Clemens Kamrath, Alexander J Eckert, Sarah Lignitz, Nikolas Hillenbrand, Axel Dost, Katharina Warncke, Daniela Klose, Karina Grohmann-Held, Reinhard W Holl, Joachim Rosenbauer
{"title":"德国儿童1型糖尿病发病率与COVID-19疫苗接种率的时空关联——一项基于人群的生态学研究","authors":"Clemens Kamrath, Alexander J Eckert, Sarah Lignitz, Nikolas Hillenbrand, Axel Dost, Katharina Warncke, Daniela Klose, Karina Grohmann-Held, Reinhard W Holl, Joachim Rosenbauer","doi":"10.1515/jpem-2025-0189","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>The incidence of type 1 diabetes (T1D) in children increased during the first two years of the COVID-19 pandemic and declined thereafter. It is not known whether the decline is associated with COVID-19 vaccination rates in children. This study investigates whether COVID-19 vaccination rates are associated with T1D incidence in children.</p><p><strong>Study design: </strong>Population-based ecological study of children with new-onset T1D in the years 2022 and 2023 from the German Prospective Diabetes Registry. COVID-19 vaccination rates (VR) for 2022 were obtained from the Digital Vaccination Rate Monitoring-Project of the Robert-Koch-Institute.</p><p><strong>Methods: </strong>Spatial Spearman correlation analysis between period-averaged COVID-19 VR and T1D standardized incidence ratios (SIR) per county were used for the year 2022. Bayesian conditional autoregressive (CAR) Poisson models, including a time lag of 0-12 months between COVID-19 VR and T1D SIR, were used to assess their association.</p><p><strong>Results: </strong>Data of 6,736 children and adolescents with new-onset T1D in the years 2022 and 2023 and of 4,208,377 vaccinated children aged 5-17 years across 336 German counties were analyzed. Neither the month-averaged spatial analysis (5-11 years: r=-0.029 [95%CI -0.136; 0.079]; 12-17 years: r=0.031 [95%CI -0.077; 0.138]) nor the spatiotemporal CAR models including time shifts of 0-12 months showed significant correlations between T1D SIR and COVID-19 VR.</p><p><strong>Conclusions: </strong>This study found no significant associations between childhood COVID-19 vaccination rates and the subsequent incidence of type 1 diabetes over the next 12 months. Further research is needed to investigate the relationship in younger children.</p>","PeriodicalId":520684,"journal":{"name":"Journal of pediatric endocrinology & metabolism : JPEM","volume":" ","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatiotemporal associations between incidence of type 1 diabetes and COVID-19 vaccination rates in children in Germany - a population-based ecological study.\",\"authors\":\"Clemens Kamrath, Alexander J Eckert, Sarah Lignitz, Nikolas Hillenbrand, Axel Dost, Katharina Warncke, Daniela Klose, Karina Grohmann-Held, Reinhard W Holl, Joachim Rosenbauer\",\"doi\":\"10.1515/jpem-2025-0189\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>The incidence of type 1 diabetes (T1D) in children increased during the first two years of the COVID-19 pandemic and declined thereafter. It is not known whether the decline is associated with COVID-19 vaccination rates in children. This study investigates whether COVID-19 vaccination rates are associated with T1D incidence in children.</p><p><strong>Study design: </strong>Population-based ecological study of children with new-onset T1D in the years 2022 and 2023 from the German Prospective Diabetes Registry. COVID-19 vaccination rates (VR) for 2022 were obtained from the Digital Vaccination Rate Monitoring-Project of the Robert-Koch-Institute.</p><p><strong>Methods: </strong>Spatial Spearman correlation analysis between period-averaged COVID-19 VR and T1D standardized incidence ratios (SIR) per county were used for the year 2022. Bayesian conditional autoregressive (CAR) Poisson models, including a time lag of 0-12 months between COVID-19 VR and T1D SIR, were used to assess their association.</p><p><strong>Results: </strong>Data of 6,736 children and adolescents with new-onset T1D in the years 2022 and 2023 and of 4,208,377 vaccinated children aged 5-17 years across 336 German counties were analyzed. Neither the month-averaged spatial analysis (5-11 years: r=-0.029 [95%CI -0.136; 0.079]; 12-17 years: r=0.031 [95%CI -0.077; 0.138]) nor the spatiotemporal CAR models including time shifts of 0-12 months showed significant correlations between T1D SIR and COVID-19 VR.</p><p><strong>Conclusions: </strong>This study found no significant associations between childhood COVID-19 vaccination rates and the subsequent incidence of type 1 diabetes over the next 12 months. Further research is needed to investigate the relationship in younger children.</p>\",\"PeriodicalId\":520684,\"journal\":{\"name\":\"Journal of pediatric endocrinology & metabolism : JPEM\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2025-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of pediatric endocrinology & metabolism : JPEM\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1515/jpem-2025-0189\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of pediatric endocrinology & metabolism : JPEM","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/jpem-2025-0189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatiotemporal associations between incidence of type 1 diabetes and COVID-19 vaccination rates in children in Germany - a population-based ecological study.
Objectives: The incidence of type 1 diabetes (T1D) in children increased during the first two years of the COVID-19 pandemic and declined thereafter. It is not known whether the decline is associated with COVID-19 vaccination rates in children. This study investigates whether COVID-19 vaccination rates are associated with T1D incidence in children.
Study design: Population-based ecological study of children with new-onset T1D in the years 2022 and 2023 from the German Prospective Diabetes Registry. COVID-19 vaccination rates (VR) for 2022 were obtained from the Digital Vaccination Rate Monitoring-Project of the Robert-Koch-Institute.
Methods: Spatial Spearman correlation analysis between period-averaged COVID-19 VR and T1D standardized incidence ratios (SIR) per county were used for the year 2022. Bayesian conditional autoregressive (CAR) Poisson models, including a time lag of 0-12 months between COVID-19 VR and T1D SIR, were used to assess their association.
Results: Data of 6,736 children and adolescents with new-onset T1D in the years 2022 and 2023 and of 4,208,377 vaccinated children aged 5-17 years across 336 German counties were analyzed. Neither the month-averaged spatial analysis (5-11 years: r=-0.029 [95%CI -0.136; 0.079]; 12-17 years: r=0.031 [95%CI -0.077; 0.138]) nor the spatiotemporal CAR models including time shifts of 0-12 months showed significant correlations between T1D SIR and COVID-19 VR.
Conclusions: This study found no significant associations between childhood COVID-19 vaccination rates and the subsequent incidence of type 1 diabetes over the next 12 months. Further research is needed to investigate the relationship in younger children.