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Evaluation of Syndromic Surveillance Systems in 6 US State and Local Health Departments

CITE Title : Evaluation of Syndromic Surveillance Systems in 6 US State and Local Health Departments Personal Author(s) : Thomas, Mathew J.;Yoon, Paula W.;Collins, James M.;Davidson, Arthur J.;Mac Kenzie, William R.; Published Date : 2018 May/Jun Source : J Public Health Manag Pract. 24(3):235-240. URL : https://stacks.cdc.gov/view/cdc/60038 Thomas, Mathew J. et al. (2018). Evaluation of Syndromic Surveillance Systems in 6 US State and Local Health Departments. 24(3). Thomas, Mathew J. et al. "Evaluation of Syndromic Surveillance Systems in 6 US State and Local Health Departments" 24, no. 3 (2018) Thomas, Mathew J. et al. "Evaluation of Syndromic Surveillance Systems in 6 US State and Local Health Departments" vol. 24, no. 3, 2018 Export RIS Citation Information.

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Thomas, Mathew J. ;

Yoon, Paula W.

2018 May/Jun | J Public Health Manag Pract. 24(3):235-240.

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Objective:Evaluating public health surveillance systems is critical to ensuring that conditions of public health importance are appropriately monitore...
A Governance Framework to Integrate Longitudinal Clinical and Community Data in a Distributed Data Network: The Childhood Obesity Data Initiative

CITE Title : A Governance Framework to Integrate Longitudinal Clinical and Community Data in a Distributed Data Network: The Childhood Obesity Data Initiative Personal Author(s) : Kraus, Emily M.;Scott, Kenneth A.;Zucker, Rachel;Heisey-Grove, Dawn;King, Raymond J.;Carton, Thomas W.;Daley, Matthew F.;Deakyne Davies, Sara J.;Block, Jason P.;Haemer, Matthew;Goodman, Alyson B.;Garrett, Nedra;Davidson, Arthur J.; Published Date : 3 2022;Mar-Apr 2022; Source : J Public Health Manag Pract. 28(2):E421-E429 URL : https://stacks.cdc.gov/view/cdc/114111 Kraus, Emily M. et al. (2022). A Governance Framework to Integrate Longitudinal Clinical and Community Data in a Distributed Data Network: The Childhood Obesity Data Initiative. 28(2). Kraus, Emily M. et al. "A Governance Framework to Integrate Longitudinal Clinical and Community Data in a Distributed Data Network: The Childhood Obesity Data Initiative" 28, no. 2 (2022) Kraus, Emily M. et al. "A Governance Framework to Integrate Longitudinal Clinical and Community Data in a Distributed Data Network: The Childhood Obesity Data Initiative" vol. 28, no. 2, 2022 Export RIS Citation Information.

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Kraus, Emily M. ;

Scott, Kenneth A.

3 2022 | J Public Health Manag Pract. 28(2):E421-E429

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ContextIntegrating longitudinal data from community-based organizations (e.g., physical activity programs) with electronic health record information c...
Monitoring opioid addiction and treatment: Do you know if your population is engaged?

CITE Title : Monitoring opioid addiction and treatment: Do you know if your population is engaged? Personal Author(s) : Prieto, José Tomás;McEwen, Dean;Davidson, Arthur J.;Al-Tayyib, Alia;Gawenus, Lisa;Sangareddy, Sridhar R. Papagari;Blum, Joshua;Foldy, Seth;Shlay, Judith C.; Published Date : July 06 2019 Source : Drug Alcohol Depend. 202:56-60 URL : https://stacks.cdc.gov/view/cdc/80594 Prieto, José Tomás et al. (2019). Monitoring opioid addiction and treatment: Do you know if your population is engaged?. 202 Prieto, José Tomás et al. "Monitoring opioid addiction and treatment: Do you know if your population is engaged?" 202 (2019) Prieto, José Tomás et al. "Monitoring opioid addiction and treatment: Do you know if your population is engaged?" vol. 202, 2019 Export RIS Citation Information.

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Prieto, José Tomás ;

McEwen, Dean

July 06 2019 | Drug Alcohol Depend. 202:56-60

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Background:Assessment of people affected by opioid-related problems and those receiving care is challenging due to lack of common definitions and scat...
Developing a Regional Distributed Data Network for Surveillance of Chronic Health Conditions: The Colorado Health Observation Regional Data Service

CITE Title : Developing a Regional Distributed Data Network for Surveillance of Chronic Health Conditions: The Colorado Health Observation Regional Data Service Personal Author(s) : Bacon, Emily;Budney, Gregory;Bondy, Jessica;Kahn, Michael G.;McCormick, Emily V.;Steiner, John F.;Tabano, David;Waxmonsky, Jeanette A.;Zucker, Rachel;Davidson, Arthur J.; Published Date : 2019;Sep-Oct 2019; Source : J Public Health Manag Pract. 25(5):498-507 URL : https://stacks.cdc.gov/view/cdc/89011 Bacon, Emily et al. (2019). Developing a Regional Distributed Data Network for Surveillance of Chronic Health Conditions: The Colorado Health Observation Regional Data Service. 25(5). Bacon, Emily et al. "Developing a Regional Distributed Data Network for Surveillance of Chronic Health Conditions: The Colorado Health Observation Regional Data Service" 25, no. 5 (2019) Bacon, Emily et al. "Developing a Regional Distributed Data Network for Surveillance of Chronic Health Conditions: The Colorado Health Observation Regional Data Service" vol. 25, no. 5, 2019 Export RIS Citation Information.

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Bacon, Emily ;

Budney, Gregory

2019 | J Public Health Manag Pract. 25(5):498-507

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Electronic health records (EHRs) provide an alternative to traditional public health surveillance surveys and administrative data for measuring the pr...