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Acute respiratory infection symptoms and COVID-19 testing behaviour: results based on South Australian health surveys

BACKGROUND: Effective syndromic surveillance alongside COVID-19 testing behaviours in the population including in higher risk and hard to reach subgroups is vital to detect re-emergence of COVID-19 transmission in the community. The aim of this paper was to identify the prevalence of acute respirato...

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Autores principales: Joshi, S., D’Onise, K., Nolan, R., Davis, S., Glass, K., Lokuge, K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685806/
https://www.ncbi.nlm.nih.gov/pubmed/34930193
http://dx.doi.org/10.1186/s12889-021-12359-3
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author Joshi, S.
D’Onise, K.
Nolan, R.
Davis, S.
Glass, K.
Lokuge, K.
author_facet Joshi, S.
D’Onise, K.
Nolan, R.
Davis, S.
Glass, K.
Lokuge, K.
author_sort Joshi, S.
collection PubMed
description BACKGROUND: Effective syndromic surveillance alongside COVID-19 testing behaviours in the population including in higher risk and hard to reach subgroups is vital to detect re-emergence of COVID-19 transmission in the community. The aim of this paper was to identify the prevalence of acute respiratory infection symptoms and coronavirus testing behaviour among South Australians using data from a population based survey. METHODS: We used cross-sectional data from the 2020 state-wide population level health survey on 6857 respondents aged 18 years and above. Descriptive statistics were used to explore the risk factors and multivariable logistic regression models were used to assess the factors associated with the acute respiratory infection symptoms and coronavirus testing behaviour after adjusting for gender, age, household size, household income, Aboriginal and/or Torres Strait Islander status, SEIFA, Country of birth, number of chronic diseases, wellbeing, psychological distress, and mental health. RESULTS: We found that 19.3% of respondents reported having symptoms of acute respiratory infection and the most commonly reported symptoms were a runny nose (11.2%), coughing (9.9%) and sore throat (6.2%). Fever and cough were reported by 0.8% of participants. Of the symptomatic respondents, 32.6% reported seeking health advice from a nurse, doctor or healthcare provider. Around 18% (n = 130) of symptomatic respondents had sought testing and a further 4.3% (n = 31) reported they intended to get tested. The regression results suggest that older age, larger household size, a higher number of chronic disease, mental health condition, poor wellbeing, and psychological distress were associated with higher odds of ARI symptoms. Higher household income was associated with lower odds of being tested or intending to be tested for coronavirus after adjusting for other explanatory variables. CONCLUSIONS: There were relatively high rates of self-reported acute respiratory infection during a period of very low COVID-19 prevalence and low rate of coronavirus testing among symptomatic respondents. Ongoing monitoring of testing uptake, including in higher-risk groups, and possible interventions to improve testing uptake is key to early detection of disease.
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spelling pubmed-86858062021-12-20 Acute respiratory infection symptoms and COVID-19 testing behaviour: results based on South Australian health surveys Joshi, S. D’Onise, K. Nolan, R. Davis, S. Glass, K. Lokuge, K. BMC Public Health Research BACKGROUND: Effective syndromic surveillance alongside COVID-19 testing behaviours in the population including in higher risk and hard to reach subgroups is vital to detect re-emergence of COVID-19 transmission in the community. The aim of this paper was to identify the prevalence of acute respiratory infection symptoms and coronavirus testing behaviour among South Australians using data from a population based survey. METHODS: We used cross-sectional data from the 2020 state-wide population level health survey on 6857 respondents aged 18 years and above. Descriptive statistics were used to explore the risk factors and multivariable logistic regression models were used to assess the factors associated with the acute respiratory infection symptoms and coronavirus testing behaviour after adjusting for gender, age, household size, household income, Aboriginal and/or Torres Strait Islander status, SEIFA, Country of birth, number of chronic diseases, wellbeing, psychological distress, and mental health. RESULTS: We found that 19.3% of respondents reported having symptoms of acute respiratory infection and the most commonly reported symptoms were a runny nose (11.2%), coughing (9.9%) and sore throat (6.2%). Fever and cough were reported by 0.8% of participants. Of the symptomatic respondents, 32.6% reported seeking health advice from a nurse, doctor or healthcare provider. Around 18% (n = 130) of symptomatic respondents had sought testing and a further 4.3% (n = 31) reported they intended to get tested. The regression results suggest that older age, larger household size, a higher number of chronic disease, mental health condition, poor wellbeing, and psychological distress were associated with higher odds of ARI symptoms. Higher household income was associated with lower odds of being tested or intending to be tested for coronavirus after adjusting for other explanatory variables. CONCLUSIONS: There were relatively high rates of self-reported acute respiratory infection during a period of very low COVID-19 prevalence and low rate of coronavirus testing among symptomatic respondents. Ongoing monitoring of testing uptake, including in higher-risk groups, and possible interventions to improve testing uptake is key to early detection of disease. BioMed Central 2021-12-20 /pmc/articles/PMC8685806/ /pubmed/34930193 http://dx.doi.org/10.1186/s12889-021-12359-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Joshi, S.
D’Onise, K.
Nolan, R.
Davis, S.
Glass, K.
Lokuge, K.
Acute respiratory infection symptoms and COVID-19 testing behaviour: results based on South Australian health surveys
title Acute respiratory infection symptoms and COVID-19 testing behaviour: results based on South Australian health surveys
title_full Acute respiratory infection symptoms and COVID-19 testing behaviour: results based on South Australian health surveys
title_fullStr Acute respiratory infection symptoms and COVID-19 testing behaviour: results based on South Australian health surveys
title_full_unstemmed Acute respiratory infection symptoms and COVID-19 testing behaviour: results based on South Australian health surveys
title_short Acute respiratory infection symptoms and COVID-19 testing behaviour: results based on South Australian health surveys
title_sort acute respiratory infection symptoms and covid-19 testing behaviour: results based on south australian health surveys
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8685806/
https://www.ncbi.nlm.nih.gov/pubmed/34930193
http://dx.doi.org/10.1186/s12889-021-12359-3
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