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Epidemiology of Lyme borreliosis based on outpatient claims data of all people with statutory health insurance, Germany, 2019

INTRODUCTION: Evidence of nationwide and regional morbidity of Lyme borreliosis (LB) in Germany is lacking. AIMS: We calculated the total number of incident LB cases in Germany in 2019, compared regional variations, investigated the extent of possible under-reporting in notification data and examine...

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Autores principales: Akmatov, Manas K, Holstiege, Jakob, Dammertz, Lotte, Heuer, Joachim, Kohring, Claudia, Lotto-Batista, Martin, Boeing, Friedrich, Ghozzi, Stéphane, Castell, Stefanie, Bätzing, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Centre for Disease Prevention and Control (ECDC) 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373599/
https://www.ncbi.nlm.nih.gov/pubmed/35959689
http://dx.doi.org/10.2807/1560-7917.ES.2022.27.32.2101193
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author Akmatov, Manas K
Holstiege, Jakob
Dammertz, Lotte
Heuer, Joachim
Kohring, Claudia
Lotto-Batista, Martin
Boeing, Friedrich
Ghozzi, Stéphane
Castell, Stefanie
Bätzing, Jörg
author_facet Akmatov, Manas K
Holstiege, Jakob
Dammertz, Lotte
Heuer, Joachim
Kohring, Claudia
Lotto-Batista, Martin
Boeing, Friedrich
Ghozzi, Stéphane
Castell, Stefanie
Bätzing, Jörg
author_sort Akmatov, Manas K
collection PubMed
description INTRODUCTION: Evidence of nationwide and regional morbidity of Lyme borreliosis (LB) in Germany is lacking. AIMS: We calculated the total number of incident LB cases in Germany in 2019, compared regional variations, investigated the extent of possible under-reporting in notification data and examined the association between high incidence areas and land cover composition. METHODS: We used outpatient claims data comprising information for people with statutory health insurance who visited a physician at least once between 2010 and 2019 in Germany (n = 71,411,504). The ICD-10 code A69.2 was used to identify incident LB patients. Spatial variations of LB were assessed by means of Global and Local Moran’s Index at district level. Notification data were obtained for nine federal states with mandatory notification from the Robert Koch Institute (RKI). RESULTS: Of all insured, 128,177 were diagnosed with LB in 2019, corresponding to an incidence of 179 per 100,000 insured. The incidence varied across districts by a factor of 16 (range: 40–646 per 100,000). We identified four spatial clusters with high incidences. These clusters were associated with a significantly larger proportion of forests and agricultural areas than low incidence clusters. In 2019, 12,264 LB cases were reported to the RKI from nine federal states, while 69,623 patients with LB were found in claims data for those states. This difference varied considerably across districts. CONCLUSIONS: These findings serve as a solid basis for regionally tailored population-based intervention programmes and can support modelling studies assessing the development of LB epidemiology under various climate change scenarios.
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spelling pubmed-93735992022-08-29 Epidemiology of Lyme borreliosis based on outpatient claims data of all people with statutory health insurance, Germany, 2019 Akmatov, Manas K Holstiege, Jakob Dammertz, Lotte Heuer, Joachim Kohring, Claudia Lotto-Batista, Martin Boeing, Friedrich Ghozzi, Stéphane Castell, Stefanie Bätzing, Jörg Euro Surveill Research INTRODUCTION: Evidence of nationwide and regional morbidity of Lyme borreliosis (LB) in Germany is lacking. AIMS: We calculated the total number of incident LB cases in Germany in 2019, compared regional variations, investigated the extent of possible under-reporting in notification data and examined the association between high incidence areas and land cover composition. METHODS: We used outpatient claims data comprising information for people with statutory health insurance who visited a physician at least once between 2010 and 2019 in Germany (n = 71,411,504). The ICD-10 code A69.2 was used to identify incident LB patients. Spatial variations of LB were assessed by means of Global and Local Moran’s Index at district level. Notification data were obtained for nine federal states with mandatory notification from the Robert Koch Institute (RKI). RESULTS: Of all insured, 128,177 were diagnosed with LB in 2019, corresponding to an incidence of 179 per 100,000 insured. The incidence varied across districts by a factor of 16 (range: 40–646 per 100,000). We identified four spatial clusters with high incidences. These clusters were associated with a significantly larger proportion of forests and agricultural areas than low incidence clusters. In 2019, 12,264 LB cases were reported to the RKI from nine federal states, while 69,623 patients with LB were found in claims data for those states. This difference varied considerably across districts. CONCLUSIONS: These findings serve as a solid basis for regionally tailored population-based intervention programmes and can support modelling studies assessing the development of LB epidemiology under various climate change scenarios. European Centre for Disease Prevention and Control (ECDC) 2022-08-11 /pmc/articles/PMC9373599/ /pubmed/35959689 http://dx.doi.org/10.2807/1560-7917.ES.2022.27.32.2101193 Text en This article is copyright of the authors or their affiliated institutions, 2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.
spellingShingle Research
Akmatov, Manas K
Holstiege, Jakob
Dammertz, Lotte
Heuer, Joachim
Kohring, Claudia
Lotto-Batista, Martin
Boeing, Friedrich
Ghozzi, Stéphane
Castell, Stefanie
Bätzing, Jörg
Epidemiology of Lyme borreliosis based on outpatient claims data of all people with statutory health insurance, Germany, 2019
title Epidemiology of Lyme borreliosis based on outpatient claims data of all people with statutory health insurance, Germany, 2019
title_full Epidemiology of Lyme borreliosis based on outpatient claims data of all people with statutory health insurance, Germany, 2019
title_fullStr Epidemiology of Lyme borreliosis based on outpatient claims data of all people with statutory health insurance, Germany, 2019
title_full_unstemmed Epidemiology of Lyme borreliosis based on outpatient claims data of all people with statutory health insurance, Germany, 2019
title_short Epidemiology of Lyme borreliosis based on outpatient claims data of all people with statutory health insurance, Germany, 2019
title_sort epidemiology of lyme borreliosis based on outpatient claims data of all people with statutory health insurance, germany, 2019
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9373599/
https://www.ncbi.nlm.nih.gov/pubmed/35959689
http://dx.doi.org/10.2807/1560-7917.ES.2022.27.32.2101193
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