Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Assessing the reporting of Dengue, Chikungunya and Zika to the National Surveillance System in Colombia from 2014-2017: A Capture-recapture analysis accounting for misclassification of arboviral diagnostics.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Additional Information
    • Source:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101291488 Publication Model: eCollection Cited Medium: Internet ISSN: 1935-2735 (Electronic) Linking ISSN: 19352727 NLM ISO Abbreviation: PLoS Negl Trop Dis Subsets: MEDLINE
    • Publication Information:
      Original Publication: San Francisco, CA : Public Library of Science
    • Subject Terms:
    • Abstract:
      Background: Chikungunya, dengue, and Zika are three different arboviruses which have similar symptoms and are a major public health issue in Colombia. Despite the mandatory reporting of these arboviruses to the National Surveillance System in Colombia (SIVIGILA), it has been reported that the system captures less than 10% of diagnosed cases in some cities.
      Methodology/principal Findings: To assess the scope and degree of arboviruses reporting in Colombia between 2014-2017, we conducted an observational study of surveillance data using the capture-recapture approach in three Colombian cities. Using healthcare facility registries (capture data) and surveillance-notified cases (recapture data), we estimated the degree of reporting by clinical diagnosis. We fit robust Poisson regressions to identify predictors of reporting and estimated the predicted probability of reporting by disease and year. To account for the potential misclassification of the clinical diagnosis, we used the simulation extrapolation for misclassification (MC-SIMEX) method. A total of 266,549 registries were examined. Overall arboviruses' reporting ranged from 5.3% to 14.7% and varied in magnitude according to age and year of diagnosis. Dengue was the most notified disease (21-70%) followed by Zika (6-45%). The highest reporting rate was seen in 2016, an epidemic year. The MC-SIMEX corrected rates indicated underestimation of the reporting due to the potential misclassification bias.
      Conclusions: These findings reflect challenges on arboviruses' reporting, and therefore, potential challenges on the estimation of arboviral burden in Colombia and other endemic settings with similar surveillance systems.
      Competing Interests: The authors have declared that no competing interests exist.
    • References:
      Biomedica. 2015 Oct 26;36(0):35-43. (PMID: 27622791)
      Biomedica. 2004 Jun;24(2):174-82. (PMID: 15495597)
      Rev Saude Publica. 2014 Dec;48(6):899-905. (PMID: 26039392)
      Epidemiol Infect. 2012 Mar;140(3):491-9. (PMID: 21733251)
      Arch Pathol Lab Med. 2017 Jan;141(1):26-32. (PMID: 27636525)
      Emerg Infect Dis. 2019 Jul;25(7):1394-1396. (PMID: 31008703)
      PLoS Negl Trop Dis. 2016 Jan 11;10(1):e0004281. (PMID: 26752630)
      Acta Trop. 2017 Feb;166:155-163. (PMID: 27876643)
      Am J Epidemiol. 2004 Apr 1;159(7):702-6. (PMID: 15033648)
      J Clin Epidemiol. 2015 Apr;68(4):470-4. (PMID: 25662008)
      Biometrics. 2006 Mar;62(1):85-96. (PMID: 16542233)
      Ann N Y Acad Sci. 2009 Sep;1171 Suppl 1:E48-56. (PMID: 19751402)
      PLoS Negl Trop Dis. 2013;7(2):e2056. (PMID: 23437407)
      Vaccine. 2018 Feb 8;36(7):979-985. (PMID: 29331246)
      J Clin Virol. 2015 Aug;69:27-9. (PMID: 26209372)
      N Engl J Med. 2020 Aug 6;383(6):e44. (PMID: 27305043)
      Travel Med Infect Dis. 2016 May-Jun;14(3):177-9. (PMID: 27224471)
      J Infect Dis. 2017 Mar 1;215(suppl_2):S89-S95. (PMID: 28403441)
      Epidemiology. 2010 Nov;21(6):855-62. (PMID: 20844438)
      Emerg Infect Dis. 2019 Jun;25(6):1118-1126. (PMID: 31107226)
      PLoS Negl Trop Dis. 2018 Aug 6;12(8):e0006650. (PMID: 30080848)
      PLoS One. 2017 Jun 26;12(6):e0179725. (PMID: 28650987)
      BMC Infect Dis. 2018 Jan 30;18(1):61. (PMID: 29382300)
      Public Health. 2018 Jan;154:130-135. (PMID: 29241098)
      PLoS Negl Trop Dis. 2017 Oct 30;11(10):e0006037. (PMID: 29084220)
      Trans R Soc Trop Med Hyg. 2015 Dec;109(12):793-802. (PMID: 26626342)
      J Neurol Sci. 2017 Oct 15;381:272-277. (PMID: 28991697)
      Emerg Infect Dis. 2017 Apr;23(4):677-679. (PMID: 28117032)
      Epidemiol Infect. 2019 Jan;147:e77. (PMID: 30869010)
      PLoS Negl Trop Dis. 2015 Mar 19;9(3):e0003499. (PMID: 25790245)
      Epidemiology. 1995 Jan;6(1):42-8. (PMID: 7888444)
      Am J Public Health. 2016 Apr;106(4):606-12. (PMID: 26959260)
      J Infect Dis. 2016 Dec 15;214(suppl 5):S441-S445. (PMID: 27920170)
      Am J Trop Med Hyg. 2016 May 4;94(5):1085-1089. (PMID: 26976885)
      PLoS Negl Trop Dis. 2017 Nov 1;11(11):e0006007. (PMID: 29091713)
      J Infect Dis. 2016 Dec 15;214(suppl 5):S475-S481. (PMID: 27920177)
      J Infect Dis. 2017 Jun 15;215(12):1816-1823. (PMID: 28863466)
      Rev Panam Salud Publica. 2019 Jun 07;43:e49. (PMID: 31171921)
      Theor Biol Med Model. 2017 Dec 12;14(1):23. (PMID: 29228966)
      Lancet Infect Dis. 2016 Aug;16(8):935-41. (PMID: 27091092)
      Emerg Infect Dis. 2016 Feb;22(2):336-9. (PMID: 26812472)
      Am J Trop Med Hyg. 2012 Nov;87(5):796-805. (PMID: 23033404)
      J Family Med Prim Care. 2019 Mar;8(3):1022-1027. (PMID: 31041245)
      J Trop Med. 2014;2014:872608. (PMID: 24987421)
      Soc Sci Med. 2005 Jul;61(2):495-502. (PMID: 15893062)
      Proc Natl Acad Sci U S A. 2006 Aug 1;103(31):11802-7. (PMID: 16868086)
    • Grant Information:
      Canada CIHR
    • Publication Date:
      Date Created: 20210204 Date Completed: 20210621 Latest Revision: 20210621
    • Publication Date:
      20240105
    • Accession Number:
      PMC7888590
    • Accession Number:
      10.1371/journal.pntd.0009014
    • Accession Number:
      33539393