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Remote Sensing and Spatial Modelling

Applications to the surveillance and control of mosquito-borne diseases

de Annelise Tran (coordination scientifique), Eric Daudé (coordination scientifique), Thibault Catry (coordination scientifique)
juillet 2025
Ce livre est disponible en version papier sur notre site libraire.

Présentation

Mosquitoes are vectors of many disease-causing pathogens, including malaria, dengue, chikungunya, and yellow fever. According to the World Health Organization, these vector-borne diseases account for several hundred thousand deaths annually. They also cause zoonoses, such as Rift Valley fever and West Nile fever.

In this context, the development of operational tools to support surveillance and control strategies is essential—not only in countries of the Global South, where mosquito-borne diseases are most prevalent in tropical and subtropical regions, but also in the countries of the North, where the establishment of invasive species such as the tiger mosquito is increasing the risk of disease emergence. To address these challenges, Earth observation imagery offers valuable potential: the spatial distribution and seasonal dynamics of mosquito populations are closely linked to climatic factors (such as temperatures, rainfall, and humidity) and environmental variables (such as the presence of water bodies and vegetation), many of which can be monitored through satellite data.

Numerous recent studies have led to the development of innovative methods that combine remote sensing with spatial modelling to predict the spatial and temporal dynamics of vector mosquitoes and associated diseases. Moving beyond proof-of-concept, some of these approaches have given rise to operational tools and processing chains that are now actively used by public health authorities and vector control agencies.

This book, intended for students, researchers, and public health professionals, offers a synthesis of current research and operational tools in the field.

Sommaire

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 Brasília 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

Publications dans la même collection

Dans la même thématique

Caractéristiques

Langue(s) : Anglais

Editeur : Éditions Quae

Edition : 1ère édition

Collection : Update Sciences & technologies

Publication : 7 juillet 2025

EAN13 eBook : 9782759241026

Nombre de pages eBook : 148

Intérieur : Couleur

Référence eBook : 03016NUM

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