Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/106496
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Type: Journal article
Title: Improving public health intervention for mosquito-borne disease: the value of geovisualization using source of infection and LandScan data
Author: Flies, E.
WILLIAMS, C.
Weinstein, P.
Anderson, S.
Citation: Epidemiology and Infection, 2016; 144(14):3108-3119
Publisher: Cambridge University Press
Issue Date: 2016
ISSN: 0950-2688
1469-4409
Statement of
Responsibility: 
E. J. Flies, C. R. Williams, P. Weinstein and S. J. Anderson
Abstract: Epidemiological studies use georeferenced health data to identify disease clusters but the accuracy of this georeferencing is obfuscated by incorrectly assigning the source of infection and by aggregating case data to larger geographical areas. Often, place of residence (residence) is used as a proxy for the source of infection (source) which may not be accurate. Using a 21-year dataset from South Australia of human infections with the mosquito-borne Ross River virus, we found that 37% of cases were believed to have been acquired away from home. We constructed two risk maps using age-standardized morbidity ratios (SMRs) calculated using residence and patient-reported source. Both maps confirm significant inter-suburb variation in SMRs. Areas frequently named as the source (but not residence) and the highest-risk suburbs both tend to be tourist locations with vector mosquito habitat, and camping or outdoor recreational opportunities. We suggest the highest-risk suburbs as places to focus on for disease control measures. We also use a novel application of ambient population data (LandScan) to improve the interpretation of these risk maps and propose how this approach can aid in implementing disease abatement measures on a smaller scale than for which disease data are available.
Keywords: Epidemiology; geographical information systems; LandScan; public health; vector-borne disease
Description: First published online 23 June 2016
Rights: © Cambridge University Press 2016
RMID: 0030050038
DOI: 10.1017/S0950268816001357
Appears in Collections:Public Health publications

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