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Foreword Didier Fontenille General introduction Thibault Catry, Éric Daudé, Nadine Dessay, Annelise Tran Remote sensing concepts Introduction to GIS PART 1 - SPATIAL DATA FOR VECTOR MOSQUITO SURVEILLANCE AND ASSOCIATED DISEASES Chapter 1. Relationships between vector mosquitoes and the environment: the role of satellite remote sensing methods Renaud Marti, Claire Teillet, Hobiniaina Anthonio Rakotoarison, Florence Fournet Relationships between vector mosquitoes and the environment Description of the environment using satellite remote sensing methods Références Chapter 2. Spectral indices and classifications of multispectral images for vector risk mapping Annelise Tran, Renaud Marti, Vincent Herbreteau Mapping land cover using remotely sensed data in order to model the distribution of Anopheles mosquitoes in Camargue Spectral indices derived from remote sensing images employed as environmental factors in the analysis of human cases of West Nile fever in Europe Automated production of spectral indices: example of the Sen2Extract tool References Chapter 3. Estimation of air temperatures from satellite images and weather stations Barbara Boufhal, Alexandre Cebeillac, Éric Daudé Data to measure temperatures Air temperature estimation: different methods Applications to Bangkok Conclusion References Chapter 4. From census to buildings: generating synthetic populations Alexandre Cebeillac, Olivier Gillet, Éric Daudé Population disaggregation and redistribution Synthetic populations, a methodology which supports the fine-scale analysis of health-related issues Conclusion References Chapter 5. Satellite image texture and characterisation of urban environments favourable to vector mosquitoes Claire Teillet, Ophélie Hoarau, Nausicaa Habchi-Hanriot, Benjamin Pillot, Thibault Catry, Annelise Tran Different methods to characterise image texture Study of the relationships between urban variables and the distribution of dengue cases in Brasilia using a texture-based approach Map of potential larval habitat distribution of the Asian tiger mosquito on Reunion island Conclusion References PART 2 - ANALYSING AND PREDICTING THE EFFECT OF ENVIRONMENTAL VARIABLES ON THE DISTRIBUTION AND DYNAMICS OF VECTOR MOSQUITOES Chapter 6. Data-driven models: mapping the spatial distribution of vectors Yi Moua, Emmanuel Roux Species distribution models Maxent model Sampling bias and minimising its impact on modelling Application to the primary malaria vector in French Guiana Conclusion References Chapter 7. Knowledge-based models: example of a multi-criteria evaluation tool for public health Fanjasoa Rakotomanana, Hobiniaina Anthonio Rakotoarison GIS-based multi-criteria analysis, a knowledge-based approach Example of this method used to map the risk of malaria in the Malagasy Central Highlands Conclusion References Chapter 8. Arbocarto: a mechanistic model based on the life cycle of Aedes mosquitoes Renaud Marti, Marie Demarchi, Mathieu Castets, Annelise Tran A generic model built around the mosquito life cycle Adaptation of the model to the species Aedes albopictus and Aedes aegypti and spatialization Implementation, initialisation and simulation of Aedes mosquito abundance Arbocarto: a specialised interface for vector control measures References Chapter 9. Spatial simulation of the risk of dengue transmission using vector and host behavioural models Éric Daudé, Sébastien Rey-Coyrehourcq, Alexandre Cebeillac Individual-based and spatially explicit models Application to dengue in Bangkok: MO3, methods and data MO3 model simulations Conclusion References General conclusion and perspectives Thierry Baldet, Hélène Guis References Acknowledgements Glossary List of acronyms Authors

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