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Improving Surveillance and Epidemic Response in Ohio Childcare Settings

At the start of the Coronavirus Disease of 2019 (COVID-19) pandemic, the risk of cases in childcare programs was unknown. Thus, a rapid-response research approach was launched in Ohio childcare settings. Passive surveillance data from a state-operated incident reporting system were evaluated to esti...

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Autores principales: Freedman, Darcy A., Ciesielski, Timothy H., Yamoah, Owusua, Borawski, Elaine A., Ross, Kristie R., Nock, Nora L., Lee, Eun Kyung, Dimitropoulos, Anastasia, Minnes, Sonia, Burkhart, Kimberly, Ogland-Hand, Callie, Tisch, Daniel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779310/
https://www.ncbi.nlm.nih.gov/pubmed/36554817
http://dx.doi.org/10.3390/ijerph192416927
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author Freedman, Darcy A.
Ciesielski, Timothy H.
Yamoah, Owusua
Borawski, Elaine A.
Ross, Kristie R.
Nock, Nora L.
Lee, Eun Kyung
Dimitropoulos, Anastasia
Minnes, Sonia
Burkhart, Kimberly
Ogland-Hand, Callie
Tisch, Daniel J.
author_facet Freedman, Darcy A.
Ciesielski, Timothy H.
Yamoah, Owusua
Borawski, Elaine A.
Ross, Kristie R.
Nock, Nora L.
Lee, Eun Kyung
Dimitropoulos, Anastasia
Minnes, Sonia
Burkhart, Kimberly
Ogland-Hand, Callie
Tisch, Daniel J.
author_sort Freedman, Darcy A.
collection PubMed
description At the start of the Coronavirus Disease of 2019 (COVID-19) pandemic, the risk of cases in childcare programs was unknown. Thus, a rapid-response research approach was launched in Ohio childcare settings. Passive surveillance data from a state-operated incident reporting system were evaluated to estimate the number of COVID-19 cases from 15 August 2020 to 1 January 2021. Additionally, active surveillance with self-administered reverse transcriptase–polymerase chain reaction (RT-PCR) tests were conducted among staff at 46 childcare programs. Finally, six zoom-based focus groups with program administrators were used to gain feedback. Staff and children in childcare settings contributed 0.38% and 0.15% of the COVID-19 cases in Ohio during this timeframe, respectively. RT-PCR testing identified 3 unrecognized cases (0.88% of tests), and all occurred when the statewide positivity rate was >5%. Focus groups revealed that access to affordable cleaning supplies, masks, and reliable staffing were critical. Perhaps most importantly, we conclude that expanding the incident reporting system to include a childcare census would allow for the tracking of future health problems with highly valuable incidence rate estimations.
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spelling pubmed-97793102022-12-23 Improving Surveillance and Epidemic Response in Ohio Childcare Settings Freedman, Darcy A. Ciesielski, Timothy H. Yamoah, Owusua Borawski, Elaine A. Ross, Kristie R. Nock, Nora L. Lee, Eun Kyung Dimitropoulos, Anastasia Minnes, Sonia Burkhart, Kimberly Ogland-Hand, Callie Tisch, Daniel J. Int J Environ Res Public Health Brief Report At the start of the Coronavirus Disease of 2019 (COVID-19) pandemic, the risk of cases in childcare programs was unknown. Thus, a rapid-response research approach was launched in Ohio childcare settings. Passive surveillance data from a state-operated incident reporting system were evaluated to estimate the number of COVID-19 cases from 15 August 2020 to 1 January 2021. Additionally, active surveillance with self-administered reverse transcriptase–polymerase chain reaction (RT-PCR) tests were conducted among staff at 46 childcare programs. Finally, six zoom-based focus groups with program administrators were used to gain feedback. Staff and children in childcare settings contributed 0.38% and 0.15% of the COVID-19 cases in Ohio during this timeframe, respectively. RT-PCR testing identified 3 unrecognized cases (0.88% of tests), and all occurred when the statewide positivity rate was >5%. Focus groups revealed that access to affordable cleaning supplies, masks, and reliable staffing were critical. Perhaps most importantly, we conclude that expanding the incident reporting system to include a childcare census would allow for the tracking of future health problems with highly valuable incidence rate estimations. MDPI 2022-12-16 /pmc/articles/PMC9779310/ /pubmed/36554817 http://dx.doi.org/10.3390/ijerph192416927 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Brief Report
Freedman, Darcy A.
Ciesielski, Timothy H.
Yamoah, Owusua
Borawski, Elaine A.
Ross, Kristie R.
Nock, Nora L.
Lee, Eun Kyung
Dimitropoulos, Anastasia
Minnes, Sonia
Burkhart, Kimberly
Ogland-Hand, Callie
Tisch, Daniel J.
Improving Surveillance and Epidemic Response in Ohio Childcare Settings
title Improving Surveillance and Epidemic Response in Ohio Childcare Settings
title_full Improving Surveillance and Epidemic Response in Ohio Childcare Settings
title_fullStr Improving Surveillance and Epidemic Response in Ohio Childcare Settings
title_full_unstemmed Improving Surveillance and Epidemic Response in Ohio Childcare Settings
title_short Improving Surveillance and Epidemic Response in Ohio Childcare Settings
title_sort improving surveillance and epidemic response in ohio childcare settings
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779310/
https://www.ncbi.nlm.nih.gov/pubmed/36554817
http://dx.doi.org/10.3390/ijerph192416927
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