{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Jiang X"],"funding":["Health and Medical Research Fund","National Natural Science Foundation of China"],"pagination":["1847-1855"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11461585"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["68(9)"],"pubmed_abstract":["Febrile seizures are convulsions predominately occurring in young children. The effects of various exposomes, including influenza infection and external environmental factors, on febrile seizures have not been well-studied. In this study, we elucidated the relationships between ambient temperature, air pollutants, influenza infection, and febrile seizures using 22-year territory-wide hospitalization data in Hong Kong. The aggregated data were matched with the meteorological records and air pollutant concentrations. All-type and type-specific influenza-like illness positive (ILI+) rates were used as proxies for influenza activity. Distributed lag non-linear model in conjunction with the quasi-poisson generalized additive model was used to examine the associations of interest. According to t"],"journal":["International journal of biometeorology"],"pubmed_title":["Effect of environmental exposome and influenza infection on febrile seizure in children over 22 years: a time series analysis."],"pmcid":["PMC11461585"],"funding_grant_id":["71974165","19181132","INF-CUHK-1"],"pubmed_authors":["Li C","Lao XQ","Yue Q","Jiang X","Lin G","Chong KC","Wang Y","Wei Y"],"additional_accession":[]},"is_claimable":false,"name":"Effect of environmental exposome and influenza infection on febrile seizure in children over 22 years: a time series analysis.","description":"Febrile seizures are convulsions predominately occurring in young children. The effects of various exposomes, including influenza infection and external environmental factors, on febrile seizures have not been well-studied. In this study, we elucidated the relationships between ambient temperature, air pollutants, influenza infection, and febrile seizures using 22-year territory-wide hospitalization data in Hong Kong. The aggregated data were matched with the meteorological records and air pollutant concentrations. All-type and type-specific influenza-like illness positive (ILI+) rates were used as proxies for influenza activity. Distributed lag non-linear model in conjunction with the quasi-poisson generalized additive model was used to examine the associations of interest. According to t","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Sep","modification":"2026-07-14T20:41:01.404Z","creation":"2025-04-03T23:48:25.875Z"},"accession":"S-EPMC11461585","cross_references":{"pubmed":["38819443"],"doi":["10.1007/s00484-024-02711-8"]}}