool to identify villages at high risk for malaria transmission. Am J Trop Med Hyg 1994; 5:271-280.
6. Brown, HE, Childs, JE, Diuk-Wasser, MA, Fish, D. Ecological factors associated with West Nile virus transmission, northeastern United States. Emerg Infect Dis 2008; 14:1539-1545.
7. Brownstein, JS, Rosen, H, Purdy, D, Miller, JR, et al. Spatial analysis of West Nile virus: Rapid risk assessment of an introduced vector-borne zoonosis. Vector Borne Zoonot Dis 2002; 2:157-164.
8. De'ath, G, Fabricius, KE. Classification and regression trees: a powerful yet simple technique for ecological data analysis. Ecology 2000; 81:3178-3192.
9. DeGaetano, AT. Meteorological effects on adult mosquito (Culex) populations in metropolitan New Jersey. Int J Biometeorol 2005; 49:345-353.
10. Dister, SW, Fish, D, Bros, SM, Frank, DH, et al. Landscape characterization of peridomestic risk for Lyme disease using satellite imagery. Am J Trop Med Hyg 1997; 57:687-692.
11. Diuk-Wasser, MA, Brown, HE, Andreadis, TG, Fish, D. Modeling the spatial distribution of mosquito vectors for West Nile virus in Connecticut, USA. Vector Borne Zoonot Dis 2006; 6:283-295.
12. Glass, GE, Schwartz, BS, Morgan, JM, III, Johnson, DT, et al. Environmental risk factors for Lyme disease identified with geographic information systems. Am J Public Health 1995; 85:944-948.
13. Hayes, RO, Maxwell, EL, Mitchell, CJ, Woodzick, TL. Detection, identification, and classification of mosquito larval habitats using remote sensing scanners in earth-orbiting satellites. Bull World Health Organ 1985; 63:361-374.
14. Hugh-Jones, M, Barre, N, Nelson, G, Wehnes, K, et al. Landsat-TM identification of Amblyomma variegatum (Acari: Ixodidae) habitats in Guadeloupe. Remote Sens Environ 1992; 40:43-55.
15. Kilpatrick, AM, Kramer, LD, Campbell, SR, Alleyne, EO, et al. West Nile virus risk assessment and the bridge vector paradigm. Emerg Infect Dis 2005; 11:425-429.
16. Lillesand, TM, Kiefer, RW. Remote Sensing and Image Interpretation. New York: John Wiley & Sons, Inc., 1994.
17. Maupin, GO, Fish, D, Zultowsky, J, Campos, EG, et al. Landscape ecology of Lyme disease in a residential area of Westchester County, New York. Am J Epidemiol 1991; 133: 1105-1113.
18. Moncayo, AC, Edman, JD, Finn, JT. Application of geographic information technology in determining risk of eastern equine encephalomyelitis virus transmission. J Am Mosq Control Assoc 2000; 16:28-35.
19. Pope, KO, Rejmankova, E, Savage, HM, Arredondo-Jimenez, JI, et al. Remote sensing of tropical wetlands for malaria control in Chiapas, Mexico. Ecol Appl 1994; 4:81-90.
20. Pope, KO, Sheffner, EJ, Linthicum, KJ, Bailey, CL, et al. Identification of central Kenyan Rift Valley fever virus vector habitats with Landsat TM and evaluation of their flooding status with airborne imaging radar. Remote Sens Environ 1992; 40:185-196.
21. Pratt, HD, Moore, CG. Mosquitoes of Public Health Importance and Their Control. Atlanta, GA: Centers for Disease Control and Prevention, United States Department of Health and Human Services, 1993.
22. Trawinski, PR, Mackay, DS. Meteorologically conditioned timeseries predictions of West Nile virus vector mosquitoes. Vector Borne Zoonot Dis 2008; 8:505-522.
23. Trawinski, PR, Mackay, DS. Spatial autocorrelation of West Nile virus vector mosquito abundance in a seasonally wet suburban environment. J Geogr Syst 2009; 11:67-87.
24. Turell, MJ, Dohm, DJ, Sardelis, MR, O'guinn, ML, et al. An update on the potential of North American mosquitoes (Diptera: Culicidae) to transmit West Nile virus. J Med Entomol 2005; 42:57-62.
25. Turell, MJ, O'Guinn, M, Oliver, J. Potential for New York mosquitoes to transmit West Nile virus. Am J Trop Med Hyg 2000; 62:413-414.
26. Wagner, VE, Hill-Rowley, R, Narlock, SA, Newson, HD. Remote sensing: a rapid and accurate method of data acquisition for a newly formed mosquito control district. Mosq News 1979; 30:283-287.
27. White, BJ, Andrew, DR, Mans, NZ, Ohajuruka, OA, et al. West Nile virus in mosquitoes of northern Ohio, 2003. Am J Trop Med Hyg 2006; 75:346-349.
28. Wood, BL, Beck, LR, Washino, RK, Hibbard, KA, et al. Estimating high mosquito-producing rice fields using spectral and spatial data. Int J Remote Sens 1992; 13:2813-2826.
29. Wood, BL, Beck, LR, Washino, RK, Palchick, SM, et al. Spectral and spatial characterization of rice field mosquito habitat. Int J Remote Sens 1991; 12:621-626.