{"title":"[登革热发病率及其与El Nino海洋指数的关系,作为预测哥伦比亚加勒比地区暴发的一个敏感变量]。","authors":"Alexander Salazar-Ceballos, Lídice Álvarez-Miño","doi":"10.7705/biomedica.7933","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The Lancet Countdown 2023 report for Latin America indicates that rising temperatures influence the transmission of the dengue virus. In Colombia’s Caribbean region, a significant association has been identified between dengue incidence and climatic variables, such as temperature, humidity, and precipitation.</p><p><strong>Objective: </strong>To analyze the relationship between the incidence of dengue and the oceanic Niño index in the departments of the Colombian Caribbean region from 2021 to 2023.</p><p><strong>Materials and methods: </strong>An ecological time series study was conducted using distributed lag non-linear models and autoregressive integrated moving average models in the seven departments of the Caribbean region. Descriptive and autoregressive analyses were performed using JASP and RStudio. Non-linear and lagged analyses were run with the dlnmpackage in RStudio.</p><p><strong>Results: </strong>A positive and significant relationship between the oceanic Niño index and dengue incidence was found for 2023 data, the year when the El Niño - ENSO (El Niño-Southern Oscillation) warm phase occurred. Bolívar, Cesar, Córdoba, and Magdalena departments showed positive correlations. A non-linear relationship between El Niño/La Niña and dengue incidence was also observed, with a higher increase in dengue cases during El Niño events.</p><p><strong>Conclusions: </strong>The oceanic Niño index appears to be a useful climatic indicator for monitoring increases in the monthly dengue incidence rate in the analyzed departments of Colombia’s Caribbean región.</p>","PeriodicalId":101322,"journal":{"name":"Biomedica : revista del Instituto Nacional de Salud","volume":"45 Sp. 2","pages":"56-67"},"PeriodicalIF":0.6000,"publicationDate":"2025-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12755388/pdf/","citationCount":"0","resultStr":"{\"title\":\"Dengue incidence and its relationship with El Niño oceanic index, as a sensitive variable to anticipate outbreaks in the Colombian Caribbean region\",\"authors\":\"Alexander Salazar-Ceballos, Lídice Álvarez-Miño\",\"doi\":\"10.7705/biomedica.7933\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>The Lancet Countdown 2023 report for Latin America indicates that rising temperatures influence the transmission of the dengue virus. In Colombia’s Caribbean region, a significant association has been identified between dengue incidence and climatic variables, such as temperature, humidity, and precipitation.</p><p><strong>Objective: </strong>To analyze the relationship between the incidence of dengue and the oceanic Niño index in the departments of the Colombian Caribbean region from 2021 to 2023.</p><p><strong>Materials and methods: </strong>An ecological time series study was conducted using distributed lag non-linear models and autoregressive integrated moving average models in the seven departments of the Caribbean region. Descriptive and autoregressive analyses were performed using JASP and RStudio. Non-linear and lagged analyses were run with the dlnmpackage in RStudio.</p><p><strong>Results: </strong>A positive and significant relationship between the oceanic Niño index and dengue incidence was found for 2023 data, the year when the El Niño - ENSO (El Niño-Southern Oscillation) warm phase occurred. Bolívar, Cesar, Córdoba, and Magdalena departments showed positive correlations. A non-linear relationship between El Niño/La Niña and dengue incidence was also observed, with a higher increase in dengue cases during El Niño events.</p><p><strong>Conclusions: </strong>The oceanic Niño index appears to be a useful climatic indicator for monitoring increases in the monthly dengue incidence rate in the analyzed departments of Colombia’s Caribbean región.</p>\",\"PeriodicalId\":101322,\"journal\":{\"name\":\"Biomedica : revista del Instituto Nacional de Salud\",\"volume\":\"45 Sp. 2\",\"pages\":\"56-67\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2025-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12755388/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomedica : revista del Instituto Nacional de Salud\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7705/biomedica.7933\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedica : revista del Instituto Nacional de Salud","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7705/biomedica.7933","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dengue incidence and its relationship with El Niño oceanic index, as a sensitive variable to anticipate outbreaks in the Colombian Caribbean region
Introduction: The Lancet Countdown 2023 report for Latin America indicates that rising temperatures influence the transmission of the dengue virus. In Colombia’s Caribbean region, a significant association has been identified between dengue incidence and climatic variables, such as temperature, humidity, and precipitation.
Objective: To analyze the relationship between the incidence of dengue and the oceanic Niño index in the departments of the Colombian Caribbean region from 2021 to 2023.
Materials and methods: An ecological time series study was conducted using distributed lag non-linear models and autoregressive integrated moving average models in the seven departments of the Caribbean region. Descriptive and autoregressive analyses were performed using JASP and RStudio. Non-linear and lagged analyses were run with the dlnmpackage in RStudio.
Results: A positive and significant relationship between the oceanic Niño index and dengue incidence was found for 2023 data, the year when the El Niño - ENSO (El Niño-Southern Oscillation) warm phase occurred. Bolívar, Cesar, Córdoba, and Magdalena departments showed positive correlations. A non-linear relationship between El Niño/La Niña and dengue incidence was also observed, with a higher increase in dengue cases during El Niño events.
Conclusions: The oceanic Niño index appears to be a useful climatic indicator for monitoring increases in the monthly dengue incidence rate in the analyzed departments of Colombia’s Caribbean región.