1. Anopheles fauna of coastal Cayenne, French Guiana: modelling and mapping of species presence using remotely sensed land cover data
- Author
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Sébastien Briolant, Romain Girod, Emmanuel Roux, Antoine Adde, Isabelle Dusfour, Institut Pasteur de la Guyane, Réseau International des Instituts Pasteur (RIIP), UMR 228 Espace-Dev, Espace pour le développement, Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)-Université de Guyane (UG)-Université des Antilles (UA), Direction Interarmées du Service de Santé en Guyane, Hôpital d'Instruction des Armées Laveran, Service de Santé des Armées, Hôpital de la Timone [CHU - APHM] (TIMONE), CNES-DGA-MRIS scholarship and a French army (Grant LR607e). This work has benefited from an investissement d’Avenir grant managed by the Agence Nationale de la Recherche (CEBA, ref. ANR-10-LABX-25-01). This study received a European commission REGPOTCT-2011-285837-STRonGer grant within the FP7., European Project: 285837,EC:FP7:REGPOT,FP7-REGPOT-2011-1,STRONGER(2011), Réseau International des Instituts Pasteur ( RIIP ), Université des Antilles ( UA ) -Université de Guyane ( UG ) -Université de Montpellier ( UM ) -Université de la Réunion ( UR ) -Université d'Avignon et des Pays de Vaucluse ( UAPV ) -Université Nice Sophia Antipolis ( UNS ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Université de Perpignan Via Domitia ( UPVD ) -Institut de Recherche pour le Développement ( IRD ), Hôpital de la Timone [CHU - APHM] ( TIMONE ), European Project : 285837,EC:FP7:REGPOT,FP7-REGPOT-2011-1,STRONGER ( 2011 ), and Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)
- Subjects
Satellite Imagery ,Marsh ,Fauna ,lcsh:QR1-502 ,Distribution (economics) ,MESH : Malaria ,lcsh:Microbiology ,0302 clinical medicine ,MESH: Satellite Imagery ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,MESH : Insect Vectors ,[ INFO.INFO-TI ] Computer Science [cs]/Image Processing ,Satellite imagery ,MESH: Animals ,030212 general & internal medicine ,Malaria vector ,computer.programming_language ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,[STAT.AP]Statistics [stat]/Applications [stat.AP] ,geography.geographical_feature_category ,biology ,Ecology ,Anopheles ,MESH : Spatio-Temporal Analysis ,Articles ,remote sensing technology ,French Guiana ,[ SDV.MHEP.MI ] Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,MESH : Anopheles ,[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] ,Seasons ,Cartography ,Microbiology (medical) ,MESH : French Guiana ,[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation ,lcsh:Arctic medicine. Tropical medicine ,Cayenne ,[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing ,lcsh:RC955-962 ,MESH: Population Density ,030231 tropical medicine ,MESH: Malaria ,malaria ,Land cover ,MESH: Insect Vectors ,[ SDV.EE ] Life Sciences [q-bio]/Ecology, environment ,MESH: Anopheles ,03 medical and health sciences ,Spatio-Temporal Analysis ,MESH: Spatio-Temporal Analysis ,MESH: French Guiana ,Animals ,14. Life underwater ,MESH : Population Density ,MESH : Satellite Imagery ,Population Density ,geography ,MESH : Seasons ,business.industry ,[ STAT.AP ] Statistics [stat]/Applications [stat.AP] ,15. Life on land ,biology.organism_classification ,[SDE.ES]Environmental Sciences/Environmental and Society ,[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation ,Insect Vectors ,MESH : Animals ,business ,computer ,MESH: Seasons ,[ SDE.ES ] Environmental Sciences/Environmental and Society - Abstract
International audience; Little is known about the Anopheles species of the coastal areas of French Guiana, or their spatiotemporal distribution or environmental determinants. The present study aimed to (1) document the distribution of Anopheles fauna in the coastal area around Cayenne, and (2) investigate the use of remotely sensed land cover data as proxies of Anopheles presence. To characterise the Anopheles fauna, we combined the findings of two entomological surveys that were conducted during the period 2007-2009 and in 2014 at 37 sites. Satellite imagery data were processed to extract land cover variables potentially related to Anopheles ecology. Based on these data, a methodology was formed to estimate a statistical predictive model of the spatial-seasonal variations in the presence of Anopheles in the Cayenne region. Two Anopheles species, known as main malaria vectors in South America, were identified, including the more dominant An. aquasalis near town and rural sites, and An. darlingi only found in inland sites. Furthermore, a cross-validated model of An. aquasalis presence that integrated marsh and forest surface area was extrapolated to generate predictive maps. The present study supports the use of satellite imagery by health authorities for the surveillance of malaria vectors and planning of control strategies.
- Published
- 2016