The spreading dynamic of the 2004 dengue fever outbreak that occurred in Tartagal, Northwestern Argentina, was investigated. A total of 487 suspected dengue cases were recorded and geo-referenced. Maps of daily cases were generated for the 109 days of the outbreak. The epidemic affected the majority of the city within 11 days. The age-distribution of the cases was different from the population age-distribution. The spatio-temporal clustering of the cases was analyzed using Knox test concept. Results of the space and time geo-referencing of the cases showed outbreak spotlights and spreading patterns that could be related to entomologic and epidemiologic factors. An environmental risk prediction model was developed based on a synthetic multi-band image created from LandSat 5 TM satellite image. The potential and limitations of remote sensing data and spatial statistics as landscape epidemiology tools for a dengue surveillance strategy and prevention are discussed.
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