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Open Access
Peer-reviewed
Research Article
Development and validation of a prediction algorithm to identify birth in countries with high tuberculosis incidence in two large California health systems
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Heidi Fischer ,
Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Writing – original draft, Writing – review & editing
* E-mail: Heidi.Fischer@kp.org
Affiliation Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America
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Lei Qian,
Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – review & editing
Affiliation Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America
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Jacek Skarbinski,
Roles Conceptualization, Investigation, Methodology, Writing – review & editing
Affiliations Division of Research, Kaiser Permanente Northern California, Oakland, California, United States of America, Department of Infectious Diseases, Oakland Medical Center, Kaiser Permanente Northern California, Oakland, California, United States of America
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Katia J. Bruxvoort,
Roles Conceptualization, Investigation, Methodology, Writing – review & editing
Affiliations Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America, Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America
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Rong Wei,
Roles Data curation, Software, Writing – review & editing
Affiliation Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America
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Kris Li,
Roles Data curation, Software, Writing – review & editing
Affiliation Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America
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Laura B. Amsden,
Roles Project administration, Writing – review & editing
Affiliation Division of Research, Kaiser Permanente Northern California, Oakland, California, United States of America
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Mariah S. Wood,
Roles Data curation, Software, Writing – review & editing
Affiliation Division of Research, Kaiser Permanente Northern California, Oakland, California, United States of America
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Abigail Eaton,
Roles Data curation, Software, Writing – review & editing
Affiliation Division of Research, Kaiser Permanente Northern California, Oakland, California, United States of America
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Brigitte C. Spence,
Roles Project administration, Writing – review & editing
Affiliation Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America
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Sally F. Shaw,
Roles Project administration, Writing – review & editing
Affiliation Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America
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Sara Y. Tartof
Roles Conceptualization, Funding acquisition, Investigation, Methodology, Supervision, Writing – review & editing
Affiliations Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America, Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, United States of America
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Development and validation of a prediction algorithm to identify birth in countries with high tuberculosis incidence in two large California health systems
- Heidi Fischer,
- Lei Qian,
- Jacek Skarbinski,
- Katia J. Bruxvoort,
- Rong Wei,
- Kris Li,
- Laura B. Amsden,
- Mariah S. Wood,
- Abigail Eaton,
- Brigitte C. Spence
- Published: August 25, 2022
- https://doi.org/10.1371/journal.pone.0273363