{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Zhang L"],"funding":["The National Science Foundation of China","Natural Science Foundation of Ningxia","The Natural Science Foundation of Ningxia"],"pagination":["3079"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10847441"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(1)"],"pubmed_abstract":["Identifying high-risk regions and turning points of influenza with a precise spatiotemporal scale may provide effective prevention strategies. In this study, epidemiological characteristics and spatiotemporal clustering analysis at the township level were performed. A descriptive study and a Joinpoint regression analysis were used to explore the epidemiological characteristics and the time trend of influenza. Spatiotemporal autocorrelation and clustering analyses were carried out to explore the spatiotemporal distribution characteristics and aggregation. Furthermore, the hotspot regions were analyzed by spatiotemporal scan analysis. A total of 4025 influenza cases were reported in Yinchuan showing an overall increasing trend. The tendency of influenza in Yinchuan consisted of three stages:"],"journal":["Scientific reports"],"pubmed_title":["Heterogeneity of influenza infection at precise scale in Yinchuan, Northwest China, 2012-2022: evidence from Joinpoint regression and spatiotemporal analysis."],"pmcid":["PMC10847441"],"funding_grant_id":["12061058","2023AAC02033","2021BEG02026"],"pubmed_authors":["Li Y","Ma N","Zhang L","Zhao Y"],"additional_accession":[]},"is_claimable":false,"name":"Heterogeneity of influenza infection at precise scale in Yinchuan, Northwest China, 2012-2022: evidence from Joinpoint regression and spatiotemporal analysis.","description":"Identifying high-risk regions and turning points of influenza with a precise spatiotemporal scale may provide effective prevention strategies. In this study, epidemiological characteristics and spatiotemporal clustering analysis at the township level were performed. A descriptive study and a Joinpoint regression analysis were used to explore the epidemiological characteristics and the time trend of influenza. Spatiotemporal autocorrelation and clustering analyses were carried out to explore the spatiotemporal distribution characteristics and aggregation. Furthermore, the hotspot regions were analyzed by spatiotemporal scan analysis. A total of 4025 influenza cases were reported in Yinchuan showing an overall increasing trend. The tendency of influenza in Yinchuan consisted of three stages:","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Feb","modification":"2026-06-03T17:15:36.209Z","creation":"2025-04-05T00:01:59.702Z"},"accession":"S-EPMC10847441","cross_references":{"pubmed":["38321190"],"doi":["10.1038/s41598-024-53767-w"]}}