An overview of remote sensing and GIS for surveillance of mosquito vector habitats and risk assessment.
This paper provides a brief nontechnical overview of the use of remote sensing to achieve multiple objectives, focusing on mosquito management. It also shows how Geographic Information Systems, combined with remote sensing analysis, have the potential to assist in minimizing disease risk. Examples are used from subtropical Queensland, Australia, where the salt marsh mosquito, Aedes vigilax, and the freshwater species, Culex annulirostris, are vectors of human arbovirus diseases such as Ross River and Barmah Forest virus disease. Culex annulirostris is also implicated in the transmission of Japanese Encephalitis. Mapping the breeding habitats of the species facilitates assessment of the risk of contracting the diseases and also assists in control of the vectors. First, it considers a simple risk model that is applied to data for the city of Brisbane in southeast Queensland. This is then linked to computer-aided analysis of remotely sensed data to map potential ephemeral freshwater breeding sites of Cx. annulirostris. This has the potential to guide control at critical times, for example after heavy summer rainfall or when there is an outbreak of Ross River virus disease. Second, the use of color infrared aerial photography is used to identify the specific parts of the salt marsh in which larvae and eggs of Ae. vigilax are found. Finally, we explore novel ways to map the detailed pattern of water under mangrove forest canopy to identify where mosquitoes are breeding and as an aid to planning modification. For each we discuss the limitations and advantages and the possibilities for combining methods and/or using a single method for multiple objectives.
Dale
P E
PE
Australian School of Environmental Studies, Griffith University, Brisbane, Queensland.
Ritchie
S A
SA
Territo
B M
BM
Morris
C D
CD
Muhar
A
A
Kay
B H
BH
D000818:Animals; D001102:Arbovirus Infections / Q000635:transmission; D003199:Computer Systems; D009033:Culicidae; D006801:Humans; D007303:Insect Vectors; D008962:Models, Theoretical; D010781:Photography / Q000379:methods*; D011157:Population Dynamics; D018570:Risk Assessment