{"title":"2015 - 2024年四川省流感流行病学特征及时空分析","authors":"Zhirui Li, Lijun Zhou, Peihan Wang, Heng Yuan, Qian Zhang, Zixuan Fan, Chongkun Xiao","doi":"10.1186/s12879-025-11594-y","DOIUrl":null,"url":null,"abstract":"<p><p>Utilising influenza monitoring data from Sichuan Province, descriptive research and geographic information systems (GIS) were employed to examine the epidemiological features and spatiotemporal patterns of influenza in the province from 2015 to 2024. From 2015 to 2024, Sichuan Province reported a total of 2,105,900 influenza cases, exhibiting a general rising trend in incidence, notably marked by high rises in 2019 and 2023. Global geographic autocorrelation study indicated substantial positive spatial autocorrelation in influenza incidence from 2019 to 2024 (Moran's I > 0, P < 0.05). Local spatial autocorrelation study identified clustering patterns throughout Sichuan Province, with high-high clustering mostly in the centre region and low-low clustering mainly in the western and eastern parts. Hotspot study indicated a progressive rise in the quantity of influenza hotspots, predominantly located in the central region, namely within urban areas of the plains. Analysis of the standard deviational ellipse of the movement trajectory of influenza outbreak centres indicated a shift in influenza transmission within the province from central urban areas to the southern regions, accompanied by a gradual dissemination. Our findings demonstrate that influenza prevention and control continues to be a significant public health concern in Sichuan Province. Region-specific influenza prevention and control strategies must be formulated, emphasising enhanced surveillance of low-incidence influenza clusters and preferential resource allocation to areas with elevated influenza incidence, to effectively address potential future influenza pandemics and mitigate the influenza burden.</p>","PeriodicalId":8981,"journal":{"name":"BMC Infectious Diseases","volume":"25 1","pages":"1172"},"PeriodicalIF":3.0000,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465695/pdf/","citationCount":"0","resultStr":"{\"title\":\"Epidemiological characteristics and spatio-temporal analysis of influenza in Sichuan Province from 2015 to 2024.\",\"authors\":\"Zhirui Li, Lijun Zhou, Peihan Wang, Heng Yuan, Qian Zhang, Zixuan Fan, Chongkun Xiao\",\"doi\":\"10.1186/s12879-025-11594-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Utilising influenza monitoring data from Sichuan Province, descriptive research and geographic information systems (GIS) were employed to examine the epidemiological features and spatiotemporal patterns of influenza in the province from 2015 to 2024. From 2015 to 2024, Sichuan Province reported a total of 2,105,900 influenza cases, exhibiting a general rising trend in incidence, notably marked by high rises in 2019 and 2023. Global geographic autocorrelation study indicated substantial positive spatial autocorrelation in influenza incidence from 2019 to 2024 (Moran's I > 0, P < 0.05). Local spatial autocorrelation study identified clustering patterns throughout Sichuan Province, with high-high clustering mostly in the centre region and low-low clustering mainly in the western and eastern parts. Hotspot study indicated a progressive rise in the quantity of influenza hotspots, predominantly located in the central region, namely within urban areas of the plains. Analysis of the standard deviational ellipse of the movement trajectory of influenza outbreak centres indicated a shift in influenza transmission within the province from central urban areas to the southern regions, accompanied by a gradual dissemination. Our findings demonstrate that influenza prevention and control continues to be a significant public health concern in Sichuan Province. Region-specific influenza prevention and control strategies must be formulated, emphasising enhanced surveillance of low-incidence influenza clusters and preferential resource allocation to areas with elevated influenza incidence, to effectively address potential future influenza pandemics and mitigate the influenza burden.</p>\",\"PeriodicalId\":8981,\"journal\":{\"name\":\"BMC Infectious Diseases\",\"volume\":\"25 1\",\"pages\":\"1172\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465695/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Infectious Diseases\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12879-025-11594-y\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Infectious Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12879-025-11594-y","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
摘要
利用四川省流感监测数据,采用描述性研究和地理信息系统(GIS)对2015 - 2024年四川省流感流行病学特征和时空格局进行分析。2015 - 2024年,四川省共报告流感病例210.59万例,总体呈上升趋势,其中2019年和2023年增幅较大。全球地理自相关研究表明,2019年至2024年流感发病率存在显著的正空间自相关(Moran's 2010, P
Epidemiological characteristics and spatio-temporal analysis of influenza in Sichuan Province from 2015 to 2024.
Utilising influenza monitoring data from Sichuan Province, descriptive research and geographic information systems (GIS) were employed to examine the epidemiological features and spatiotemporal patterns of influenza in the province from 2015 to 2024. From 2015 to 2024, Sichuan Province reported a total of 2,105,900 influenza cases, exhibiting a general rising trend in incidence, notably marked by high rises in 2019 and 2023. Global geographic autocorrelation study indicated substantial positive spatial autocorrelation in influenza incidence from 2019 to 2024 (Moran's I > 0, P < 0.05). Local spatial autocorrelation study identified clustering patterns throughout Sichuan Province, with high-high clustering mostly in the centre region and low-low clustering mainly in the western and eastern parts. Hotspot study indicated a progressive rise in the quantity of influenza hotspots, predominantly located in the central region, namely within urban areas of the plains. Analysis of the standard deviational ellipse of the movement trajectory of influenza outbreak centres indicated a shift in influenza transmission within the province from central urban areas to the southern regions, accompanied by a gradual dissemination. Our findings demonstrate that influenza prevention and control continues to be a significant public health concern in Sichuan Province. Region-specific influenza prevention and control strategies must be formulated, emphasising enhanced surveillance of low-incidence influenza clusters and preferential resource allocation to areas with elevated influenza incidence, to effectively address potential future influenza pandemics and mitigate the influenza burden.
期刊介绍:
BMC Infectious Diseases is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of infectious and sexually transmitted diseases in humans, as well as related molecular genetics, pathophysiology, and epidemiology.