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Am J Epidemiol 2002; 156:662-668.
Copyright © 2002 by the Johns Hopkins Bloomberg School of Public Health

PRACTICE OF EPIDEMIOLOGY

Mapping Disease Incidence in Suburban Areas using Remotely Sensed Data

Annelise Tran1,2, Jacques Gardon1, Sacha Weber2 and Laurent Polidori2

1 Laboratoire d’Epidémiologie, Institut Pasteur de la Guyane, Cayenne, French Guiana.
2 Laboratoire Régional de Télédétection, Institut de Recherche pour le Développement Guyane, Cayenne, French Guiana.

A method using remotely sensed data was developed to map the incidence of Q fever in the vicinity of Cayenne, French Guiana. A satellite image was processed to map land cover and generate a population density index, which was used to determine areas of high disease incidence during the 1996–2000 period. A comparison with results obtained using population census data showed strong concordance between the two incidence maps. All high-incidence areas identified using population census data were also detected using remotely sensed data. This demonstrates the potential of remote sensing as a new tool for rapid mapping of disease incidence in epidemiologic surveys.

disease outbreaks; incidence; maps; population density; Q fever; remote sensing

Abbreviations: Abbreviations: HRV, high resolution visible; HRVIR, high resolution visible and infrared; IRIS, Ilots Regroupés pour l’Information Statistique; SPOT, Satellite Pour l’Observation de la Terre.


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