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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9779310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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