Spatial-temporal drivers and incidence heterogeneity of hemorrhagic fever with renal syndrome transmission in Shandong Province, China, 2016-2022
© 2024. The Author(s)..
BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) signals a recurring risk in Eurasia in recent years owing to its continued rise in case notifications and the extension of geographical distribution. This study was undertaken to investigate the spatiotemporal drivers and incidence heterogeneity of HFRS transmission in Shandong Province.
METHODS: The epidemiological data for HFRS, meteorological data and socioeconomic data were obtained from China Information System for Disease Control and Prevention, China Meteorological Data Sharing Service System, and Shandong Statistical Yearbook, respectively. The spatial-temporal multicomponent model was employed to analyze the values of spatial-temporal components and the heterogeneity of HFRS transmission across distinct regions.
RESULTS: The total effect values of the autoregressive, epidemic, and endemic components were 0.451, 0.187, and 0.033, respectively, exhibiting significant heterogeneity across various cities. This suggested a pivotal role of the autoregressive component in propelling HFRS transmission in Shandong Province. The epidemic component of Qingdao, Weifang, Yantai, Weihai, and Jining declined sharply at the onset of 2020. The random effect identified distinct incidence levels associated with Qingdao and Weifang, signifying regional variations in HFRS occurrence.
CONCLUSIONS: The autoregressive component emerged as a significant driver in the transmission of HFRS in Shandong Province. Targeted preventive measures should be strategically implemented across various regions, taking into account the predominant component influencing the epidemic.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:24 |
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| Enthalten in: |
BMC public health - 24(2024), 1 vom: 13. Apr., Seite 1032 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Duan, Qing [VerfasserIn] |
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| Links: |
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| Themen: |
Hemorrhagic fever with renal syndrome |
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| Anmerkungen: |
Date Completed 15.04.2024 Date Revised 16.04.2024 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1186/s12889-024-18440-x |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM371043158 |
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| 245 | 1 | 0 | |a Spatial-temporal drivers and incidence heterogeneity of hemorrhagic fever with renal syndrome transmission in Shandong Province, China, 2016-2022 |
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| 520 | |a © 2024. The Author(s). | ||
| 520 | |a BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) signals a recurring risk in Eurasia in recent years owing to its continued rise in case notifications and the extension of geographical distribution. This study was undertaken to investigate the spatiotemporal drivers and incidence heterogeneity of HFRS transmission in Shandong Province | ||
| 520 | |a METHODS: The epidemiological data for HFRS, meteorological data and socioeconomic data were obtained from China Information System for Disease Control and Prevention, China Meteorological Data Sharing Service System, and Shandong Statistical Yearbook, respectively. The spatial-temporal multicomponent model was employed to analyze the values of spatial-temporal components and the heterogeneity of HFRS transmission across distinct regions | ||
| 520 | |a RESULTS: The total effect values of the autoregressive, epidemic, and endemic components were 0.451, 0.187, and 0.033, respectively, exhibiting significant heterogeneity across various cities. This suggested a pivotal role of the autoregressive component in propelling HFRS transmission in Shandong Province. The epidemic component of Qingdao, Weifang, Yantai, Weihai, and Jining declined sharply at the onset of 2020. The random effect identified distinct incidence levels associated with Qingdao and Weifang, signifying regional variations in HFRS occurrence | ||
| 520 | |a CONCLUSIONS: The autoregressive component emerged as a significant driver in the transmission of HFRS in Shandong Province. Targeted preventive measures should be strategically implemented across various regions, taking into account the predominant component influencing the epidemic | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Hemorrhagic fever with renal syndrome | |
| 650 | 4 | |a Influencing factor | |
| 650 | 4 | |a Spatial-temporal multicomponent model | |
| 650 | 4 | |a Transmission driver | |
| 700 | 1 | |a Wang, Yao |e verfasserin |4 aut | |
| 700 | 1 | |a Jiang, Xiaolin |e verfasserin |4 aut | |
| 700 | 1 | |a Ding, Shujun |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yuwei |e verfasserin |4 aut | |
| 700 | 1 | |a Yao, Mingxiao |e verfasserin |4 aut | |
| 700 | 1 | |a Pang, Bo |e verfasserin |4 aut | |
| 700 | 1 | |a Tian, Xueying |e verfasserin |4 aut | |
| 700 | 1 | |a Ma, Wei |e verfasserin |4 aut | |
| 700 | 1 | |a Kou, Zengqiang |e verfasserin |4 aut | |
| 700 | 1 | |a Wen, Hongling |e verfasserin |4 aut | |
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