Main Article Content

Authors

Objective: To describe the spatial and temporal distribution of major birth defects and to identify clusters at spatial, temporal and space-temporal levels.
Methods: A descriptive study was developed about the space and time distribution of defects registered in Cali between March 2004 and October 2008 using principles of spatial statistics, namely the spatial data exploratory analysis.
Results: Higher case density and prevalence was observed among neighborhoods of eastern Cali. Three districts («communes») of the 21 in the city showed a larger probability (50 to 100% larger) of major birth defects. Significant clusters (p<0.05) were proven in spatial, temporal and space-temporal analysis.
Conclusions: Birth defects were confirmed clustered in several communes at the poorest areas of the city. Occurrence of defects in this area may be associated, at least in part, to social and environmental inequities.

Honein M, Kirby R, Meyer R, Xing J, Skerrette N, Yuskiv N,e t a l. The association between major birth defects and pretermbirth. Matern Child Healt J. 2009; 13: 164-75.2.Fernández N, Zarante I. Prevalencia y escala pronóstico paramalformaciones congénitas en Colombia: La responsabilidadde pediatras y neonatólogos. Registro de 54.397 nacimientos.Rev Soc Colomb NeonatolUCIN. 2007; 7: 28-32.3.Instituto Geográfico Agustín Codazzi. Atlas de salud. B o g o t á :Imprenta Nacional de Colombia; 2008.4.Eurocat Working Group. Surveillance of congenital anomalies1980-1988. Eurocat Report N° 4. Brussels: Department ofEpidemiology, Catholic University of Louvain; 1991.5.Bermejo E, Cuevas L, Mendioroz J, Martínez Frías ML.Vigilancia epidemiológica de anomalías congénitas en Espa-ña, en los últimos 24 años. Rev Dismorfol Epidemiol. 2004; 5:57-82.6.Castilla E, Orioli I. The Latin-American Collaborative Studyof Congenital Malformations (ECLAMC). Community Genet.2004; 7: 76-94.7.Castilla EE, Orioli IM. Estudio Colaborativo Latinoamerica-no de Anomalías Congénitas (ECLAMC/MONITOR).Interciencia. 1983; 3: 271-8.8.López-Camelo SJ, Orioli IM.Heterogeneous rates for birthdefects in Latin America: hints of causality. Genet Epidemiol.1996; 13: 469-81.9. Zarante I, Castillo MC, García N, Suárez F, Gutiérrez CA,Umaña A. Análisis clínico epidemiológico de factores asocia-dos a malformaciones congénitas ECLAMC-Hospital SanIgnacio, junio-diciembre de 2001.Vniversitas Med. 2002;43:121-7.10. Pachajoa H, Saldarriaga W, Isaza C. Gastrosquisis en unhospital de tercer nivel de la ciudad de Cali, Colombia duranteel período marzo 2004 a febrero 2006. Colomb Med. 2008; 39:35-40.11. Castilla EE, Mastroiacovo P, López-Camelo JS, SaldarriagaW, Isaza C, Orioli IM. Sirenomelia and cyclopia cluster inCali, Colombia. Am J Genet A. 2008; 146A: 2626-36.12. Orioli IM, Mastroiacovo P, López-Camelo JS, Saldarriaga W,Isaza C, Aiello H, et al. Cluster of sirenomelia in South

Colombia Médica Vol. 42 Nº 1, 2011 (Enero-Marzo)America. Birth Defects Res A Clin Mol Teratol. 2009; 85: 112-18.13. Ministério da Saúde do Brazil, Fundação Oswaldo Cruz.Série: Capacitação e actualização em geoprocessamento emsaúde. Abordagens espaciais na saúde pública. Vol 1. Brasi-lia: Ministério da Saúde; 2006.14. Pinto P. Malformaciones congénitas. Bogotá: EdicionesUninorte; 1998.15. Anselin L. The future of spatial analysis in the social sciences.Ann GIS. 1999; 5: 67-76.16. Ministério da Saúde do Brazil, Fundação Oswaldo Cruz.Série: Capacitação e actualização em geoprocessamento emsaúde. Introdução à estadística espacial para a saúde públi-ca. Vol 3. Brasilia: Ministério da Saúde; 2007.17. ArcGis. Versión 9.3.1. ESRI. 2009.18. Chasco C. Análisis estadístico de data geográficos engeomarketing: el programa GeoDa. Revista Distribución yConsumo. 2006: 131; 35-45.19. Organización Panamericana de la Salud. Sigepi manual deusuario. [Manual in internet]. versión 1.23. 2003 [date ofaccess 25 June 2007]. Available in: http://ais.paho.org/sigepi/index.asp?xml=sigepi/soporte.htm20. Anselin L. Exploring spatial data with GeoDa: A workbook.[Manual in internet]. Illinois: 2005 [date of access 14 July2008] Available in: http://sal.uiuc.edu/21. Sigepi. Versión 1.0. Organización Panamericana de la Salud.Ginebra: OPS/OMS; 2004.22. Kulldorff M. SaTScan User Guide. [Manual in internet]. 2009[date of access 23 May 2009] Available in http://www.satscan.org/23. Satscan. Versión 8.0. Kulldorff M. Harvard Medical SchoolInformation Management Services Inc. 2004.24. Colorado Department of Public Health and Environment.Analysis of birth defect data in the vicinity of the redfieldplume area in the southeast Denver County: 1989-1999.Denver; 2002.25. Barten F, Flores W, Hardoy A (eds). La inequidad en salud:Hacia un abordaje integral. Buenos Aires: IIED-AméricaLatina Publicaciones; 2008.26. Alcaldía de Santiago de Cali. Agenda ambiental comuna 13.Cali: Departamento Administrativo de Gestión y ManejoAmbiental (Dagma); 2003.27. Alcaldía de Santiago de Cali. Cali en cifras 2008. Cali:Departamento Administrativo de Planeación; 2008

Cuartas, D. E., Ariza, Y., Pachajoa, H., & Méndez, F. (2024). Analysis of the spatial and temporal distribution of birth defects between 2004-2008 at a third-level hospital in Cali, Colombia*. Colombia Medica, 42(1), 9–16. https://doi.org/10.25100/cm.v42i1.745 (Original work published April 12, 2011)

Downloads

Download data is not yet available.
1 2 > >>