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

ISPRS International Journal of Geo-Information

Vanessa Machault³  André Ykima⁵  Manuel Etienne⁵  Cຜile Vignolles⁴  Philippe Palany¹  Yves M. Tourre⁶  Marine Guérຜheau³  Jean-Pierre Lacaux³  Fazlay S. Faruque² 

[1] Météo-France Direction Inter-Régionale Antilles-Guyane, Fort-de-France, Martinique 97888, France; E-Mail:Laboratoire d’Aérologie, Observatoire Midi-Pyrénées (OMP), Université Paul Sabatier, Toulouse 31400, France;;Laboratoire d’Aérologie, Observatoire Midi-Pyrénées (OMP), Université Paul Sabatier, Toulouse 31400, France; E-Mails:;Direction de la Stratégie et des Programmes/Terre-Environnement-Climat, Centre National d’Etudes Spatiales (CNES), Toulouse 31400, France; E-Mail:;Service de Démoustication et de Lutte Anti-vectorielle, Conseil Général de la Martinique/Agence Régionale de Santé (SD-LAV), Fort-de-France, Martinique 97262, France; E-Mails:;Lamont-Doherty Earth Observatory (LDEO) of Columbia University, Palisades, New York, NY 10964-1000, USA; E-Mail:

关键词: dengue;    remote-sensing;    risk mapping;    Aedes aegypti;    medical entomology;   

DOI  :  10.3390/ijgi3041352

来源: mdpi

【 摘 要 】

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 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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.