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Ding J, Wang Y, Liang J, He Z, Zhai C, He Y, Xu J, Lei L, Mu J, Zheng M, Liu B, Shi M. Spatiotemporal pattern and suitable areas analysis of equine influenza in global scale (2005-2022). Front Vet Sci 2024; 11:1395327. [PMID: 38887536 PMCID: PMC11182002 DOI: 10.3389/fvets.2024.1395327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 05/21/2024] [Indexed: 06/20/2024] Open
Abstract
Equine influenza (EI) is a severe infectious disease that causes huge economic losses to the horse industry. Spatial epidemiology technology can explore the spatiotemporal distribution characteristics and occurrence risks of infectious diseases, it has played an important role in the prevention and control of major infectious diseases in humans and animals. For the first time, this study conducted a systematic analysis of the spatiotemporal distribution of EI using SaTScan software and investigated the important environmental variables and suitable areas for EI occurrence using the Maxent model. A total of 517 occurrences of EI from 2005 to 2022 were evaluated, and 14 significant spatiotemporal clusters were identified. Furthermore, a Maxent model was successfully established with high prediction accuracy (AUC = 0.920 ± 0.008). The results indicated that annual average ultraviolet radiation, horse density, and precipitation of the coldest quarter were the three most important environmental variables affecting EI occurrence. The suitable areas for EI occurrence are widely distributed across all continents, especially in Asia (India, Mongolia, and China) and the Americas (Brazil, Uruguay, USA, and Mexico). In the future, these suitable areas will expand and move eastward. The largest expansion is predicted under SSP126 scenarios, while the opposite trend will be observed under SSP585 scenarios. This study presents the spatial epidemiological characteristics of EI for the first time. The results could provide valuable scientific insights that can effectively inform prevention and control strategies in regions at risk of EI worldwide.
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Affiliation(s)
- Jiafeng Ding
- College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi University, Nanning, China
- Nanning New Technology Entrepreneur Center, Nanning, China
| | - Yu Wang
- College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi University, Nanning, China
| | - Jinjiao Liang
- College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi University, Nanning, China
| | - Zhenhuan He
- Shenyang Zhengda Animal Husbandry Co., Ltd., Shenyang, China
| | - Changhong Zhai
- College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi University, Nanning, China
| | - Yinghao He
- College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi University, Nanning, China
| | - Jiayin Xu
- College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi University, Nanning, China
| | - Lei Lei
- College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi University, Nanning, China
| | - Jing Mu
- College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi University, Nanning, China
| | - Min Zheng
- Guangxi Center for Animal Disease Control and Prevention, Nanning, China
| | - Boyang Liu
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin, China
| | - Mingxian Shi
- College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi University, Nanning, China
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Colgate VA, Newton JR. Equine influenza bi-annual boosters: What does the evidence tell us? Equine Vet J 2023; 55:147-152. [PMID: 36382414 DOI: 10.1111/evj.13898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 10/28/2022] [Indexed: 11/18/2022]
Affiliation(s)
- Victoria A Colgate
- Equine Infectious Disease Surveillance, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - J Richard Newton
- Equine Infectious Disease Surveillance, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
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