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Enumerating the State and Local Public Health Workforce During the COVID-19 Response.

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Title: Enumerating the State and Local Public Health Workforce During the COVID-19 Response.
Authors: Vogel, Abby, Onal, Sezen O., Weiss, Nicole M., Zang, Xiao, Pak, Morgan, Joseph, Bibin, Leider, Jonathon P.
Source: American Journal of Public Health. May2025, Vol. 115 Issue 5, p716-725. 10p.
Subjects: Public officers, Descriptive statistics, Federal government, Public health, Confidence intervals, Labor supply, COVID-19 pandemic
Geographic Terms: United States
Abstract: Objectives. To understand the landscape of the nonfederal governmental public health workforce and to identify replicable methods for future enumerations. Methods. This enumeration of the state and local public health workforce was conducted from 2023 to 2024 and triangulated the National Association of County and City Health Officials (NACCHO) Profile 2022 and the Association of State and Territorial Health Officials (ASTHO) Profile 2022. We utilized Public Health Workforce Interests and Needs Survey (PH WINS) data from 2021 to assess demographic distributions across Department of Health and Human Services (HHS) regions in the United States. Results. A total of 239 000 staff were employed in state and local health departments in 2022, a 2% increase since 2012. Sixteen states—including 6 in the Southeast—lost staff relative to population growth. Conclusions. An uneven landscape of public health workforce density reflects chronic underinvestment in public health. The process of enumeration itself was also fraught with pitfalls and data limitations. Public Health Implications. We recommend building on federal investments to develop dedicated funding streams for state and local public health. We also recommend amending federal efforts around enumeration to include governmental public health at all levels. [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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DbLabel: Psychology and Behavioral Sciences Collection
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PubTypeId: academicJournal
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  Data: Enumerating the State and Local Public Health Workforce During the COVID-19 Response.
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  Data: <searchLink fieldCode="AR" term="%22Vogel%2C+Abby%22">Vogel, Abby</searchLink><br /><searchLink fieldCode="AR" term="%22Onal%2C+Sezen+O%2E%22">Onal, Sezen O.</searchLink><br /><searchLink fieldCode="AR" term="%22Weiss%2C+Nicole+M%2E%22">Weiss, Nicole M.</searchLink><br /><searchLink fieldCode="AR" term="%22Zang%2C+Xiao%22">Zang, Xiao</searchLink><br /><searchLink fieldCode="AR" term="%22Pak%2C+Morgan%22">Pak, Morgan</searchLink><br /><searchLink fieldCode="AR" term="%22Joseph%2C+Bibin%22">Joseph, Bibin</searchLink><br /><searchLink fieldCode="AR" term="%22Leider%2C+Jonathon+P%2E%22">Leider, Jonathon P.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Public+Health%22">American Journal of Public Health</searchLink>. May2025, Vol. 115 Issue 5, p716-725. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Public+officers%22">Public officers</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Federal+government%22">Federal government</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health%22">Public health</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Labor+supply%22">Labor supply</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink>
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  Label: Abstract
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  Data: Objectives. To understand the landscape of the nonfederal governmental public health workforce and to identify replicable methods for future enumerations. Methods. This enumeration of the state and local public health workforce was conducted from 2023 to 2024 and triangulated the National Association of County and City Health Officials (NACCHO) Profile 2022 and the Association of State and Territorial Health Officials (ASTHO) Profile 2022. We utilized Public Health Workforce Interests and Needs Survey (PH WINS) data from 2021 to assess demographic distributions across Department of Health and Human Services (HHS) regions in the United States. Results. A total of 239 000 staff were employed in state and local health departments in 2022, a 2% increase since 2012. Sixteen states—including 6 in the Southeast—lost staff relative to population growth. Conclusions. An uneven landscape of public health workforce density reflects chronic underinvestment in public health. The process of enumeration itself was also fraught with pitfalls and data limitations. Public Health Implications. We recommend building on federal investments to develop dedicated funding streams for state and local public health. We also recommend amending federal efforts around enumeration to include governmental public health at all levels. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.2105/AJPH.2024.307964
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        Text: English
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        Type: general
      – SubjectFull: Descriptive statistics
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      – SubjectFull: Federal government
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      – SubjectFull: Public health
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      – SubjectFull: Confidence intervals
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      – SubjectFull: Labor supply
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      – SubjectFull: COVID-19 pandemic
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      – SubjectFull: United States
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              Text: May2025
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