Evaluation of the acute respiratory infections surveillance system and associated factors: a cross-sectional study, Brazil, 2009-2021
Abstract Objective To evaluate quality of acute respiratory infection reporting in Brazil, 2009-2021, and to analyze association with contextual factors, the COVID-19 pandemic and death as the clinical outcome. Methods Cross-sectional study of quality of completeness and timeliness of reporting...
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| Format: | Article |
| Language: | English |
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Ministério da Saúde do Brasil
2025-05-01
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| Series: | Epidemiologia e Serviços de Saúde |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2237-96222025000100224&lng=en&tlng=en |
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| author | Gustavo Cezar Wagner Leandro Laiz Mangini Cicchelero Miyoko Massago Daiane Glaucia de Oliveira Dayse Mara Bortoli Roberth Steven Gutiérrez Murillo Marcos Augusto Moraes Arcoverde Luciano de Andrade Oscar Kenji Nihei |
| author_facet | Gustavo Cezar Wagner Leandro Laiz Mangini Cicchelero Miyoko Massago Daiane Glaucia de Oliveira Dayse Mara Bortoli Roberth Steven Gutiérrez Murillo Marcos Augusto Moraes Arcoverde Luciano de Andrade Oscar Kenji Nihei |
| author_sort | Gustavo Cezar Wagner Leandro |
| collection | DOAJ |
| description | Abstract Objective To evaluate quality of acute respiratory infection reporting in Brazil, 2009-2021, and to analyze association with contextual factors, the COVID-19 pandemic and death as the clinical outcome. Methods Cross-sectional study of quality of completeness and timeliness of reporting held on the Influenza Epidemiological Surveillance System, via OpenDATASUS, based on Centers for Disease Control and Prevention guidelines. Pearson’s chi-square test was applied to compare sociodemographic and geographic factors, Bayesian structural time series were used to measure the impact of the COVID-19 pandemic and logistic regression was used to analyze association with the clinical outcome, using odds ratios (OR) and 95% confidence intervals (95% CI). Results Among the 3,401,881 reports, 53.6% had high completeness, ranging from 71.3% in the South to 37.3% in the Northeast. The surveillance stages with least timeliness were case identification (13.0%), sample collection (28.2%) and data entry (43.5%). During the COVID-19 pandemic, completeness reduced by 34.8%, mainly among sociodemographic (35.9%) and signs and symptoms (28.5%) variables. Completeness of signs and symptoms variables (OR 0.56; 95%CI 0.55; 0.56) and hospital care variables (OR 0.91; 95%CI 0.90; 0.92), as well as timely communication (OR 0.72; 95%CI 0.71; 0.72), sample collection (OR 0.90; 95%CI 0.89; 0.90) and data entry (OR 0.91; 95%CI 0.90; 0.92), was associated with lower odds of death. Conclusion This study demonstrated that completeness and timeliness of acute respiratory infection epidemiological surveillance actions has regional inequalities, with effects on filling out records during the COVID-19 pandemic and associations with clinical outcomes. |
| format | Article |
| id | doaj-art-2b60583d7e934da784b9efe8d1d2e5fa |
| institution | DOAJ |
| issn | 2237-9622 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Ministério da Saúde do Brasil |
| record_format | Article |
| series | Epidemiologia e Serviços de Saúde |
| spelling | doaj-art-2b60583d7e934da784b9efe8d1d2e5fa2025-08-20T03:11:32ZengMinistério da Saúde do BrasilEpidemiologia e Serviços de Saúde2237-96222025-05-013410.1590/s2237-9622025v34e20240555.enEvaluation of the acute respiratory infections surveillance system and associated factors: a cross-sectional study, Brazil, 2009-2021Gustavo Cezar Wagner Leandrohttps://orcid.org/0000-0002-5014-2387Laiz Mangini Cicchelerohttps://orcid.org/0000-0002-7068-9224Miyoko Massagohttps://orcid.org/0000-0001-6805-5399Daiane Glaucia de Oliveirahttps://orcid.org/0009-0003-2601-1170Dayse Mara Bortolihttps://orcid.org/0000-0003-2304-3241Roberth Steven Gutiérrez Murillohttps://orcid.org/0000-0001-5104-559XMarcos Augusto Moraes Arcoverdehttps://orcid.org/0000-0003-2077-1518Luciano de Andradehttps://orcid.org/0000-0002-9156-7787Oscar Kenji Niheihttps://orcid.org/0000-0002-2836-8806Abstract Objective To evaluate quality of acute respiratory infection reporting in Brazil, 2009-2021, and to analyze association with contextual factors, the COVID-19 pandemic and death as the clinical outcome. Methods Cross-sectional study of quality of completeness and timeliness of reporting held on the Influenza Epidemiological Surveillance System, via OpenDATASUS, based on Centers for Disease Control and Prevention guidelines. Pearson’s chi-square test was applied to compare sociodemographic and geographic factors, Bayesian structural time series were used to measure the impact of the COVID-19 pandemic and logistic regression was used to analyze association with the clinical outcome, using odds ratios (OR) and 95% confidence intervals (95% CI). Results Among the 3,401,881 reports, 53.6% had high completeness, ranging from 71.3% in the South to 37.3% in the Northeast. The surveillance stages with least timeliness were case identification (13.0%), sample collection (28.2%) and data entry (43.5%). During the COVID-19 pandemic, completeness reduced by 34.8%, mainly among sociodemographic (35.9%) and signs and symptoms (28.5%) variables. Completeness of signs and symptoms variables (OR 0.56; 95%CI 0.55; 0.56) and hospital care variables (OR 0.91; 95%CI 0.90; 0.92), as well as timely communication (OR 0.72; 95%CI 0.71; 0.72), sample collection (OR 0.90; 95%CI 0.89; 0.90) and data entry (OR 0.91; 95%CI 0.90; 0.92), was associated with lower odds of death. Conclusion This study demonstrated that completeness and timeliness of acute respiratory infection epidemiological surveillance actions has regional inequalities, with effects on filling out records during the COVID-19 pandemic and associations with clinical outcomes.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2237-96222025000100224&lng=en&tlng=enRespiratory Tract InfectionsData AccuracyHealth Surveillance SystemInterrupted Time Series AnalysisEvaluation Study |
| spellingShingle | Gustavo Cezar Wagner Leandro Laiz Mangini Cicchelero Miyoko Massago Daiane Glaucia de Oliveira Dayse Mara Bortoli Roberth Steven Gutiérrez Murillo Marcos Augusto Moraes Arcoverde Luciano de Andrade Oscar Kenji Nihei Evaluation of the acute respiratory infections surveillance system and associated factors: a cross-sectional study, Brazil, 2009-2021 Epidemiologia e Serviços de Saúde Respiratory Tract Infections Data Accuracy Health Surveillance System Interrupted Time Series Analysis Evaluation Study |
| title | Evaluation of the acute respiratory infections surveillance system and associated factors: a cross-sectional study, Brazil, 2009-2021 |
| title_full | Evaluation of the acute respiratory infections surveillance system and associated factors: a cross-sectional study, Brazil, 2009-2021 |
| title_fullStr | Evaluation of the acute respiratory infections surveillance system and associated factors: a cross-sectional study, Brazil, 2009-2021 |
| title_full_unstemmed | Evaluation of the acute respiratory infections surveillance system and associated factors: a cross-sectional study, Brazil, 2009-2021 |
| title_short | Evaluation of the acute respiratory infections surveillance system and associated factors: a cross-sectional study, Brazil, 2009-2021 |
| title_sort | evaluation of the acute respiratory infections surveillance system and associated factors a cross sectional study brazil 2009 2021 |
| topic | Respiratory Tract Infections Data Accuracy Health Surveillance System Interrupted Time Series Analysis Evaluation Study |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2237-96222025000100224&lng=en&tlng=en |
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