Characterization of Colombian departments based on climatic factors, infrastructure, basic service access, and dengue incidence rate
Abstract
Introduction. Dengue is an endemic disease in Colombia, with spatial variations influenced by climatic, socioeconomic, and basic service access factors. Territorial characterization based on these determinants supports a better understanding of disease distribution and enables the design of more effective control strategies.
Objectives. To identify groups of departments in Colombia based on the relationship between dengue incidence rates and climatic, socioeconomic, and basic service access factors in 2023.
Materials and methods. Data were collected from the Instituto Nacional de Salud of Colombia, the Encuesta Nacional de Calidad de Vida, and satellite sources, such as ERA5 and CHIRPS. Variables related to access to basic services (drinking water, sewage, and waste collection), housing deficit, temperature, precipitation, and the normalized difference vegetation index (NDVI) were analyzed. A multiple factor analysis was applied to reduce dimensionality, followed by hierarchical clustering and self-organizing maps to identify department groupings.
Results. Three groups of departments with distinct characteristics were identified. The most vulnerable group (group 3) showed an average incidence rate of 1,046.87 cases per 100,000 inhabitants, associated with extreme housing deficits, limited access to basic services, and climatic conditions favorable for vector proliferation.
Conclusions. The analysis identified key territorial patterns in dengue incidence and highlighted the influence of structural factors on disease transmission. These findings provide a foundation to strengthen public policies and design more targeted prevention and control strategies in the most vulnerable regions.
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References
World Bank Group. Climate risk country profile: Colombia. Accessed: June 12, 2025. Available at: https://climateknowledgeportal.worldbank.org/sites/default/files/2021-07/15520-WB_Colombia%20Country%20Profile-WEB%20%283%29.pdf
Organización Mundial de la Salud. Dengue y dengue grave. Accessed: October 15, 2024. Available at: https://www.who.int/es/news-room/fact-sheets/detail/dengue-and-severe-dengue
Alphey N, Alphey L, Bonsall MB. A model framework to estimate impact and cost of genetics-based sterile insect methods for dengue vector control. PLOS ONE. 2011;6:e25384. https://doi.org/10.1371/journal.pone.0025384
Organización Panamericana de la Salud. PLISA: Plataforma de información en salud para las Américas. Accessed: October 11, 2024. Available at: https://www.paho.org/data/index.php/es/
Alvarado R, Nieto E. Factores socioeconómicos y ambientales asociados a la incidencia de dengue: estudio ecológico en Costa Rica, 2016. Rev Costarric Salud Pública. 2019;28:227-38.
Salim KU, Álvarez FS, Chan-Golston AM, Naughton CC, Cisneros R, Joyce A. Socioeconomic and environmental factors associated with dengue fever incidence in Guatemala: Rising temperatures increase dengue risk. PLOS ONE. 2024;19:e0308271. https://doi.org/10.1371/journal.pone.0308271
Meza-Ballesta A, Gónima L. Influencia del clima y de la cobertura vegetal en la ocurrencia del dengue (2001-2010). Rev Salud Pública. 2014;16:293-306. https://doi.org/10.15446/rsap.v16n2.38146
Vanlerberghe V, Verdonck K. La inequidad en salud: el caso del dengue. Rev Peru Med Exp Salud Pública. 2013;30:683-6.
Montoya-Rojas M, Noguera-David D, Fuertes-Bucheli JF, Pacheco-López R. Influencia de la variabilidad climática en la incidencia del dengue en Palmira, Colombia (2010-2015). Rev Univ Salud. 2021;24:e339. https://doi.org/10.22267/rus.252701.339
Rúa-Uribe GL, Suárez-Acosta C, Chauca J, Ventosilla P, Almanza R. Modelado del efecto de la variabilidad climática local sobre la transmisión de dengue en Medellín (Colombia) mediante análisis de series temporales. Biomédica. 2013;33:142-52. https://doi.org/10.7705/biomedica.v33i0.1444
Morgan J, Strode C, Salcedo-Sora JE. Climatic and socio-economic factors supporting the co-circulation of dengue, Zika and chikungunya in three different ecosystems in Colombia. PLoS Negl Trop Dis. 2021;15: e0009259. https://doi.org/10.1371/journal.pntd.0009259
Orlando-López L, Valencia N, Bustamante S, Díaz V. Factores que influyen en la incidencia del dengue en poblaciones vulnerables en Sudamérica. Accessed: June 12, 2025. Available at: https://www.polodelconocimiento.com/ojs/index.php/es/article/view/9180/pdf
Valencia-Jiménez NN, Ortega-Montes JE, Cordero-Valencia A. Relación de los conocimientos, prácticas y participación en la prevención del dengue con los factores individuales y del contexto en el departamento de Córdoba, Colombia. Salud UIS. 2024;56:e24014. https://doi.org/10.18273/saluduis.56.e:24014
Bustamante Macea S, Payares Maduro A. Facilitadores y barreras en la prevención del dengue percibidos por líderes comunitarios de la comuna seis de Montería, 2021. Accessed: June 12, 2025. Available at: https://repositorio.unicordoba.edu.co/entities/publication/6cf6ad91-78ca-4dcf-a56e-a01092ec0953
Giles Álvarez L, Larrahondo C, Hernández M, Muñoz-Mora JC, Angulo GD, Quintero LM. Desigualdades territoriales en Colombia: realidades y perspectivas. Washington, D.C.: BID; 2024. https://doi.org/10.18235/0013019
Instituto Nacional de Salud. Dengue cases dashboard 2023. Accessed: October 15, 2024. Available at: https://www.ins.gov.co/buscador-eventos/Paginas/Info-Evento.aspx
Departamento Administrativo Nacional de Estadística. Encuesta Nacional de Calidad de Vida (ECV) 2023. Accessed: October 15, 2024. Available at: https://www.dane.gov.co
Zellweger RM, Cano J, Mangeas M, Taglioni F, Mercier A, Despinoy M, et al. Socioeconomic and environmental determinants of dengue transmission in an urban setting: An ecological study in Nouméa, New Caledonia. PLoS Negl Trop Dis. 2017;11:e0005471. https://doi.org/10.1371/journal.pntd.0005471
Dickens BL, Sun H, Jit M, Cook AR, Carrasco LR. Determining environmental and anthropogenic factors which explain the global distribution of Aedes aegypti and Ae. albopictus. BMJ Glob Health. 2018;3:e000801. https://doi.org/10.1136/bmjgh-2018-000801
Reinhold JM, Lazzari CR, Lahondère C. Effects of the environmental temperature on Aedes aegypti and Aedes albopictus mosquitoes: A review. Insects. 2018;9:158. https://doi.org/10.3390/insects9040158
Laporta GZ, Potter AM, Oliveira JF, Bourke BP, Pecor DB, Linton YM. Global distribution of Aedes aegypti and Aedes albopictus in a climate change scenario of regional rivalry. Insects. 2023;14:49. https://doi.org/10.3390/insects14010049
Copernicus Climate Change Service (C3S). ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate. Accessed: October 15, 2024. Available at: https://cds.climate.copernicus.eu/
Climate Hazards Group. CHIRPS: Climate Hazards Group Infrared Precipitation with Station Data. Accessed: October 15, 2024. Available at: https://www.chc.ucsb.edu/data/chirps
National Centers for Environmental Information (NCEI). Land Normalized Difference Vegetation Index (NDVI). Accessed: October 15, 2024. Available at: https://www.ncei.noaa.gov
Hijmans RJ. Geodata: Download data for ‘ecological’ analysis. R package, version 0.6.2,; 2024. Accessed: October 15, 2024. Available at: https://cran.r-project.org/package=geodata
Ochoa-Muñoz AF, Contreras-Reyes JE. Multiple factor analysis based on NIPALS algorithm to solve missing data problems. Algorithms. 2023;16:457. https://doi.org/10.3390/a16100457
Lê S, Josse J, Husson F. FactoMineR: A package for multivariate analysis. J Stat Softw. 2008;25:1-18. https://doi.org/10.18637/jss.v025.i01
Kohonen T. The self-organizing map. Proceedings of the IEEE. 1990;78:1464-80. https://doi.org/10.1109/5.58325
Carpio Martín D. Mapas autoorganizados (self-organizing maps) (tesis). Valladolid: Universidad de Valladolid; 2020. Accessed: October 15, 2024. Available at: http://uvadoc.uva.es/handle/10324/43792
Instituto de Hidrología, Meteorología y Estudios Ambientales. Climatological atlas of Colombia. Accessed: December 26, 2024. Available at: https://www.ideam.gov.co/AtlasWeb/
Superintendencia de Industria y Comercio. Estudio de tendencias y retos en la Región Andina. Accessed: December 5, 2024. Available at: https://www.sic.gov.co/sites/default/files/files/2021/TE_Region%20andina.pdf
Departamento Administrativo Nacional de Estadística. Regiones geográficas - Atlas estadístico de Colombia. Accessed: December 5, 2024. Available at: https://geoportal.dane.gov.co/servicios/atlas-estadistico/
Concejo Municipal de Quibdó, Secretaría General. Plan de Desarrollo 2016-2019: Quibdó Aprobado – Ruta que seguimos avanzando hacia la paz. Accessed: December 6, 2024. Available at: https://accionclimatica.minambiente.gov.co/download/plan-de-desarrollo-2016-2019-quibdo-aprobado/
Kenneson A, Beltrán-Ayala E, Borbor-Córdova MJ, Polhemus ME, Ryan SJ, Endy TP, et al. Social-ecological factors and preventive actions decrease the risk of dengue infection at the household-level: Results from a prospective dengue surveillance study in Machala, Ecuador. PLoS Negl Trop Dis. 2017;11:e0006150. https://doi.org/10.1371/journal.pntd.0006150
Schmidt WP, Suzuki M, Thiem V, White RG, Tsuzuki A, Yoshida LM, et al. Population density, water supply, and the risk of dengue fever in Vietnam: Cohort study and spatial analysis. PLoS Med. 2011;8: e1001082. https://doi.org/10.1371/journal.pmed.1001082
Gibb R, Colón-González FJ, Lan PT, Huong PT, Nam VS, Duoc VT, et al. Interactions between climate change, urban infrastructure and mobility are driving dengue emergence in Vietnam. Nat Commun. 2023;14:8179. https://doi.org/10.1038/s41467-023-43954-0
Overgaard H, Alexander N, Jaramillo JF, Olano VA, Vargas S, Sarmiento D, et al. Control de diarrea y dengue en escuelas primarias rurales de Colombia: protocolo de estudio para un ensayo aleatorio y controlado por conglomerados. Rev Salud Bosque. 2014;4:23-35. https://doi.org/10.18270/rsb.v4i1.34
Ortiz DI, Piche-Ovares M, Romero-Vega LM, Wagman J, Troyo A. The impact of deforestation, urbanization, and changing land use patterns on the ecology of mosquito and tick-borne diseases in Central America. Insects. 2022;13:20. https://doi.org/10.3390/insects13010020
ACAPS. Dengue y fiebre amarilla en Putumayo - Colombia: evaluación temática. Accessed: June 15, 2025. Available at: https://www.acaps.org/fileadmin/Data_Product/Additional_resources/20250324_ACAPS_Thematic_report_Colombia___Dengue_and_yellow_fever_in_Putumayo__Translation.pdf
Perdomo-Balaguera EA. Factores climáticos y socioeconómicos relacionados con la incidencia del dengue en el departamento del Magdalena (thesis). Santa Marta: Universidad del Magdalena; 2024. Accessed: December 6, 2024. Available at: https://repositorio.unimagdalena.edu.co/items/3e24dc9e-670d-40d9-99ce-95fcf48ca2a9
Rey-Ardmirola G, García-Morales JP. Incidencia de dengue y su relación con indicadores sociodemográficos y ambientales durante la implementación de la estrategia Wolbachia en las comunas de Medellín: estudio ecológico exploratorio 2018-2020 (thesis). Medellín: Universidad de Antioquia; 2023. Accessed: December 6, 2024. Available at: https://bibliotecadigital.udea.edu.co/entities/publication/29846c02-9079-45d1-bc74-fa8dcab22aa3
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