Quae
1776710506
20260420
fre
www.quae.com-004541
03
01
01
004541
03
9782759241019
15
9782759241019
00
BA
02
160
mm
01
240
mm
08
260
gr
02
10
01
02
Update Sciences & technologies
Cette collection publie des ouvrages en français ou en anglais faisant le point sur des avancées récentes dans les domaines des sciences et des technologies. Elle est destinée aux spécialistes du domaine.
01
01
Remote Sensing and Spatial Modelling
Applications to the surveillance and control of mosquito-borne diseases
1
B15
01
A2526
16
0000000509768224
21
0000-0001-5463-332X
Annelise Tran
Tran, Annelise
Annelise
Tran
<p>Annelise Tran est chercheuse au Cirad, au sein de l’UMR TETIS à Montpellier. Ses recherches portent sur le développement de méthodes en télédétection et modélisation spatiale avec des applications dans le domaine de la santé.<br></p>
<p>Annelise Tran is a researcher at CIRAD, within the UMR TETIS in Montpellier. Her research focuses on the development of methods in remote sensing and spatial modelling with applications in the field of health.<br></p>
2
B15
01
A2580
16
0000000431138889
21
0000-0001-8656-3346
Eric Daudé
Daudé, Eric
Eric
Daudé
<p>Éric Daudé est directeur de recherche au CNRS et directeur adjoint de l’UMR IDEES à Normandie Université. Ses recherches portent sur l’étude de la vulnérabilité des territoires aux risques et le développement de méthodes de modélisation spatiale appliquées à la gestion de crise.<br></p>
<p>Éric Daudé is a research director at the CNRS and deputy director of the UMR IDEES at Normandy University. His research explores the vulnerability of territories to natural, technological, and environmental risks, and focuses on developing spatial modelling approaches to support crisis management and informed decision-making.<br></p>
3
B15
01
A2527
16
0000000509768232
21
0000-0001-9514-1751
Thibault Catry
Catry, Thibault
Thibault
Catry
<p>Thibault Catry est ingénieur de recherche en télédétection à l’IRD, au sein de l’UMR Espace-dev à Montpellier. Il développe des méthodes de traitement de l’imagerie satellite pour la caractérisation des dynamiques environnementales, avec un intérêt particulier pour les relations entre environnement et santé.<br></p>
<p>Thibault Catry is a research engineer in remote sensing at IRD, within the UMR Espace-dev in Montpellier. He develops processing methods for satellite imagery dedicated to the characterization of environmental dynamics, with a particular interest in the relationship between environment and health.<br></p>
1
01
eng
00
148
03
02
24
Izibook:Subject
Pays du sud
24
Izibook:Subject
Milieux naturels et environnement
24
Izibook:Subject
Sciences sociales, politiques, économiques
24
Izibook:Subject
Sciences de la vie et de la terre
24
Izibook:Subject
Santé
24
Izibook:Subject
Impression à la demande
24
Izibook:SubjectAndCategoryAndTags
|Pays du sud|
24
Izibook:SubjectAndCategoryAndTags
|Milieux naturels et environnement|Climat;Biodiversité, flores et faunes
24
Izibook:SubjectAndCategoryAndTags
|Sciences sociales, politiques, économiques|Politiques. Expertise
24
Izibook:SubjectAndCategoryAndTags
|Sciences de la vie et de la terre|Ecologie générale;Techniques et méthodes
24
Izibook:SubjectAndCategoryAndTags
|Santé|
24
Izibook:SubjectAndCategoryAndTags
|Impression à la demande|
23
Izibook:NewTags
Milieux naturels et environnement|Climat;Biodiversité, flores et faunes
23
Izibook:NewTags
Sciences sociales, politiques, économiques|Politiques. Expertise
23
Izibook:NewTags
Sciences de la vie et de la terre|Ecologie générale;Techniques et méthodes
20
Télédétection;modélisation;épidémiologie;santé humaine;gestion des risques;moustique;zoonose
10
2011
MED022000
10
2011
MED028000
10
2011
TEC036000
29
3169
29
3415
01
551.028
01
614.4
01
614.432 3
03
00
<p><b>This Print On Demand book will be sent within 3 weeks (metropolitan France) and in a separate package if you order another paperback book.</b></p><p><b>Cet ouvrage en impression à la demande sera envoyé sous 3 semaines environ (France métropolitaine) et dans un colis séparé en cas de commande avec un autre livre papier.</b></p><p>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.</p><p>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.</p><p>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.</p><p>This book, intended for students, researchers, and public health professionals, offers a synthesis of current research and operational tools in the field.</p><p><b><u><a href="http://editions-quae.com/PDF/extrait-remote-sensing-and-spatial-modelling-9782759241026.pdf" target="_blank">Read the foreword (Didier Fontenille - Medical Entomologist, Research Director IRD, UMR MIVEGEC (University of Montpellier, IRD, CNRS)</a></u></b></p><p><b>This book is available in French: <i><a href="https://www.quae.com/produit/1784/9782759236299/teledetection-et-modelisation-spatiale" target="_blank">Télédétection et modélisation spatiale</a></i></b></p>
<p><b>This Print On Demand book will be sent within 3 weeks (metropolitan France) and in a separate package if you order another paperback book.</b></p><p>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.</p><p>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.</p><p>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.</p><p>This book, intended for students, researchers, and public health professionals, offers a synthesis of current research and operational tools in the field.</p><p><u><a href="http://editions-quae.com/PDF/extrait-remote-sensing-and-spatial-modelling-9782759241026.pdf" target="_blank">Read the foreword (Didier Fontenille - Medical Entomologist, Research Director IRD, UMR MIVEGEC (University of Montpellier, IRD, CNRS)</a></u></p><p><b>This book is available in French: <i><a href="https://www.quae.com/produit/1784/9782759236299/teledetection-et-modelisation-spatiale" target="_blank">Télédétection et modélisation spatiale</a></i></b></p>
02
00
<p>Mosquito-borne diseases are a major public health burden in many parts of the world. This book presents a synthesis of research combining remote sensing and spatial modeling to predict the spatial and temporal dynamics of these diseases. </p>
04
00
<h4>Foreword</h4><h6>Didier Fontenille</h6><h4>General introduction</h4><h6>Thibault Catry, Éric Daudé, Nadine Dessay, Annelise Tran</h6><h5>Remote sensing concepts</h5><h5>Introduction to GIS</h5><h3>Part 1 - Spatial data for vector mosquito surveillance and associated diseases</h3><h4>Chapter 1. Relationships between vector mosquitoes and the environment: the role of satellite remote sensing methods</h4><h6>Renaud Marti, Claire Teillet, Hobiniaina Anthonio Rakotoarison, Florence Fournet</h6><h5>Relationships between vector mosquitoes and the environment</h5><h5>Description of the environment using satellite remote sensing methods</h5><h5>Références</h5><h4>Chapter 2. Spectral indices and classifications of multispectral images for vector risk mapping</h4><h6>Annelise Tran, Renaud Marti, Vincent Herbreteau</h6><h5>Mapping land cover using remotely sensed data in order to model the distribution of Anopheles mosquitoes in Camargue</h5><h5>Spectral indices derived from remote sensing images employed as environmental factors in the analysis of human cases of West Nile fever in Europe</h5><h5>Automated production of spectral indices: example of the Sen2Extract tool</h5><h5>References</h5><h4>Chapter 3. Estimation of air temperatures from satellite images and weather stations</h4><h6>Barbara Boufhal, Alexandre Cebeillac, Éric Daudé</h6><h5>Data to measure temperatures</h5><h5>Air temperature estimation: different methods</h5><h5>Applications to Bangkok</h5><h5>Conclusion</h5><h5>References</h5><h4>Chapter 4. From census to buildings: generating synthetic populations</h4><h6>Alexandre Cebeillac, Olivier Gillet, Éric Daudé</h6><h5>Population disaggregation and redistribution</h5><h5>Synthetic populations, a methodology which supports the fine-scale analysis of health-related issues</h5><h5>Conclusion</h5><h5>References</h5><h4>Chapter 5. Satellite image texture and characterisation of urban environments favourable to vector mosquitoes</h4><h6>Claire Teillet, Ophélie Hoarau, Nausicaa Habchi-Hanriot, Benjamin Pillot, Thibault Catry, Annelise Tran</h6><h5>Different methods to characterise image texture</h5><h5>Study of the relationships between urban variables and the distribution of dengue cases in Brasília using a texture-based approach</h5><h5>Map of potential larval habitat distribution of the Asian tiger mosquito on Reunion island</h5><h5>Conclusion</h5><h5>References</h5><h3>Part 2 - Analysing and predicting the effect of environmental variables on the distribution and dynamics of vector mosquitoes</h3><h4>Chapter 6. Data-driven models: mapping the spatial distribution of vectors</h4><h6>Yi Moua, Emmanuel Roux</h6><h5>Species distribution models</h5><h5>Maxent model</h5><h5>Sampling bias and minimising its impact on modelling</h5><h5>Application to the primary malaria vector in French Guiana</h5><h5>Conclusion</h5><h5>References</h5><h4>Chapter 7. Knowledge-based models: example of a multi-criteria evaluation tool for public health</h4><h6>Fanjasoa Rakotomanana, Hobiniaina Anthonio Rakotoarison</h6><h5>GIS-based multi-criteria analysis, a knowledge-based approach</h5><h5>Example of this method used to map the risk of malaria in the Malagasy Central Highlands</h5><h5>Conclusion</h5><h5>References</h5><h4>Chapter 8. Arbocarto: a mechanistic model based on the life cycle of Aedes mosquitoes</h4><h6>Renaud Marti, Marie Demarchi, Mathieu Castets, Annelise Tran</h6><h5>A generic model built around the mosquito life cycle</h5><h5>Adaptation of the model to the species Aedes albopictus and Aedes aegypti and spatialization</h5><h5>Implementation, initialisation and simulation of Aedes mosquito abundance</h5><h5>Arbocarto: a specialised interface for vector control measures</h5><h5>References</h5><h4>Chapter 9. Spatial simulation of the risk of dengue transmission using vector and host behavioural models</h4><h6>Éric Daudé, Sébastien Rey-Coyrehourcq, Alexandre Cebeillac</h6><h5>Individual-based and spatially explicit models</h5><h5>Application to dengue in Bangkok: MO3, methods and data</h5><h5>MO3 model simulations</h5><h5>Conclusion</h5><h5>References</h5><h4>General conclusion and perspectives</h4><h6>Thierry Baldet, Hélène Guis</h6><h5>References</h5><h4>Acknowledgements</h4><h4>Glossary</h4><h4>List of acronyms</h4><h4>Authors</h4>
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Applications to the surveillance and control of mosquito-borne diseases
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https://creativecommons.org/licenses/by-nc-nd/2.0/fr/
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Update Sciences & technologies
Cette collection publie des ouvrages en français ou en anglais faisant le point sur des avancées récentes dans les domaines des sciences et des technologies. Elle est destinée aux spécialistes du domaine.
01
01
Remote Sensing and Spatial Modelling
Applications to the surveillance and control of mosquito-borne diseases
1
B15
01
A2526
16
0000000509768224
21
0000-0001-5463-332X
Annelise Tran
Tran, Annelise
Annelise
Tran
<p>Annelise Tran est chercheuse au Cirad, au sein de l’UMR TETIS à Montpellier. Ses recherches portent sur le développement de méthodes en télédétection et modélisation spatiale avec des applications dans le domaine de la santé.<br></p>
<p>Annelise Tran is a researcher at CIRAD, within the UMR TETIS in Montpellier. Her research focuses on the development of methods in remote sensing and spatial modelling with applications in the field of health.<br></p>
2
B15
01
A2580
16
0000000431138889
21
0000-0001-8656-3346
Eric Daudé
Daudé, Eric
Eric
Daudé
<p>Éric Daudé est directeur de recherche au CNRS et directeur adjoint de l’UMR IDEES à Normandie Université. Ses recherches portent sur l’étude de la vulnérabilité des territoires aux risques et le développement de méthodes de modélisation spatiale appliquées à la gestion de crise.<br></p>
<p>Éric Daudé is a research director at the CNRS and deputy director of the UMR IDEES at Normandy University. His research explores the vulnerability of territories to natural, technological, and environmental risks, and focuses on developing spatial modelling approaches to support crisis management and informed decision-making.<br></p>
3
B15
01
A2527
16
0000000509768232
21
0000-0001-9514-1751
Thibault Catry
Catry, Thibault
Thibault
Catry
<p>Thibault Catry est ingénieur de recherche en télédétection à l’IRD, au sein de l’UMR Espace-dev à Montpellier. Il développe des méthodes de traitement de l’imagerie satellite pour la caractérisation des dynamiques environnementales, avec un intérêt particulier pour les relations entre environnement et santé.<br></p>
<p>Thibault Catry is a research engineer in remote sensing at IRD, within the UMR Espace-dev in Montpellier. He develops processing methods for satellite imagery dedicated to the characterization of environmental dynamics, with a particular interest in the relationship between environment and health.<br></p>
1
01
eng
08
148
03
02
24
Izibook:Subject
Pays du sud
24
Izibook:Subject
Milieux naturels et environnement
24
Izibook:Subject
Sciences sociales, politiques, économiques
24
Izibook:Subject
Sciences de la vie et de la terre
24
Izibook:Subject
Santé
24
Izibook:Subject
Impression à la demande
24
Izibook:SubjectAndCategoryAndTags
|Pays du sud|
24
Izibook:SubjectAndCategoryAndTags
|Milieux naturels et environnement|Climat;Biodiversité, flores et faunes
24
Izibook:SubjectAndCategoryAndTags
|Sciences sociales, politiques, économiques|Politiques. Expertise
24
Izibook:SubjectAndCategoryAndTags
|Sciences de la vie et de la terre|Ecologie générale;Techniques et méthodes
24
Izibook:SubjectAndCategoryAndTags
|Santé|
24
Izibook:SubjectAndCategoryAndTags
|Impression à la demande|
23
Izibook:NewTags
Milieux naturels et environnement|Climat;Biodiversité, flores et faunes
23
Izibook:NewTags
Sciences sociales, politiques, économiques|Politiques. Expertise
23
Izibook:NewTags
Sciences de la vie et de la terre|Ecologie générale;Techniques et méthodes
20
Télédétection;modélisation;épidémiologie;santé humaine;gestion des risques;moustique;zoonose
10
2011
MED022000
10
2011
MED028000
10
2011
TEC036000
29
3169
29
3415
01
551.028
01
614.4
01
614.432 3
03
00
<p><b>This Print On Demand book will be sent within 3 weeks (metropolitan France) and in a separate package if you order another paperback book.</b></p><p><b>Cet ouvrage en impression à la demande sera envoyé sous 3 semaines environ (France métropolitaine) et dans un colis séparé en cas de commande avec un autre livre papier.</b></p><p>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.</p><p>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.</p><p>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.</p><p>This book, intended for students, researchers, and public health professionals, offers a synthesis of current research and operational tools in the field.</p><p><b><u><a href="http://editions-quae.com/PDF/extrait-remote-sensing-and-spatial-modelling-9782759241026.pdf" target="_blank">Read the foreword (Didier Fontenille - Medical Entomologist, Research Director IRD, UMR MIVEGEC (University of Montpellier, IRD, CNRS)</a></u></b></p><p><b>This book is available in French: <i><a href="https://www.quae.com/produit/1784/9782759236299/teledetection-et-modelisation-spatiale" target="_blank">Télédétection et modélisation spatiale</a></i></b></p>
<p><b>This Print On Demand book will be sent within 3 weeks (metropolitan France) and in a separate package if you order another paperback book.</b></p><p>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.</p><p>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.</p><p>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.</p><p>This book, intended for students, researchers, and public health professionals, offers a synthesis of current research and operational tools in the field.</p><p><u><a href="http://editions-quae.com/PDF/extrait-remote-sensing-and-spatial-modelling-9782759241026.pdf" target="_blank">Read the foreword (Didier Fontenille - Medical Entomologist, Research Director IRD, UMR MIVEGEC (University of Montpellier, IRD, CNRS)</a></u></p><p><b>This book is available in French: <i><a href="https://www.quae.com/produit/1784/9782759236299/teledetection-et-modelisation-spatiale" target="_blank">Télédétection et modélisation spatiale</a></i></b></p>
02
00
<p>Mosquito-borne diseases are a major public health burden in many parts of the world. This book presents a synthesis of research combining remote sensing and spatial modeling to predict the spatial and temporal dynamics of these diseases. </p>
04
00
<h4>Foreword</h4><h6>Didier Fontenille</h6><h4>General introduction</h4><h6>Thibault Catry, Éric Daudé, Nadine Dessay, Annelise Tran</h6><h5>Remote sensing concepts</h5><h5>Introduction to GIS</h5><h3>Part 1 - Spatial data for vector mosquito surveillance and associated diseases</h3><h4>Chapter 1. Relationships between vector mosquitoes and the environment: the role of satellite remote sensing methods</h4><h6>Renaud Marti, Claire Teillet, Hobiniaina Anthonio Rakotoarison, Florence Fournet</h6><h5>Relationships between vector mosquitoes and the environment</h5><h5>Description of the environment using satellite remote sensing methods</h5><h5>Références</h5><h4>Chapter 2. Spectral indices and classifications of multispectral images for vector risk mapping</h4><h6>Annelise Tran, Renaud Marti, Vincent Herbreteau</h6><h5>Mapping land cover using remotely sensed data in order to model the distribution of Anopheles mosquitoes in Camargue</h5><h5>Spectral indices derived from remote sensing images employed as environmental factors in the analysis of human cases of West Nile fever in Europe</h5><h5>Automated production of spectral indices: example of the Sen2Extract tool</h5><h5>References</h5><h4>Chapter 3. Estimation of air temperatures from satellite images and weather stations</h4><h6>Barbara Boufhal, Alexandre Cebeillac, Éric Daudé</h6><h5>Data to measure temperatures</h5><h5>Air temperature estimation: different methods</h5><h5>Applications to Bangkok</h5><h5>Conclusion</h5><h5>References</h5><h4>Chapter 4. From census to buildings: generating synthetic populations</h4><h6>Alexandre Cebeillac, Olivier Gillet, Éric Daudé</h6><h5>Population disaggregation and redistribution</h5><h5>Synthetic populations, a methodology which supports the fine-scale analysis of health-related issues</h5><h5>Conclusion</h5><h5>References</h5><h4>Chapter 5. Satellite image texture and characterisation of urban environments favourable to vector mosquitoes</h4><h6>Claire Teillet, Ophélie Hoarau, Nausicaa Habchi-Hanriot, Benjamin Pillot, Thibault Catry, Annelise Tran</h6><h5>Different methods to characterise image texture</h5><h5>Study of the relationships between urban variables and the distribution of dengue cases in Brasília using a texture-based approach</h5><h5>Map of potential larval habitat distribution of the Asian tiger mosquito on Reunion island</h5><h5>Conclusion</h5><h5>References</h5><h3>Part 2 - Analysing and predicting the effect of environmental variables on the distribution and dynamics of vector mosquitoes</h3><h4>Chapter 6. Data-driven models: mapping the spatial distribution of vectors</h4><h6>Yi Moua, Emmanuel Roux</h6><h5>Species distribution models</h5><h5>Maxent model</h5><h5>Sampling bias and minimising its impact on modelling</h5><h5>Application to the primary malaria vector in French Guiana</h5><h5>Conclusion</h5><h5>References</h5><h4>Chapter 7. Knowledge-based models: example of a multi-criteria evaluation tool for public health</h4><h6>Fanjasoa Rakotomanana, Hobiniaina Anthonio Rakotoarison</h6><h5>GIS-based multi-criteria analysis, a knowledge-based approach</h5><h5>Example of this method used to map the risk of malaria in the Malagasy Central Highlands</h5><h5>Conclusion</h5><h5>References</h5><h4>Chapter 8. Arbocarto: a mechanistic model based on the life cycle of Aedes mosquitoes</h4><h6>Renaud Marti, Marie Demarchi, Mathieu Castets, Annelise Tran</h6><h5>A generic model built around the mosquito life cycle</h5><h5>Adaptation of the model to the species Aedes albopictus and Aedes aegypti and spatialization</h5><h5>Implementation, initialisation and simulation of Aedes mosquito abundance</h5><h5>Arbocarto: a specialised interface for vector control measures</h5><h5>References</h5><h4>Chapter 9. Spatial simulation of the risk of dengue transmission using vector and host behavioural models</h4><h6>Éric Daudé, Sébastien Rey-Coyrehourcq, Alexandre Cebeillac</h6><h5>Individual-based and spatially explicit models</h5><h5>Application to dengue in Bangkok: MO3, methods and data</h5><h5>MO3 model simulations</h5><h5>Conclusion</h5><h5>References</h5><h4>General conclusion and perspectives</h4><h6>Thierry Baldet, Hélène Guis</h6><h5>References</h5><h4>Acknowledgements</h4><h4>Glossary</h4><h4>List of acronyms</h4><h4>Authors</h4>
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Remote Sensing and Spatial Modelling
Applications to the surveillance and control of mosquito-borne diseases
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8427191
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Update Sciences & technologies
Cette collection publie des ouvrages en français ou en anglais faisant le point sur des avancées récentes dans les domaines des sciences et des technologies. Elle est destinée aux spécialistes du domaine.
01
01
Remote Sensing and Spatial Modelling
Applications to the surveillance and control of mosquito-borne diseases
1
B15
01
A2526
16
0000000509768224
21
0000-0001-5463-332X
Annelise Tran
Tran, Annelise
Annelise
Tran
<p>Annelise Tran est chercheuse au Cirad, au sein de l’UMR TETIS à Montpellier. Ses recherches portent sur le développement de méthodes en télédétection et modélisation spatiale avec des applications dans le domaine de la santé.<br></p>
<p>Annelise Tran is a researcher at CIRAD, within the UMR TETIS in Montpellier. Her research focuses on the development of methods in remote sensing and spatial modelling with applications in the field of health.<br></p>
2
B15
01
A2580
16
0000000431138889
21
0000-0001-8656-3346
Eric Daudé
Daudé, Eric
Eric
Daudé
<p>Éric Daudé est directeur de recherche au CNRS et directeur adjoint de l’UMR IDEES à Normandie Université. Ses recherches portent sur l’étude de la vulnérabilité des territoires aux risques et le développement de méthodes de modélisation spatiale appliquées à la gestion de crise.<br></p>
<p>Éric Daudé is a research director at the CNRS and deputy director of the UMR IDEES at Normandy University. His research explores the vulnerability of territories to natural, technological, and environmental risks, and focuses on developing spatial modelling approaches to support crisis management and informed decision-making.<br></p>
3
B15
01
A2527
16
0000000509768232
21
0000-0001-9514-1751
Thibault Catry
Catry, Thibault
Thibault
Catry
<p>Thibault Catry est ingénieur de recherche en télédétection à l’IRD, au sein de l’UMR Espace-dev à Montpellier. Il développe des méthodes de traitement de l’imagerie satellite pour la caractérisation des dynamiques environnementales, avec un intérêt particulier pour les relations entre environnement et santé.<br></p>
<p>Thibault Catry is a research engineer in remote sensing at IRD, within the UMR Espace-dev in Montpellier. He develops processing methods for satellite imagery dedicated to the characterization of environmental dynamics, with a particular interest in the relationship between environment and health.<br></p>
1
01
eng
08
148
03
02
24
Izibook:Subject
Pays du sud
24
Izibook:Subject
Milieux naturels et environnement
24
Izibook:Subject
Sciences sociales, politiques, économiques
24
Izibook:Subject
Sciences de la vie et de la terre
24
Izibook:Subject
Santé
24
Izibook:Subject
Impression à la demande
24
Izibook:SubjectAndCategoryAndTags
|Pays du sud|
24
Izibook:SubjectAndCategoryAndTags
|Milieux naturels et environnement|Climat;Biodiversité, flores et faunes
24
Izibook:SubjectAndCategoryAndTags
|Sciences sociales, politiques, économiques|Politiques. Expertise
24
Izibook:SubjectAndCategoryAndTags
|Sciences de la vie et de la terre|Ecologie générale;Techniques et méthodes
24
Izibook:SubjectAndCategoryAndTags
|Santé|
24
Izibook:SubjectAndCategoryAndTags
|Impression à la demande|
23
Izibook:NewTags
Milieux naturels et environnement|Climat;Biodiversité, flores et faunes
23
Izibook:NewTags
Sciences sociales, politiques, économiques|Politiques. Expertise
23
Izibook:NewTags
Sciences de la vie et de la terre|Ecologie générale;Techniques et méthodes
20
Télédétection;modélisation;épidémiologie;santé humaine;gestion des risques;moustique;zoonose
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2011
MED022000
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2011
MED028000
10
2011
TEC036000
29
3169
29
3415
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551.028
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614.4
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614.432 3
03
00
<p><b>This Print On Demand book will be sent within 3 weeks (metropolitan France) and in a separate package if you order another paperback book.</b></p><p><b>Cet ouvrage en impression à la demande sera envoyé sous 3 semaines environ (France métropolitaine) et dans un colis séparé en cas de commande avec un autre livre papier.</b></p><p>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.</p><p>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.</p><p>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.</p><p>This book, intended for students, researchers, and public health professionals, offers a synthesis of current research and operational tools in the field.</p><p><b><u><a href="http://editions-quae.com/PDF/extrait-remote-sensing-and-spatial-modelling-9782759241026.pdf" target="_blank">Read the foreword (Didier Fontenille - Medical Entomologist, Research Director IRD, UMR MIVEGEC (University of Montpellier, IRD, CNRS)</a></u></b></p><p><b>This book is available in French: <i><a href="https://www.quae.com/produit/1784/9782759236299/teledetection-et-modelisation-spatiale" target="_blank">Télédétection et modélisation spatiale</a></i></b></p>
<p><b>This Print On Demand book will be sent within 3 weeks (metropolitan France) and in a separate package if you order another paperback book.</b></p><p>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.</p><p>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.</p><p>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.</p><p>This book, intended for students, researchers, and public health professionals, offers a synthesis of current research and operational tools in the field.</p><p><u><a href="http://editions-quae.com/PDF/extrait-remote-sensing-and-spatial-modelling-9782759241026.pdf" target="_blank">Read the foreword (Didier Fontenille - Medical Entomologist, Research Director IRD, UMR MIVEGEC (University of Montpellier, IRD, CNRS)</a></u></p><p><b>This book is available in French: <i><a href="https://www.quae.com/produit/1784/9782759236299/teledetection-et-modelisation-spatiale" target="_blank">Télédétection et modélisation spatiale</a></i></b></p>
02
00
<p>Mosquito-borne diseases are a major public health burden in many parts of the world. This book presents a synthesis of research combining remote sensing and spatial modeling to predict the spatial and temporal dynamics of these diseases. </p>
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<h4>Foreword</h4><h6>Didier Fontenille</h6><h4>General introduction</h4><h6>Thibault Catry, Éric Daudé, Nadine Dessay, Annelise Tran</h6><h5>Remote sensing concepts</h5><h5>Introduction to GIS</h5><h3>Part 1 - Spatial data for vector mosquito surveillance and associated diseases</h3><h4>Chapter 1. Relationships between vector mosquitoes and the environment: the role of satellite remote sensing methods</h4><h6>Renaud Marti, Claire Teillet, Hobiniaina Anthonio Rakotoarison, Florence Fournet</h6><h5>Relationships between vector mosquitoes and the environment</h5><h5>Description of the environment using satellite remote sensing methods</h5><h5>Références</h5><h4>Chapter 2. Spectral indices and classifications of multispectral images for vector risk mapping</h4><h6>Annelise Tran, Renaud Marti, Vincent Herbreteau</h6><h5>Mapping land cover using remotely sensed data in order to model the distribution of Anopheles mosquitoes in Camargue</h5><h5>Spectral indices derived from remote sensing images employed as environmental factors in the analysis of human cases of West Nile fever in Europe</h5><h5>Automated production of spectral indices: example of the Sen2Extract tool</h5><h5>References</h5><h4>Chapter 3. Estimation of air temperatures from satellite images and weather stations</h4><h6>Barbara Boufhal, Alexandre Cebeillac, Éric Daudé</h6><h5>Data to measure temperatures</h5><h5>Air temperature estimation: different methods</h5><h5>Applications to Bangkok</h5><h5>Conclusion</h5><h5>References</h5><h4>Chapter 4. From census to buildings: generating synthetic populations</h4><h6>Alexandre Cebeillac, Olivier Gillet, Éric Daudé</h6><h5>Population disaggregation and redistribution</h5><h5>Synthetic populations, a methodology which supports the fine-scale analysis of health-related issues</h5><h5>Conclusion</h5><h5>References</h5><h4>Chapter 5. Satellite image texture and characterisation of urban environments favourable to vector mosquitoes</h4><h6>Claire Teillet, Ophélie Hoarau, Nausicaa Habchi-Hanriot, Benjamin Pillot, Thibault Catry, Annelise Tran</h6><h5>Different methods to characterise image texture</h5><h5>Study of the relationships between urban variables and the distribution of dengue cases in Brasília using a texture-based approach</h5><h5>Map of potential larval habitat distribution of the Asian tiger mosquito on Reunion island</h5><h5>Conclusion</h5><h5>References</h5><h3>Part 2 - Analysing and predicting the effect of environmental variables on the distribution and dynamics of vector mosquitoes</h3><h4>Chapter 6. Data-driven models: mapping the spatial distribution of vectors</h4><h6>Yi Moua, Emmanuel Roux</h6><h5>Species distribution models</h5><h5>Maxent model</h5><h5>Sampling bias and minimising its impact on modelling</h5><h5>Application to the primary malaria vector in French Guiana</h5><h5>Conclusion</h5><h5>References</h5><h4>Chapter 7. Knowledge-based models: example of a multi-criteria evaluation tool for public health</h4><h6>Fanjasoa Rakotomanana, Hobiniaina Anthonio Rakotoarison</h6><h5>GIS-based multi-criteria analysis, a knowledge-based approach</h5><h5>Example of this method used to map the risk of malaria in the Malagasy Central Highlands</h5><h5>Conclusion</h5><h5>References</h5><h4>Chapter 8. Arbocarto: a mechanistic model based on the life cycle of Aedes mosquitoes</h4><h6>Renaud Marti, Marie Demarchi, Mathieu Castets, Annelise Tran</h6><h5>A generic model built around the mosquito life cycle</h5><h5>Adaptation of the model to the species Aedes albopictus and Aedes aegypti and spatialization</h5><h5>Implementation, initialisation and simulation of Aedes mosquito abundance</h5><h5>Arbocarto: a specialised interface for vector control measures</h5><h5>References</h5><h4>Chapter 9. Spatial simulation of the risk of dengue transmission using vector and host behavioural models</h4><h6>Éric Daudé, Sébastien Rey-Coyrehourcq, Alexandre Cebeillac</h6><h5>Individual-based and spatially explicit models</h5><h5>Application to dengue in Bangkok: MO3, methods and data</h5><h5>MO3 model simulations</h5><h5>Conclusion</h5><h5>References</h5><h4>General conclusion and perspectives</h4><h6>Thierry Baldet, Hélène Guis</h6><h5>References</h5><h4>Acknowledgements</h4><h4>Glossary</h4><h4>List of acronyms</h4><h4>Authors</h4>
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