Optimizing identification of Lyme disease diagnoses in commercial insurance claims data, United States, 2016–2019
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Optimizing identification of Lyme disease diagnoses in commercial insurance claims data, United States, 2016–2019 ; volume:24 ; number:1 ; day:20 ; month:11 ; year:2024 ; pages:1-9 ; date:12.2024
BMC infectious diseases ; 24, Heft 1 (20.11.2024), 1-9, 12.2024
- Creator
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Nawrocki, Courtney C.
Earley, Austin R.
Hook, Sarah A.
Hinckley, Alison F.
Kugeler, Kiersten J.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12879-024-10195-5
- URN
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urn:nbn:de:101:1-2502062109237.206220806964
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:36 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Nawrocki, Courtney C.
- Earley, Austin R.
- Hook, Sarah A.
- Hinckley, Alison F.
- Kugeler, Kiersten J.
- SpringerLink (Online service)
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Waldschutzsituation ... in Österreich, 2016/2019
Excel 2016/2019 : Praxis-Tipps & Kniffe
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