Mapping Entomological Dengue Risk Levels in Martinique Using High-Resolution Remote-Sensing Environmental Data

Abstract

Controlling dengue virus transmission mainly involves integrated vector management. Risk maps at appropriate scales can provide valuable information for assessing entomological risk levels. Here, results from a spatio-temporal model of dwellings potentially harboring Aedes aegypti larvae from 2009 to 2011 in Tartane (Martinique, French Antilles) using high spatial resolution remote-sensing environmental data and field entomological and meteorological information are presented. This tele-epidemiology methodology allows monitoring the dynamics of diseases closely related to weather/climate and environment variability. A Geoeye-1 image was processed to extract landscape elements that could surrogate societal or biological information related to the life cycle of Aedes vectors. These elements were subsequently included into statistical OPEN ACCESS ISPRS Int. J. Geo-Inf. 2014, 3 1353 models with random effect. Various environmental and meteorological conditions have indeed been identified as risk/protective factors for the presence of Aedes aegypti immature stages in dwellings at a given date. These conditions were used to produce dynamic high spatio-temporal resolution maps from the presence of most containers harboring larvae. The produced risk maps are examples of modeled entomological maps at the housing level with daily temporal resolution. This finding is an important contribution to the development of targeted operational control systems for dengue and other vector-borne diseases, such as chikungunya, which is also present in Martinique.

Complementarity of empirical and process-based approaches to modelling mosquito population dynamics with Aedes albopictus as an example—Application to the development of an operational mapping tool of vector populations

“…high spatial resolution imagery to assess the availability of oviposition sites [58], or imagery with a frequent revisit period to derive rainfall or temperature proxies [59]. The implementation of remote sensing-based population dynamics models would represent a significant advance in the development and dissemination of operational tools for real-time monitoring of vector-borne diseases.…”

Pitch and Flat Roof Factors’ Association with Spatiotemporal Patterns of Dengue Disease Analysed Using Pan-Sharpened Worldview 2 Imagery

“…The use of HSR imagery for mosquito-borne diseases has become increasingly popular [10,11] with the use of Satellite Pour l'Observation de la Terre (SPOT) 5 [23], IKONOS [24], and QuickBird [25] for Malaria disease studies. For dengue disease studies, QuickBird [12,26], Geoeye-1 [27], and aerial images [28] have been used, although there is no mention of Worldview 2 in that body of literature [10]. The objectives of the present study were to identify the association of roof construction (PR or FR) with dengue disease patterns (DDPs) by demonstrating integration of HSR images with DDP spatiotemporally.…”

Remote Sensing and Geospatial Technologies in Public Health

“…In the paper, "Mapping Entomological Dengue Risk Levels in Martinique Using High-Resolution Remote-Sensing Environmental Data", Machault et al discuss the development of entomological risk levels of dengue virus transmission in Martinique, French Antilles through the use of high spatial resolution remote-sensing environmental data along with field entomological and meteorological data [8]. In this paper, they demonstrate the use of the high resolution Geoeye-1 image to extract landscape elements which surrogate societal or biological information related to the life cycle of Aedes vectors.…”