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Online symptoms self-assessment during COVID-19 pandemic: an analysis of a COVID-19 portal responses from Canada
COVID-19 case was first identified in Canada on January 25, 2020, on a Toronto resident who had travelled to Wuhan China, and not long after, the WHO declared the viral infection a pandemic. Ontario health West created an online self-assessment portal that allowed individuals in the health region an...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156693/ https://www.ncbi.nlm.nih.gov/pubmed/35641577 http://dx.doi.org/10.1038/s41598-022-13053-z |
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author | Egbujie, Bonaventure A. Francisco, Krizia Alarakhia, Mohamed Hirdes, John P. |
author_facet | Egbujie, Bonaventure A. Francisco, Krizia Alarakhia, Mohamed Hirdes, John P. |
author_sort | Egbujie, Bonaventure A. |
collection | PubMed |
description | COVID-19 case was first identified in Canada on January 25, 2020, on a Toronto resident who had travelled to Wuhan China, and not long after, the WHO declared the viral infection a pandemic. Ontario health West created an online self-assessment portal that allowed individuals in the health region and adjourning areas to report any COVID related symptoms. The purpose of this study was to evaluate the utility and usefulness of the Ontario Heath West online COVID-19 self-assessment portal. Record level data obtained from the Ontario Health West self-assessment portal was analyzed. Descriptive statistics using charts and graphs were used to characterize the distribution of responses to the portal. In-depth analysis using correlation, lead-lag analysis, and trend comparison with actual Government of Ontario COVID-19 cases for the region were also conducted. A total of 34,144 distinct responses were recorded on the portal between April 10 and July 29, 2020, with 1,250 (3.7%) responding positively to one of the emergency symptoms questions. Trend analysis showed a peak portal response in May 2020 with a smaller rise subsequently in July 2020, coinciding with the actual COVID-19 peak in the region. The five most reported symptoms on the portal were sore throat (17.2%), headache (12.9%), fatigue (12.3%), digestive problems (12.2%) and cough (9.1%). For four sub-regions, the trend of self-report on the portal positively lagged actual Public Health Ontario reported COVID-19 cases, while for one sub-region, the trend positively led the actual Public Health Ontario reported COVID-19 cases for the area. We found correlation between online COVID-19 self- assessment data and the confirmed COVID-19 cases in the Southwestern region of Ontario. Trends in the COVID-19 associated emergency symptoms reported on the portal also tracked confirmed COVID-19 cases in the community. Peak response to the portal coincided with the peak volume of confirmed cases in Ontario during the first wave of COVID-19 pandemic in Canada, suggesting some consistency between the experiences of portal users and patterns of COVID-19 illness in the community. The portal was a useful tool at the person-level because it provided guidance to individuals about how to access appropriate health services according to the symptoms that they reported and connected them with primary care, reducing unnecessary visit to health facilities for COVID-19 related care. |
format | Online Article Text |
id | pubmed-9156693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91566932022-06-02 Online symptoms self-assessment during COVID-19 pandemic: an analysis of a COVID-19 portal responses from Canada Egbujie, Bonaventure A. Francisco, Krizia Alarakhia, Mohamed Hirdes, John P. Sci Rep Article COVID-19 case was first identified in Canada on January 25, 2020, on a Toronto resident who had travelled to Wuhan China, and not long after, the WHO declared the viral infection a pandemic. Ontario health West created an online self-assessment portal that allowed individuals in the health region and adjourning areas to report any COVID related symptoms. The purpose of this study was to evaluate the utility and usefulness of the Ontario Heath West online COVID-19 self-assessment portal. Record level data obtained from the Ontario Health West self-assessment portal was analyzed. Descriptive statistics using charts and graphs were used to characterize the distribution of responses to the portal. In-depth analysis using correlation, lead-lag analysis, and trend comparison with actual Government of Ontario COVID-19 cases for the region were also conducted. A total of 34,144 distinct responses were recorded on the portal between April 10 and July 29, 2020, with 1,250 (3.7%) responding positively to one of the emergency symptoms questions. Trend analysis showed a peak portal response in May 2020 with a smaller rise subsequently in July 2020, coinciding with the actual COVID-19 peak in the region. The five most reported symptoms on the portal were sore throat (17.2%), headache (12.9%), fatigue (12.3%), digestive problems (12.2%) and cough (9.1%). For four sub-regions, the trend of self-report on the portal positively lagged actual Public Health Ontario reported COVID-19 cases, while for one sub-region, the trend positively led the actual Public Health Ontario reported COVID-19 cases for the area. We found correlation between online COVID-19 self- assessment data and the confirmed COVID-19 cases in the Southwestern region of Ontario. Trends in the COVID-19 associated emergency symptoms reported on the portal also tracked confirmed COVID-19 cases in the community. Peak response to the portal coincided with the peak volume of confirmed cases in Ontario during the first wave of COVID-19 pandemic in Canada, suggesting some consistency between the experiences of portal users and patterns of COVID-19 illness in the community. The portal was a useful tool at the person-level because it provided guidance to individuals about how to access appropriate health services according to the symptoms that they reported and connected them with primary care, reducing unnecessary visit to health facilities for COVID-19 related care. Nature Publishing Group UK 2022-05-31 /pmc/articles/PMC9156693/ /pubmed/35641577 http://dx.doi.org/10.1038/s41598-022-13053-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Egbujie, Bonaventure A. Francisco, Krizia Alarakhia, Mohamed Hirdes, John P. Online symptoms self-assessment during COVID-19 pandemic: an analysis of a COVID-19 portal responses from Canada |
title | Online symptoms self-assessment during COVID-19 pandemic: an analysis of a COVID-19 portal responses from Canada |
title_full | Online symptoms self-assessment during COVID-19 pandemic: an analysis of a COVID-19 portal responses from Canada |
title_fullStr | Online symptoms self-assessment during COVID-19 pandemic: an analysis of a COVID-19 portal responses from Canada |
title_full_unstemmed | Online symptoms self-assessment during COVID-19 pandemic: an analysis of a COVID-19 portal responses from Canada |
title_short | Online symptoms self-assessment during COVID-19 pandemic: an analysis of a COVID-19 portal responses from Canada |
title_sort | online symptoms self-assessment during covid-19 pandemic: an analysis of a covid-19 portal responses from canada |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156693/ https://www.ncbi.nlm.nih.gov/pubmed/35641577 http://dx.doi.org/10.1038/s41598-022-13053-z |
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