4.6 Article

20 Years Spatial-Temporal Analysis of Dengue Fever and Hemorrhagic Fever in Mexico

期刊

ARCHIVES OF MEDICAL RESEARCH
卷 48, 期 7, 页码 653-662

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.arcmed.2018.01.003

关键词

Dengue fever; Space-time scan statistics; Rainfall; Mexico

资金

  1. CONACYT Post Doctoral Fellowship

向作者/读者索取更多资源

Background and Aim. Dengue Fever (DF) is a human vector-borne disease and a major public health problem worldwide. In Mexico, DF and Dengue Hemorrhagic Fever (DHF) cases have increased in recent years. The aim of this study was to identify variations in the spatial distribution of DF and DHF cases over time using space-time statistical analysis and geographic information systems. Methods. Official data of DF and DHF cases were obtained in 32 states from 1995-2015. Space-time scan statistics were used to determine the space-time clusters of DF and DHF cases nationwide, and a geographic information system was used to display the location of clusters. Results. A total of 885,748 DF cases was registered of which 13.4% (n = 119,174) correspond to DHF in the 32 states from 1995-2015. The most likely cluster of DF (relative risk = 25.5) contained the states of Jalisco, Colima, and Nayarit, on the Pacific coast in 2009, and the most likely cluster of DHF (relative risk = 8.5) was in the states of Chiapas, Tabasco, Campeche, Oaxaca, Veracruz, Quintana Roo, Yucatan, Puebla, Morelos, and Guerrero principally on the Gulf coast over 2006-2015. Conclusion. The geographic distribution of DF and DHF cases has increased in recent years and cases are significantly clustered in two coastal areas (Pacific and Gulf of Mexico). This provides the basis for further investigation of risk factors as well as interventions in specific areas. (C) 2018 IMSS. Published by Elsevier Inc.

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