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Time series analysis of the incidence of acute upper respiratory tract infections, COVID-19 and the use of antibiotics in Finland during the COVID-19 epidemic: a cohort study of 833 444 patients
OBJECTIVE: To evaluate the trajectories of acute upper respiratory tract infections (URTIs), COVID-19, and the use of antibiotics in Finland during the COVID-19 epidemic. DESIGN: Population-based cohort study. SETTING: Electronic medical records from a nationwide healthcare chain in Finland. PARTICI...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804308/ https://www.ncbi.nlm.nih.gov/pubmed/35105608 http://dx.doi.org/10.1136/bmjopen-2020-046490 |
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author | Niemenoja, Oskar Taalas, Ara Taimela, Simo Bono, Petri Huovinen, Pentti Riihijärvi, Sari |
author_facet | Niemenoja, Oskar Taalas, Ara Taimela, Simo Bono, Petri Huovinen, Pentti Riihijärvi, Sari |
author_sort | Niemenoja, Oskar |
collection | PubMed |
description | OBJECTIVE: To evaluate the trajectories of acute upper respiratory tract infections (URTIs), COVID-19, and the use of antibiotics in Finland during the COVID-19 epidemic. DESIGN: Population-based cohort study. SETTING: Electronic medical records from a nationwide healthcare chain in Finland. PARTICIPANTS: 833 444 patients from a cohort of 1 970 013 Finns who had used medical services between 2017 and 2020. MAIN OUTCOME MEASURES: Number of weekly patients of acute URTIs, COVID-19, and the prescribed number of antibiotics in Finland between 6 January 2020 and 21 June 2020. We estimated the respective expected numbers from 1 March 2020 onward using autoregressive integrated moving average model from 1 January 2017 to 1 March 2020. We assessed the public interest in COVID-19 by collecting Google search trend frequencies. RESULTS: There was a rapid increase in COVID-related internet searches between weeks 10 and 12. At the same time, there was a 106% increase in diagnoses of acute URTIs, from 410 per 100 000 inhabitants to 845 per 100 000. The first COVID-19 cases were diagnosed on week 11. Prescriptions for URTI-related antibiotics declined by 71% (403 per 100 000 to 117 per 100 000) between weeks 11 and 15 while no relevant change took place in prescriptions of antibiotics for urinary tract infections. CONCLUSIONS: At the beginning of the epidemic, many people contacted healthcare professionals with relatively mild symptoms, as indicated by the reduced rate of URTI-antibiotics prescriptions. Our findings indicate that health service providers should be prepared for rapid variations in service demand. Securing access of true COVID-19 patients to proper diagnostics, care and isolation measures may help in preventing the spread of the disease. |
format | Online Article Text |
id | pubmed-8804308 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-88043082022-02-01 Time series analysis of the incidence of acute upper respiratory tract infections, COVID-19 and the use of antibiotics in Finland during the COVID-19 epidemic: a cohort study of 833 444 patients Niemenoja, Oskar Taalas, Ara Taimela, Simo Bono, Petri Huovinen, Pentti Riihijärvi, Sari BMJ Open Epidemiology OBJECTIVE: To evaluate the trajectories of acute upper respiratory tract infections (URTIs), COVID-19, and the use of antibiotics in Finland during the COVID-19 epidemic. DESIGN: Population-based cohort study. SETTING: Electronic medical records from a nationwide healthcare chain in Finland. PARTICIPANTS: 833 444 patients from a cohort of 1 970 013 Finns who had used medical services between 2017 and 2020. MAIN OUTCOME MEASURES: Number of weekly patients of acute URTIs, COVID-19, and the prescribed number of antibiotics in Finland between 6 January 2020 and 21 June 2020. We estimated the respective expected numbers from 1 March 2020 onward using autoregressive integrated moving average model from 1 January 2017 to 1 March 2020. We assessed the public interest in COVID-19 by collecting Google search trend frequencies. RESULTS: There was a rapid increase in COVID-related internet searches between weeks 10 and 12. At the same time, there was a 106% increase in diagnoses of acute URTIs, from 410 per 100 000 inhabitants to 845 per 100 000. The first COVID-19 cases were diagnosed on week 11. Prescriptions for URTI-related antibiotics declined by 71% (403 per 100 000 to 117 per 100 000) between weeks 11 and 15 while no relevant change took place in prescriptions of antibiotics for urinary tract infections. CONCLUSIONS: At the beginning of the epidemic, many people contacted healthcare professionals with relatively mild symptoms, as indicated by the reduced rate of URTI-antibiotics prescriptions. Our findings indicate that health service providers should be prepared for rapid variations in service demand. Securing access of true COVID-19 patients to proper diagnostics, care and isolation measures may help in preventing the spread of the disease. BMJ Publishing Group 2022-01-31 /pmc/articles/PMC8804308/ /pubmed/35105608 http://dx.doi.org/10.1136/bmjopen-2020-046490 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Epidemiology Niemenoja, Oskar Taalas, Ara Taimela, Simo Bono, Petri Huovinen, Pentti Riihijärvi, Sari Time series analysis of the incidence of acute upper respiratory tract infections, COVID-19 and the use of antibiotics in Finland during the COVID-19 epidemic: a cohort study of 833 444 patients |
title | Time series analysis of the incidence of acute upper respiratory tract infections, COVID-19 and the use of antibiotics in Finland during the COVID-19 epidemic: a cohort study of 833 444 patients |
title_full | Time series analysis of the incidence of acute upper respiratory tract infections, COVID-19 and the use of antibiotics in Finland during the COVID-19 epidemic: a cohort study of 833 444 patients |
title_fullStr | Time series analysis of the incidence of acute upper respiratory tract infections, COVID-19 and the use of antibiotics in Finland during the COVID-19 epidemic: a cohort study of 833 444 patients |
title_full_unstemmed | Time series analysis of the incidence of acute upper respiratory tract infections, COVID-19 and the use of antibiotics in Finland during the COVID-19 epidemic: a cohort study of 833 444 patients |
title_short | Time series analysis of the incidence of acute upper respiratory tract infections, COVID-19 and the use of antibiotics in Finland during the COVID-19 epidemic: a cohort study of 833 444 patients |
title_sort | time series analysis of the incidence of acute upper respiratory tract infections, covid-19 and the use of antibiotics in finland during the covid-19 epidemic: a cohort study of 833 444 patients |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8804308/ https://www.ncbi.nlm.nih.gov/pubmed/35105608 http://dx.doi.org/10.1136/bmjopen-2020-046490 |
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