Spatial Epidemiology and Its Role in Prevention and Control of Swine Viral Disease
Spatial epidemiology offers a comprehensive framework for analyzing the spatial distribution and transmission of diseases, leveraging advanced technical tools and software, including Geographic Information Systems (GISs), remote sensing technology, statistical and mathematical software, and spatial...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-09-01
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| Series: | Animals |
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| Online Access: | https://www.mdpi.com/2076-2615/14/19/2814 |
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| author | Juan Qiu Xiaodong Li Huaiping Zhu Fei Xiao |
| author_facet | Juan Qiu Xiaodong Li Huaiping Zhu Fei Xiao |
| author_sort | Juan Qiu |
| collection | DOAJ |
| description | Spatial epidemiology offers a comprehensive framework for analyzing the spatial distribution and transmission of diseases, leveraging advanced technical tools and software, including Geographic Information Systems (GISs), remote sensing technology, statistical and mathematical software, and spatial analysis tools. Despite its increasing application to swine viral diseases (SVDs), certain challenges arise from its interdisciplinary nature. To support novices, frontline veterinarians, and public health policymakers in navigating its complexities, we provide a comprehensive overview of the common applications of spatial epidemiology in SVD. These applications are classified into four categories based on their objectives: visualizing and elucidating spatiotemporal distribution patterns, identifying risk factors, risk mapping, and tracing the spatiotemporal evolution of pathogens. We further elucidate the technical methods, software, and considerations necessary to accomplish these objectives. Additionally, we address critical issues such as the ecological fallacy and hypothesis generation in geographic correlation analysis. Finally, we explore the future prospects of spatial epidemiology in SVD within the One Health framework, offering a valuable reference for researchers engaged in the spatial analysis of SVD and other epidemics. |
| format | Article |
| id | doaj-art-15d8df7b62a64ba09b6c0d82fe9c2b39 |
| institution | OA Journals |
| issn | 2076-2615 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Animals |
| spelling | doaj-art-15d8df7b62a64ba09b6c0d82fe9c2b392025-08-20T01:47:44ZengMDPI AGAnimals2076-26152024-09-011419281410.3390/ani14192814Spatial Epidemiology and Its Role in Prevention and Control of Swine Viral DiseaseJuan Qiu0Xiaodong Li1Huaiping Zhu2Fei Xiao3Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, ChinaKey Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, ChinaLaboratory of Mathematical Parallel Systems (LAMPS), Department of Mathematics and Statistics, Centre for Diseases Modeling (CDM), York University, Toronto, ON M3J1P3, CanadaKey Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, ChinaSpatial epidemiology offers a comprehensive framework for analyzing the spatial distribution and transmission of diseases, leveraging advanced technical tools and software, including Geographic Information Systems (GISs), remote sensing technology, statistical and mathematical software, and spatial analysis tools. Despite its increasing application to swine viral diseases (SVDs), certain challenges arise from its interdisciplinary nature. To support novices, frontline veterinarians, and public health policymakers in navigating its complexities, we provide a comprehensive overview of the common applications of spatial epidemiology in SVD. These applications are classified into four categories based on their objectives: visualizing and elucidating spatiotemporal distribution patterns, identifying risk factors, risk mapping, and tracing the spatiotemporal evolution of pathogens. We further elucidate the technical methods, software, and considerations necessary to accomplish these objectives. Additionally, we address critical issues such as the ecological fallacy and hypothesis generation in geographic correlation analysis. Finally, we explore the future prospects of spatial epidemiology in SVD within the One Health framework, offering a valuable reference for researchers engaged in the spatial analysis of SVD and other epidemics.https://www.mdpi.com/2076-2615/14/19/2814spatial epidemiologygeographical distributionrisk identificationmappingswine viral disease |
| spellingShingle | Juan Qiu Xiaodong Li Huaiping Zhu Fei Xiao Spatial Epidemiology and Its Role in Prevention and Control of Swine Viral Disease Animals spatial epidemiology geographical distribution risk identification mapping swine viral disease |
| title | Spatial Epidemiology and Its Role in Prevention and Control of Swine Viral Disease |
| title_full | Spatial Epidemiology and Its Role in Prevention and Control of Swine Viral Disease |
| title_fullStr | Spatial Epidemiology and Its Role in Prevention and Control of Swine Viral Disease |
| title_full_unstemmed | Spatial Epidemiology and Its Role in Prevention and Control of Swine Viral Disease |
| title_short | Spatial Epidemiology and Its Role in Prevention and Control of Swine Viral Disease |
| title_sort | spatial epidemiology and its role in prevention and control of swine viral disease |
| topic | spatial epidemiology geographical distribution risk identification mapping swine viral disease |
| url | https://www.mdpi.com/2076-2615/14/19/2814 |
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