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dc.contributor.editorTran, Annelise
dc.contributor.editorDaudé, Éric
dc.contributor.editorCatry, Thibault
dc.date.accessioned2023-01-10T10:57:25Z
dc.date.available2023-01-10T10:57:25Z
dc.date.issued2022
dc.identifierONIX_20230110_9782759236282_11
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/60578
dc.languageFrench
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNX Industrial relations, occupational health and safety::KNXC Health and safety in the workplaceen_US
dc.subject.otherimage analysis
dc.subject.othermapping
dc.subject.othercontamination
dc.subject.otherissue
dc.subject.otherentomology
dc.subject.otherepidemiology
dc.subject.otherrisk management
dc.subject.otherbiological control
dc.subject.othermodelling
dc.subject.otherpest
dc.subject.otherprevention
dc.subject.otherhealth
dc.subject.otherinformation system
dc.subject.othervirus
dc.titleTélédétection et modélisation spatiale
dc.title.alternativeApplications à la surveillance et au contrôle des maladies liées aux moustiques
dc.typebook
oapen.abstract.otherlanguageMosquitoes are vectors of many disease-causing agents, such as malaria, dengue, chikungunya and yellow fever. According to the World Health Organisation, they cause several hundred thousand deaths each year. They are also the cause of zoonoses, such as Rift Valley fever and West Nile fever. In this context, there is a great need for operational tools to guide surveillance and control actions, both in the South - tropical and subtropical areas are the most affected by mosquito-borne diseases - and in the North, where the establishment of new species such as the tiger mosquito increases the risk of disease emergence. Earth observation imagery is of great interest to meet these needs: the spatial distribution and temporal dynamics of mosquitoes are influenced by climatic (temperature, precipitation, humidity) and environmental (availability of water areas, vegetation) variables, indicators of which can be derived from satellite imagery. Many recent studies have developed innovative methods combining remote sensing and spatial modelling to predict the spatial and temporal dynamics of mosquito vectors and associated diseases. Beyond the feasibility study, some of these methods have led to tools and processing chains that are now operational and used by public health actors and vector control operators. This book, intended for students and researchers as well as public health actors, presents a summary of this research work and these tools.
oapen.identifier.doi10.35690/978-2-7592-3629-9
oapen.relation.isPublishedByf3266e68-be04-43a2-896c-b3499f43d67e
oapen.relation.isbn9782759236282
oapen.relation.isbn9782759236299
oapen.relation.isbn9782759236305
oapen.pages148


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