Sensitivity of the Dengue Surveillance System in Brazil for Detecting Hospitalized Cases
- PMID: 27192405
- PMCID: PMC4871568
- DOI: 10.1371/journal.pntd.0004705
Sensitivity of the Dengue Surveillance System in Brazil for Detecting Hospitalized Cases
Abstract
We evaluated the sensitivity of the dengue surveillance system in detecting hospitalized cases in ten capital cities in Brazil from 2008 to 2013 using a probabilistic record linkage of two independent information systems hospitalization (SIH-SUS) adopted as the gold standard and surveillance (SINAN). Sensitivity was defined as the proportion of cases reported to the surveillance system amid the suspected hospitalized cases registered in SIH-SUS. Of the 48,174 hospitalizations registered in SIH-SUS, 24,469 (50.7%) were reported and registered in SINAN, indicating an overall sensitivity of 50.8% (95%CI 50.3-51.2). The observed sensitivity for each of the municipalities included in the study ranged from 22.0% to 99.1%. The combination of the two data sources identified 71,161 hospitalizations, an increase of 97.0% over SINAN itself. Our results allowed establishing the proportion of underreported dengue hospitalizations in the public health system in Brazil, highlighting the use of probabilistic record linkage as a valuable tool for evaluating surveillance systems.
Conflict of interest statement
The authors have declared that no competing interests exist.
Figures


Similar articles
-
[Data quality of dengue epidemiological surveillance in Belo Horizonte, Southeastern Brazil].Rev Saude Publica. 2006 Feb;40(1):134-42. doi: 10.1590/s0034-89102006000100021. Epub 2006 Jan 4. Rev Saude Publica. 2006. PMID: 16410994 Portuguese.
-
Epidemiological Impact and Hospitalization costs applied to dengue in the Midwest region of Minas Gerais state, Brazil, from SUS perspective.J Vector Borne Dis. 2020 Oct-Dec;57(4):331-340. doi: 10.4103/0972-9062.325642. J Vector Borne Dis. 2020. PMID: 34856713
-
Profile of hospitalization and death records associated to dengue and severe dengue in Minas Gerais between 2000 and 2015 from the Brazilian Public Health System perspective.J Vector Borne Dis. 2021 Jan-Mar;58(1):54-62. doi: 10.4103/0972-9062.321738. J Vector Borne Dis. 2021. PMID: 34818864
-
Validation study of obstetric hospitalization data held on the Brazilian National Health System Hospital Information System for maternal morbidity surveillance: Brazil, 2021-2022.Epidemiol Serv Saude. 2024 Jul 29;33:e20231252. doi: 10.1590/S2237-96222024v33e20231252.en. eCollection 2024. Epidemiol Serv Saude. 2024. PMID: 39082584 Free PMC article.
-
Dengue in Rio Grande do Sul, Brazil: 2014 to 2016.Rev Med Virol. 2018 Jan;28(1). doi: 10.1002/rmv.1960. Epub 2017 Dec 6. Rev Med Virol. 2018. PMID: 29210497 Review.
Cited by
-
Effectiveness of an intervention for Aedes aegypti control scaled-up under an inter-sectoral approach in a Colombian city hyper-endemic for dengue virus.PLoS One. 2020 Apr 1;15(4):e0230486. doi: 10.1371/journal.pone.0230486. eCollection 2020. PLoS One. 2020. PMID: 32236142 Free PMC article.
-
Dengue Infection in Children in Fortaleza, Brazil: A 3-Year School-Based Prospective Cohort Study.Am J Trop Med Hyg. 2020 Jul;103(1):100-111. doi: 10.4269/ajtmh.19-0521. Epub 2020 Apr 23. Am J Trop Med Hyg. 2020. PMID: 32342838 Free PMC article.
-
A machine learning model to assess potential misdiagnosed dengue hospitalization.Heliyon. 2023 May 30;9(6):e16634. doi: 10.1016/j.heliyon.2023.e16634. eCollection 2023 Jun. Heliyon. 2023. PMID: 37313173 Free PMC article.
-
Improving Dengue Forecasts by Using Geospatial Big Data Analysis in Google Earth Engine and the Historical Dengue Information-Aided Long Short Term Memory Modeling.Biology (Basel). 2022 Jan 21;11(2):169. doi: 10.3390/biology11020169. Biology (Basel). 2022. PMID: 35205036 Free PMC article.
-
A Privacy-Preserved Internet-of-Medical-Things Scheme for Eradication and Control of Dengue Using UAV.Micromachines (Basel). 2022 Oct 10;13(10):1702. doi: 10.3390/mi13101702. Micromachines (Basel). 2022. PMID: 36296055 Free PMC article.
References
-
- Guzman MG, Harris E (2014) Dengue. Lancet 6736: 1–13. Available: 10.1016/S0140-6736(14)60572-9. Accessed 17 September 2014. - DOI
-
- World Health Organization (2012) Global Strategy for Dengue Prevention and Control 2012–2020 1st ed. World Health Organization, editor Geneva: 35 p. Available: www.who.int.
-
- Brasil. Ministério da Saude. Secretaria de Vigilância em Saúde. (2013) Doenças com potencial epidêmico no Brasil, de 2000 a 2009–2013. Saude Brasil, 2012. Uma análise da situação de saude e dos 40 anos do Programa Nacional de Imunizações. Brasilia. pp. 187–212. Available: http://bvsms.saude.gov.br/bvs/publicacoes/saude_brasil_2012.pdf.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical