Remote Sensing and Spatial Modelling — Applications to the surveillance and control of mosquito-borne diseases
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 We...
Đã lưu trong:
| Định dạng: | Online |
|---|---|
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
éditions Quae
2025
|
| Những chủ đề: | |
| Truy cập trực tuyến: | ONIX_20251204T110320_9782759241019_2 |
| Các nhãn: |
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
|
| _version_ | 1869529014345924608 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-169922 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | éditions Quae |
| publisherStr | éditions Quae |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1699222025-12-05T05:01:09Z Remote Sensing and Spatial Modelling — Applications to the surveillance and control of mosquito-borne diseases Tran, Annelise Daudé, Éric Catry, Thibault public health mosquito thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNC Applied ecology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology::TQD Environmental monitoring 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. 2025-12-05T05:01:08Z 2025-12-05T05:01:08Z 2025-12-04T10:09:58Z 2025 book ONIX_20251204T110320_9782759241019_2 https://library.oapen.org/handle/20.500.12657/108947 9782759241019 9782759241026 https://directory.doabooks.org/handle/20.500.12854/169922 eng open access image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://library.oapen.org/bitstream/20.500.12657/108947/1/9782759241019.pdf éditions Quae 10.35690/978-2-7592-4102-6 10.35690/978-2-7592-4102-6 0a7aef96-655f-462d-9d9a-7da8417f35c0 9782759241019 9782759241026 148 open access |
| spellingShingle | public health mosquito thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNC Applied ecology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology::TQD Environmental monitoring Remote Sensing and Spatial Modelling — Applications to the surveillance and control of mosquito-borne diseases |
| title | Remote Sensing and Spatial Modelling — Applications to the surveillance and control of mosquito-borne diseases |
| title_full | Remote Sensing and Spatial Modelling — Applications to the surveillance and control of mosquito-borne diseases |
| title_fullStr | Remote Sensing and Spatial Modelling — Applications to the surveillance and control of mosquito-borne diseases |
| title_full_unstemmed | Remote Sensing and Spatial Modelling — Applications to the surveillance and control of mosquito-borne diseases |
| title_short | Remote Sensing and Spatial Modelling — Applications to the surveillance and control of mosquito-borne diseases |
| title_sort | remote sensing and spatial modelling applications to the surveillance and control of mosquito borne diseases |
| topic | public health mosquito thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNC Applied ecology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology::TQD Environmental monitoring |
| topic_facet | public health mosquito thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNC Applied ecology thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology::TQD Environmental monitoring |
| url | ONIX_20251204T110320_9782759241019_2 |