Moloney, James M., Skelly, Chris, Weinstein, Philip, Maguire, Maxine, and Ritchie, Scott (1998) Domestic Aedes aegypti breeding site surveillance: limitations of remote sensing as a predictive surveillance tool. American Journal of Tropical Medicine and Hygiene, 59 (2). pp. 261-264.

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Abstract

This project tested aerial photography as a surveillance tool in identifying residential premises at high risk of Aedes aegypti breeding by extending the use of a recently developed, ground-based, rapid assessment technique, the modified Premise Condition Index (PCI2). During 1995, we inspected 360 premises in Townsville, Australia for Ae. aegypti breeding, and PCI2 scores were recorded. The PCI2 values were also estimated from 1:3,000 color and infrared aerial photograph interpretation for the same premises. We found that shade levels can be accurately identified from both color and infrared images, and the PCI2 can be accurately identified from infrared photographs. Yard conditions, however, cannot be accurately identified from either aerial photograph type. The airborne PCI2 did not significantly correlate with breeding measures, and logistic regression further demonstrated that neither aerial photograph type allows the accurate prediction of Ae. aegypti breeding risk. Therefore, the ability of low-level aerial photography to enhance Ae. aegypti breeding site surveillance is at present limited, with ground surveillance remaining our most reliable tool for identifying the probability of Ae. aegypti breeding in the residential environment.

Item ID:	46444
Item Type:	Article (Research - C1)
ISSN:	1476-1645
Related URLs:	Publisher
Funders:	Queensland Arbovirus Advisory Committee (QAAC), James Cook University (JCU)
Projects and Grants:	JCU Merit Research Grant
Date Deposited:	20 Nov 2016 22:59
FoR Codes:	11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111706 Epidemiology @ 30% 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050299 Environmental Science and Management not elsewhere classified @ 35% 09 ENGINEERING > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing @ 35%
SEO Codes:	92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920405 Environmental Health @ 100%
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