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Reference Manager
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Surveillance and Epidemiology of Dengue in Medellín, Colombia from 2009 to 2017
Colin M. Warnes
Colin M. Warnes
Programa de Estudio y Control de Enfermedades Tropicales (PECET), Universidad de Antioquia, Medellín, Colombia;
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Eduardo Santacruz-Sanmartín
Eduardo Santacruz-Sanmartín
Programa de Estudio y Control de Enfermedades Tropicales (PECET), Universidad de Antioquia, Medellín, Colombia;
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Fausto Bustos Carrillo
Fausto Bustos Carrillo
Sustainable Sciences Institute (SSI), San Francisco, California
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Iván Darío Vélez
Iván Darío Vélez
Programa de Estudio y Control de Enfermedades Tropicales (PECET), Universidad de Antioquia, Medellín, Colombia;
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ABSTRACT
Dengue is the most prevalent arthropod-borne viral disease in humans, primarily transmitted by the Aedes aegypti mosquito. We conducted a descriptive analysis of dengue cases from 2009 to 2017 in Medellín, Colombia, using data available from the Secretariat of Health. We analyzed the burden of outbreak years on the healthcare system, risk of cases exhibiting severe illness, potential disease surveillance problems, gender and age as risk factors, and spatiotemporal patterns of disease occurrence. Our data consisted of 50,083 cases, separated based on whether they were diagnostic test negative, diagnostic test positive (primarily IgM ELISA), clinically confirmed, epidemiologically linked, or probable. We used dengue incidence to analyze epidemiological trends between our study years, related to human movement patterns, between gender and age-groups, and spatiotemporally. We used risk to analyze the severity of dengue cases between the study years. We identified human movement could contributed to dengue spread, and male individuals (incidence rate: 0.86; 95% CI: 0.76–0.96) and individuals younger than 15 years (incidence rate: 1.24; 95% CI: 1.13–1.34) have higher incidence of dengue and located critical parts of the city where dengue incidence was high. Analysis was limited by participant diagnostic information, data concerning circulating strains, and a lack of phylogenetic information. Understanding the characteristics of dengue is a fundamental part of improving the health outcomes of at-risk populations. This analysis will be useful to support studies and initiatives to counteract dengue and provide context to the surveillance data collected by the health authorities in Medellín.
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Author Notes
Authors’ addresses: Colin M. Warnes, Eduardo Santacruz-Sanmartín, and Iván Darío Vélez, PECET, School of Medicine, Universidad de Antioquia, Medellin, Colombia, E-mails: cwarnes@brandeis.edu, santacruzsanmartin@gamil.com, and idvelez@pecet-colombia.org. Fausto Bustos Carrillo, Department of Epidemiology, Sustainable Sciences Institute (SSI), San Francisco, CA, E-mail: bustos.fausto@gmail.com.
ProCite
RefWorks
Reference Manager
BibTeX
Zotero
EndNote
-
1.
Bhatt S et al. 2013. The global distribution and burden of dengue. Nature 496: 504–507.
-
2.
Soo KM, Khalid B, Ching SM, Chee HY, 2016. Meta-analysis of dengue severity during infection by different dengue virus serotypes in primary and secondary infections. PLoS One 11: e0154760.
-
3.
Katzelnick LC, Gresh L, Halloran ME, Mercado JC, Kuan G, Gordon A, Balmaseda A, Harris E, 2017. Antibody-dependent enhancement of severe dengue disease in humans. Science 358: 929–932.
-
4.
Messina JP et al. 2019. The current and future global distribution and population at risk of dengue. Nat Microbiol 4: 1508–1515.
-
5.
Plennevaux E et al. 2018. Impact of dengue vaccination on serological diagnosis: insights from phase III dengue vaccine efficacy trials. Clin Infect Dis 66: 1164–1172.
-
6.
Vannice KS et al. 2018. Clinical development and regulatory points for consideration for second-generation live attenuated dengue vaccines. Vaccine 36: 3411–3417.
-
7.
Messina JP, Brady OJ, Pigott DM, Golding N, Kraemer MUG, Scott TW, Wint GRW, Smith DL, Hay SI, 2015. The many projected futures of dengue. Nat Rev Microbiol 13: 230–239.
-
8.
Parreira R, Centeno-Lima S, Lopes A, Portugal-Calisto D, Constantino A, Nina J, 2014. Dengue virus serotype 4 and chikungunya virus coinfection in a traveller returning from Luanda, Angola, January 2014. Euro Surveill 19: 20730.
-
9.
Sharma KD, Mahabir RS, Curtin KM, Sutherland JM, Agard JB, Chadee DD, 2014. Exploratory space-time analysis of dengue incidence in Trinidad: a retrospective study using travel hubs as dispersal points, 1998–2004. Parasit Vectors 7: 341.
-
10.
Nunes MRT et al. 2014. Air travel is associated with intracontinental spread of dengue virus serotypes 1–3 in Brazil. PLoS Negl Trop Dis 8: e2769.
-
11.
Siraj AS, Santos-Vega M, Bouma MJ, Yadeta D, Ruiz Carrascal D, Pascual M, 2014. Altitudinal changes in malaria incidence in highlands of Ethiopia and Colombia. Science 343: 1154–1158.
-
12.
Granger D, Leo YS, Lee LK, Theel ES, 2017. Serodiagnosis of dengue virus infection using commercially available antibody and NS1 antigen ELISAs. Diagn Microbiol Infect Dis 88: 120–124.
-
13.
Dussart P et al. 2006. Evaluation of an enzyme immunoassay for detection of dengue virus NS1 antigen in human serum. Clin Vaccine Immunol 13: 1185–1189.
-
14.
Pal S, Dauner AL, Mitra I, Forshey BM, Garcia P, Morrison AC, Halsey ES, Kochel TJ, Wu SJ, 2014. Evaluation of dengue NS1 antigen rapid tests and ELISA kits using clinical samples. PLoS One 9: e113411.
-
15.
Mansfield KL, Horton DL, Johnson N, Li L, Barrett ADT, Smith DJ, Galbraith SE, Solomon T, Fooks AR, 2011. Flavivirus-induced antibody cross-reactivity. J Gen Virol 92: 2821–2829.
-
16.
Rojas A et al. 2018. Internally controlled, multiplex real-time reverse transcription PCR for dengue virus and yellow fever virus detection. Am J Trop Med Hyg 98: 1833–1836.
-
17.
Sanchez JD, https://www.facebook.com/pahowho. OPS/OMS | Dengue: Información general. Pan American Health Organization/World Health Organization. Available at: https://www.paho.org/hq/index.php?option=com_content&view=article&id=4493:2010-informacion-general-dengue&Itemid=40232&lang=es. Accessed March 21, 2019.
-
18.
Jiménez-Silva CL, Carreño MF, Ortiz-Baez AS, Rey LA, Villabona-Arenas CJ, Ocazionez RE, 2018. Evolutionary history and spatio-temporal dynamics of dengue virus serotypes in an endemic region of Colombia. PLoS One 13: e0203090.
-
19.
Restrepo BN, Beatty ME, Goez Y, Ramirez RE, Letson GW, Diaz FJ, Piedrahita LD, Osorio JE, 2014. Frequency and clinical manifestations of dengue in urban Medellin, Colombia. J Trop Med 2014: 872608.
-
20.
Villar LA, Rojas DP, Besada-Lombana S, Sarti E, 2015. Epidemiological trends of dengue disease in Colombia (2000–2011): a systematic review. PLoS Negl Trop Dis 9: e0003499.
-
21.
World Health Organization, 2018. Disease Outbreaks. SEARO. Available at: http://www.searo.who.int/topics/disease_outbreaks/en/. Accessed December 22, 2018.
-
22.
Dirección Nacional de Estadística (DANE), 2019. Proyecciones de población. Available at: https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/proyecciones-de-poblacion. Accessed March 21, 2019.
-
23.
Vázquez EF, Morollón FR, 2013. Defining the Spatial Scale in Modern Regional Analysis: New Challenges from Data at Local Level. Heidelberg, New York, Dordrecht London: Springer Science & Business Media.
-
24.
Ministerio de Salud y Protección Social de Colombia, 2019. INFORME SITUACION DE DENGUE.pdf. Available at: https://minsalud.gov.co/Documentos%20y%20Publicaciones/INFORME%20SITUACION%20DE%20DENGUE.pdf. Accessed May 4, 2019.
-
25.
Shepard DS, Undurraga EA, Halasa YA, Stanaway JD, 2016. The global economic burden of dengue: a systematic analysis. Lancet Infect Dis 16: 935–941.
-
26.
Lee JS, 2017. A multi-country study of the economic burden of dengue fever: Vietnam, Thailand, and Colombia. PLoS Negl Trop Dis 11: e0006037.
-
27.
Hadinegoro SRS, 2012. The revised WHO dengue case classification: does the system need to be modified? Paediatr Int Child Health 32: 33–38.
-
28.
Moreno HA, Vélez MV, Montoya JD, Rhenals RL, 2006. La Lluvia y los Deslizamientos de tierra en antioquia: análisis de su ocurrencia en las escalas interanual, intraanual y diaria. Rev EIA 2006: 59–69.
-
29.
Ladner J, Rodrigues M, Davis B, Besson MH, Audureau E, Saba J, 2017. Societal impact of dengue outbreaks: stakeholder perceptions and related implications. A qualitative study in Brazil, 2015. PLoS Negl Trop Dis 11: e0005366.
-
30.
Arango AE, Jaramillo S, Perez J, Ampuero JS, Espinal D, Donado J, Felices V, Garcia J, Laguna‐Torres A, 2015. Influenza-like illness sentinel surveillance in one hospital in Medellin, Colombia. 2007–2012. Influenza Other Respir Viruses 9: 1–13.
-
31.
Bowman LR, Runge-Ranzinger S, McCall PJ, 2014. Assessing the relationship between vector indices and dengue transmission: a systematic review of the evidence. PLoS Negl Trop Dis 8: e2848.
-
32.
Wilson ME, Chen LH, 2014. Dengue: update on epidemiology. Curr Infect Dis Rep 17: 457.
-
33.
Tan KK, Zulkifle NI, Abd-Jamil J, Sulaiman S, Yaacob CN, Azizan NS, Che Mat Seri NAA, Samsudin NI, Mahfodz NH, AbuBakar S, 2017. Disruption of predicted dengue virus type 3 major outbreak cycle coincided with switching of the dominant circulating virus genotype. Infect Genet Evol 54: 271–275.
-
34.
Rajarethinam J et al. 2018. Dengue in Singapore from 2004 to 2016: cyclical epidemic patterns dominated by serotypes 1 and 2. Am J Trop Med Hyg 99: 204–210.
-
35.
Low JGH et al. 2011. The early clinical features of dengue in adults: challenges for early clinical diagnosis. PLoS Negl Trop Dis 5: e1191.
-
36.
Beltrán-Silva SL, Chacón-Hernández SS, Moreno-Palacios E, Pereyra-Molina JÁ, 2018. Clinical and differential diagnosis: dengue, chikungunya and Zika. Rev Médica Hosp Gen México 81: 146–153.
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