Cargando…
Surveillance of COVID-19 using a keyword search for symptoms in reports from emergency medical communication centers in Gironde, France: a 15 year retrospective cross-sectional study
During periods such as the COVID-19 crisis, there is a need for responsive public health surveillance indicators related to the epidemic. To determine the performance of keyword-search algorithm in call reports to emergency medical communication centers (EMCC) to describe trends in symptoms during t...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319585/ https://www.ncbi.nlm.nih.gov/pubmed/34324146 http://dx.doi.org/10.1007/s11739-021-02818-5 |
_version_ | 1783730480826286080 |
---|---|
author | Gil-Jardiné, Cédric Chenais, Gabrielle Pradeau, Catherine Tentillier, Eric Revel, Phillipe Combes, Xavier Galinski, Michel Tellier, Eric Lagarde, Emmanuel |
author_facet | Gil-Jardiné, Cédric Chenais, Gabrielle Pradeau, Catherine Tentillier, Eric Revel, Phillipe Combes, Xavier Galinski, Michel Tellier, Eric Lagarde, Emmanuel |
author_sort | Gil-Jardiné, Cédric |
collection | PubMed |
description | During periods such as the COVID-19 crisis, there is a need for responsive public health surveillance indicators related to the epidemic. To determine the performance of keyword-search algorithm in call reports to emergency medical communication centers (EMCC) to describe trends in symptoms during the COVID-19 crisis. We retrospectively retrieved all free text call reports from the EMCC of the Gironde department (SAMU 33), France, between 2005 and 2020 and classified them with a simple keyword-based algorithm to identify symptoms relevant to COVID-19. A validation was performed using a sample of manually coded call reports. The six selected symptoms were fever, cough, muscle soreness, dyspnea, ageusia and anosmia. We retrieved 38,08,243 call reports from January 2005 to October 2020. A total of 8539 reports were manually coded for validation and Cohen’s kappa statistics ranged from 75 (keyword anosmia) to 59% (keyword dyspnea). There was an unprecedented peak in the number of daily calls mentioning fever, cough, muscle soreness, anosmia, ageusia, and dyspnea during the COVID-19 epidemic, compared to the past 15 years. Calls mentioning cough, fever and muscle soreness began to increase from February 21, 2020. The number of daily calls reporting cough reached 208 on March 3, 2020, a level higher than any in the previous 15 years, and peaked on March 15, 2020, 2 days before lockdown. Calls referring to dyspnea, anosmia and ageusia peaked 12 days later and were concomitant with the daily number of emergency room admissions. Trends in symptoms cited in calls to EMCC during the COVID-19 crisis provide insights into the natural history of COVID-19. The content of calls to EMCC is an efficient epidemiological surveillance data source and should be integrated into the national surveillance system. |
format | Online Article Text |
id | pubmed-8319585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-83195852021-07-29 Surveillance of COVID-19 using a keyword search for symptoms in reports from emergency medical communication centers in Gironde, France: a 15 year retrospective cross-sectional study Gil-Jardiné, Cédric Chenais, Gabrielle Pradeau, Catherine Tentillier, Eric Revel, Phillipe Combes, Xavier Galinski, Michel Tellier, Eric Lagarde, Emmanuel Intern Emerg Med EM - Original During periods such as the COVID-19 crisis, there is a need for responsive public health surveillance indicators related to the epidemic. To determine the performance of keyword-search algorithm in call reports to emergency medical communication centers (EMCC) to describe trends in symptoms during the COVID-19 crisis. We retrospectively retrieved all free text call reports from the EMCC of the Gironde department (SAMU 33), France, between 2005 and 2020 and classified them with a simple keyword-based algorithm to identify symptoms relevant to COVID-19. A validation was performed using a sample of manually coded call reports. The six selected symptoms were fever, cough, muscle soreness, dyspnea, ageusia and anosmia. We retrieved 38,08,243 call reports from January 2005 to October 2020. A total of 8539 reports were manually coded for validation and Cohen’s kappa statistics ranged from 75 (keyword anosmia) to 59% (keyword dyspnea). There was an unprecedented peak in the number of daily calls mentioning fever, cough, muscle soreness, anosmia, ageusia, and dyspnea during the COVID-19 epidemic, compared to the past 15 years. Calls mentioning cough, fever and muscle soreness began to increase from February 21, 2020. The number of daily calls reporting cough reached 208 on March 3, 2020, a level higher than any in the previous 15 years, and peaked on March 15, 2020, 2 days before lockdown. Calls referring to dyspnea, anosmia and ageusia peaked 12 days later and were concomitant with the daily number of emergency room admissions. Trends in symptoms cited in calls to EMCC during the COVID-19 crisis provide insights into the natural history of COVID-19. The content of calls to EMCC is an efficient epidemiological surveillance data source and should be integrated into the national surveillance system. Springer International Publishing 2021-07-29 2022 /pmc/articles/PMC8319585/ /pubmed/34324146 http://dx.doi.org/10.1007/s11739-021-02818-5 Text en © Società Italiana di Medicina Interna (SIMI) 2021, corrected publication 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | EM - Original Gil-Jardiné, Cédric Chenais, Gabrielle Pradeau, Catherine Tentillier, Eric Revel, Phillipe Combes, Xavier Galinski, Michel Tellier, Eric Lagarde, Emmanuel Surveillance of COVID-19 using a keyword search for symptoms in reports from emergency medical communication centers in Gironde, France: a 15 year retrospective cross-sectional study |
title | Surveillance of COVID-19 using a keyword search for symptoms in reports from emergency medical communication centers in Gironde, France: a 15 year retrospective cross-sectional study |
title_full | Surveillance of COVID-19 using a keyword search for symptoms in reports from emergency medical communication centers in Gironde, France: a 15 year retrospective cross-sectional study |
title_fullStr | Surveillance of COVID-19 using a keyword search for symptoms in reports from emergency medical communication centers in Gironde, France: a 15 year retrospective cross-sectional study |
title_full_unstemmed | Surveillance of COVID-19 using a keyword search for symptoms in reports from emergency medical communication centers in Gironde, France: a 15 year retrospective cross-sectional study |
title_short | Surveillance of COVID-19 using a keyword search for symptoms in reports from emergency medical communication centers in Gironde, France: a 15 year retrospective cross-sectional study |
title_sort | surveillance of covid-19 using a keyword search for symptoms in reports from emergency medical communication centers in gironde, france: a 15 year retrospective cross-sectional study |
topic | EM - Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319585/ https://www.ncbi.nlm.nih.gov/pubmed/34324146 http://dx.doi.org/10.1007/s11739-021-02818-5 |
work_keys_str_mv | AT giljardinecedric surveillanceofcovid19usingakeywordsearchforsymptomsinreportsfromemergencymedicalcommunicationcentersingirondefrancea15yearretrospectivecrosssectionalstudy AT chenaisgabrielle surveillanceofcovid19usingakeywordsearchforsymptomsinreportsfromemergencymedicalcommunicationcentersingirondefrancea15yearretrospectivecrosssectionalstudy AT pradeaucatherine surveillanceofcovid19usingakeywordsearchforsymptomsinreportsfromemergencymedicalcommunicationcentersingirondefrancea15yearretrospectivecrosssectionalstudy AT tentilliereric surveillanceofcovid19usingakeywordsearchforsymptomsinreportsfromemergencymedicalcommunicationcentersingirondefrancea15yearretrospectivecrosssectionalstudy AT revelphillipe surveillanceofcovid19usingakeywordsearchforsymptomsinreportsfromemergencymedicalcommunicationcentersingirondefrancea15yearretrospectivecrosssectionalstudy AT combesxavier surveillanceofcovid19usingakeywordsearchforsymptomsinreportsfromemergencymedicalcommunicationcentersingirondefrancea15yearretrospectivecrosssectionalstudy AT galinskimichel surveillanceofcovid19usingakeywordsearchforsymptomsinreportsfromemergencymedicalcommunicationcentersingirondefrancea15yearretrospectivecrosssectionalstudy AT telliereric surveillanceofcovid19usingakeywordsearchforsymptomsinreportsfromemergencymedicalcommunicationcentersingirondefrancea15yearretrospectivecrosssectionalstudy AT lagardeemmanuel surveillanceofcovid19usingakeywordsearchforsymptomsinreportsfromemergencymedicalcommunicationcentersingirondefrancea15yearretrospectivecrosssectionalstudy |