Mapping the viruses belonging to the order Bunyavirales in China
Abstract Background Viral pathogens belonging to the order Bunyavirales pose a continuous background threat to global health, but the fact remains that they are usually neglected and their distribution is still ambiguously known. We aim to map the geographical distribution of Bunyavirales viruses an...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-07-01
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| Series: | Infectious Diseases of Poverty |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40249-022-00993-x |
| _version_ | 1818158409634021376 |
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| author | Ai-Ying Teng Tian-Le Che An-Ran Zhang Yuan-Yuan Zhang Qiang Xu Tao Wang Yan-Qun Sun Bao-Gui Jiang Chen-Long Lv Jin-Jin Chen Li-Ping Wang Simon I. Hay Wei Liu Li-Qun Fang |
| author_facet | Ai-Ying Teng Tian-Le Che An-Ran Zhang Yuan-Yuan Zhang Qiang Xu Tao Wang Yan-Qun Sun Bao-Gui Jiang Chen-Long Lv Jin-Jin Chen Li-Ping Wang Simon I. Hay Wei Liu Li-Qun Fang |
| author_sort | Ai-Ying Teng |
| collection | DOAJ |
| description | Abstract Background Viral pathogens belonging to the order Bunyavirales pose a continuous background threat to global health, but the fact remains that they are usually neglected and their distribution is still ambiguously known. We aim to map the geographical distribution of Bunyavirales viruses and assess the environmental suitability and transmission risk of major Bunyavirales viruses in China. Methods We assembled data on all Bunyavirales viruses detected in humans, animals and vectors from multiple sources, to update distribution maps of them across China. In addition, we predicted environmental suitability at the 10 km × 10 km pixel level by applying boosted regression tree models for two important Bunyavirales viruses, including Crimean-Congo hemorrhagic fever virus (CCHFV) and Rift Valley fever virus (RVFV). Based on model-projected risks and air travel volume, the imported risk of RVFV was also estimated from its endemic areas to the cities in China. Results Here we mapped all 89 species of Bunyavirales viruses in China from January 1951 to June 2021. Nineteen viruses were shown to infect humans, including ten species first reported as human infections. A total of 447,848 cases infected with Bunyavirales viruses were reported, and hantaviruses, Dabie bandavirus and Crimean-Congo hemorrhagic fever virus (CCHFV) had the severest disease burden. Model-predicted maps showed that Xinjiang and southwestern Yunnan had the highest environmental suitability for CCHFV occurrence, mainly related to Hyalomma asiaticum presence, while southern China had the highest environmental suitability for Rift Valley fever virus (RVFV) transmission all year round, mainly driven by livestock density, mean precipitation in the previous month. We further identified three cities including Guangzhou, Beijing and Shanghai, with the highest imported risk of RVFV potentially from Egypt, South Africa, Saudi Arabia and Kenya. Conclusions A variety of Bunyavirales viruses are widely distributed in China, and the two major neglected Bunyavirales viruses including CCHFV and RVFV, both have the potential for outbreaks in local areas of China. Our study can help to promote the understanding of risk distribution and disease burden of Bunyavirales viruses in China, and the risk maps of CCHFV and RVFV occurrence are crucial to the targeted surveillance and control, especially in seasons and locations at high risk. Graphical abstract |
| first_indexed | 2024-12-11T15:29:38Z |
| format | Article |
| id | doaj.art-ed7246a56fba40aa8dc07746677be404 |
| institution | Directory Open Access Journal |
| issn | 2049-9957 |
| language | English |
| last_indexed | 2024-12-11T15:29:38Z |
| publishDate | 2022-07-01 |
| publisher | BMC |
| record_format | Article |
| series | Infectious Diseases of Poverty |
| spelling | doaj.art-ed7246a56fba40aa8dc07746677be4042022-12-22T01:00:06ZengBMCInfectious Diseases of Poverty2049-99572022-07-0111111910.1186/s40249-022-00993-xMapping the viruses belonging to the order Bunyavirales in ChinaAi-Ying Teng0Tian-Le Che1An-Ran Zhang2Yuan-Yuan Zhang3Qiang Xu4Tao Wang5Yan-Qun Sun6Bao-Gui Jiang7Chen-Long Lv8Jin-Jin Chen9Li-Ping Wang10Simon I. Hay11Wei Liu12Li-Qun Fang13State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and EpidemiologyState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and EpidemiologyDepartment of Research, Qilu Hospital, Cheeloo College of Medicine, Shandong UniversityState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and EpidemiologyState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and EpidemiologyState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and EpidemiologyState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and EpidemiologyState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and EpidemiologyState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and EpidemiologyState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and EpidemiologyDivision of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and PreventionDepartment of Health Metrics Sciences, School of Medicine, University of WashingtonState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and EpidemiologyState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and EpidemiologyAbstract Background Viral pathogens belonging to the order Bunyavirales pose a continuous background threat to global health, but the fact remains that they are usually neglected and their distribution is still ambiguously known. We aim to map the geographical distribution of Bunyavirales viruses and assess the environmental suitability and transmission risk of major Bunyavirales viruses in China. Methods We assembled data on all Bunyavirales viruses detected in humans, animals and vectors from multiple sources, to update distribution maps of them across China. In addition, we predicted environmental suitability at the 10 km × 10 km pixel level by applying boosted regression tree models for two important Bunyavirales viruses, including Crimean-Congo hemorrhagic fever virus (CCHFV) and Rift Valley fever virus (RVFV). Based on model-projected risks and air travel volume, the imported risk of RVFV was also estimated from its endemic areas to the cities in China. Results Here we mapped all 89 species of Bunyavirales viruses in China from January 1951 to June 2021. Nineteen viruses were shown to infect humans, including ten species first reported as human infections. A total of 447,848 cases infected with Bunyavirales viruses were reported, and hantaviruses, Dabie bandavirus and Crimean-Congo hemorrhagic fever virus (CCHFV) had the severest disease burden. Model-predicted maps showed that Xinjiang and southwestern Yunnan had the highest environmental suitability for CCHFV occurrence, mainly related to Hyalomma asiaticum presence, while southern China had the highest environmental suitability for Rift Valley fever virus (RVFV) transmission all year round, mainly driven by livestock density, mean precipitation in the previous month. We further identified three cities including Guangzhou, Beijing and Shanghai, with the highest imported risk of RVFV potentially from Egypt, South Africa, Saudi Arabia and Kenya. Conclusions A variety of Bunyavirales viruses are widely distributed in China, and the two major neglected Bunyavirales viruses including CCHFV and RVFV, both have the potential for outbreaks in local areas of China. Our study can help to promote the understanding of risk distribution and disease burden of Bunyavirales viruses in China, and the risk maps of CCHFV and RVFV occurrence are crucial to the targeted surveillance and control, especially in seasons and locations at high risk. Graphical abstracthttps://doi.org/10.1186/s40249-022-00993-xBunyaviralesCrimean-Congo hemorrhagic fever virusRift Valley fever virusEcological niche modelRisk assessment |
| spellingShingle | Ai-Ying Teng Tian-Le Che An-Ran Zhang Yuan-Yuan Zhang Qiang Xu Tao Wang Yan-Qun Sun Bao-Gui Jiang Chen-Long Lv Jin-Jin Chen Li-Ping Wang Simon I. Hay Wei Liu Li-Qun Fang Mapping the viruses belonging to the order Bunyavirales in China Infectious Diseases of Poverty Bunyavirales Crimean-Congo hemorrhagic fever virus Rift Valley fever virus Ecological niche model Risk assessment |
| title | Mapping the viruses belonging to the order Bunyavirales in China |
| title_full | Mapping the viruses belonging to the order Bunyavirales in China |
| title_fullStr | Mapping the viruses belonging to the order Bunyavirales in China |
| title_full_unstemmed | Mapping the viruses belonging to the order Bunyavirales in China |
| title_short | Mapping the viruses belonging to the order Bunyavirales in China |
| title_sort | mapping the viruses belonging to the order bunyavirales in china |
| topic | Bunyavirales Crimean-Congo hemorrhagic fever virus Rift Valley fever virus Ecological niche model Risk assessment |
| url | https://doi.org/10.1186/s40249-022-00993-x |
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