Potential quantitative effect of a laboratory-based approach to Lyme disease surveillance in high-incidence states.
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| Title: | Potential quantitative effect of a laboratory-based approach to Lyme disease surveillance in high-incidence states. |
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| Authors: | Kugeler KJ; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, Colorado, USA., Cervantes K; New Jersey Department of Health, Trenton, New Jersey, USA., Brown CM; Massachusetts Department of Public Health, Boston, Massachusetts, USA., Horiuchi K; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, Colorado, USA., Schiffman E; Minnesota Department of Health, Saint Paul, Minnesota, USA., Lind L; Pennsylvania Department of Health, Harrisburg, Pennsylvania, USA., Barkley J; Rhode Island Department of Health, Providence, Rhode Island, USA., Broyhill J; Virginia Department of Health, Richmond, Virginia, USA., Murphy J; Virginia Department of Health, Richmond, Virginia, USA., Crum D; Maryland Department of Health, Baltimore, Maryland, USA., Robinson S; Maine Center for Disease Control and Prevention, Augusta, Maine, USA., Kwit NA; Vermont Department of Health, Burlington, Vermont, USA., Mullins J; Connecticut Department of Health, Hartford, Connecticut, USA., Sun J; Connecticut Department of Health, Hartford, Connecticut, USA., Hinckley AF; Division of Vector-Borne Diseases, Centers for Disease Control and Prevention, Fort Collins, Colorado, USA. |
| Source: | Zoonoses and public health [Zoonoses Public Health] 2022 Aug; Vol. 69 (5), pp. 451-457. Date of Electronic Publication: 2022 Mar 06. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Blackwell Verlag Country of Publication: Germany NLM ID: 101300786 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1863-2378 (Electronic) Linking ISSN: 18631959 NLM ISO Abbreviation: Zoonoses Public Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1863-2378 |
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| DOI: | 10.1111/zph.12933 |
