Talia M. Quandelacy, Maria F. Vincente-González, Maria Eugenia Grillet, Manuel Colomé-Hidalgo, Demian Herrera, Jomil M. Torres Aponte, Melissa Marzán Rodríguez, Laura E. Adams, Gabriela Paz-Bailey, Dania M. Rodriguez, César Munayco, Laura Figueroa, Rolando Masis, Mercy Borbor-Cordova, Esteban Ortiz-Prado, Matias Piaggio, Leslie Rollock, Guillermo Barrenechea, Aníbal Carbajo, Elizabet L. Estallo, Thais dos Santos, Michael A. Robert, Isabel Rodriguez-Barraquer, Rachel Lowe, Anna M. Stewart-Ibarra, Bernardo Garcia-Carreras, Derek Cummings, Michael A. Johansson
{"title":"登革热在美洲的同步动态","authors":"Talia M. Quandelacy, Maria F. Vincente-González, Maria Eugenia Grillet, Manuel Colomé-Hidalgo, Demian Herrera, Jomil M. Torres Aponte, Melissa Marzán Rodríguez, Laura E. Adams, Gabriela Paz-Bailey, Dania M. Rodriguez, César Munayco, Laura Figueroa, Rolando Masis, Mercy Borbor-Cordova, Esteban Ortiz-Prado, Matias Piaggio, Leslie Rollock, Guillermo Barrenechea, Aníbal Carbajo, Elizabet L. Estallo, Thais dos Santos, Michael A. Robert, Isabel Rodriguez-Barraquer, Rachel Lowe, Anna M. Stewart-Ibarra, Bernardo Garcia-Carreras, Derek Cummings, Michael A. Johansson","doi":"10.1126/scitranslmed.adq4326","DOIUrl":null,"url":null,"abstract":"<div >Dengue is endemic throughout the tropical areas of the Americas, but little is known about its regional dynamics. We examined seasonal and multiannual dengue trends across the Americas and possible underlying mechanisms using monthly dengue surveillance data from 14 countries. We collected monthly dengue case data from 241 subnational locations in 14 countries, ranging from 1985 to 2018 (6 to 22 years), and used wavelet analysis to isolate seasonal (8 to 16 months) and multiannual (17+ months) patterns. For each location, we assessed seasonal and multiannual dynamics as well as coherence and differences in timing of dengue cycles between 22,578 location pairs. We assessed patterns in coherence over time and space and compared these patterns to variations in temperature, rainfall, and El Niño Southern Oscillation patterns. Strong synchrony in dengue dynamics was identified across the region at the seasonal and multiannual scales. Seasonal dengue dynamics were associated with local climate patterns and dengue dynamics in nearby locations. High synchrony at multiannual scales indicated that large dengue epidemics were shared across the region, with an average temporal lag of only 6 months at distances of up to 10,000 kilometers. Synchrony of these epidemics likely reflects both regional climate variability and human movement. Observed dengue dynamics were not unique to individual countries in the Americas but rather extended across the region reflecting climatic and nonclimatic drivers. These findings can support the development of better early warning tools to support epidemic preparedness and response and underscore the importance of working collaboratively across borders.</div>","PeriodicalId":21580,"journal":{"name":"Science Translational Medicine","volume":"17 812","pages":""},"PeriodicalIF":14.6000,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Synchronized dynamics of dengue across the Americas\",\"authors\":\"Talia M. Quandelacy, Maria F. Vincente-González, Maria Eugenia Grillet, Manuel Colomé-Hidalgo, Demian Herrera, Jomil M. Torres Aponte, Melissa Marzán Rodríguez, Laura E. Adams, Gabriela Paz-Bailey, Dania M. Rodriguez, César Munayco, Laura Figueroa, Rolando Masis, Mercy Borbor-Cordova, Esteban Ortiz-Prado, Matias Piaggio, Leslie Rollock, Guillermo Barrenechea, Aníbal Carbajo, Elizabet L. Estallo, Thais dos Santos, Michael A. Robert, Isabel Rodriguez-Barraquer, Rachel Lowe, Anna M. Stewart-Ibarra, Bernardo Garcia-Carreras, Derek Cummings, Michael A. Johansson\",\"doi\":\"10.1126/scitranslmed.adq4326\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div >Dengue is endemic throughout the tropical areas of the Americas, but little is known about its regional dynamics. We examined seasonal and multiannual dengue trends across the Americas and possible underlying mechanisms using monthly dengue surveillance data from 14 countries. We collected monthly dengue case data from 241 subnational locations in 14 countries, ranging from 1985 to 2018 (6 to 22 years), and used wavelet analysis to isolate seasonal (8 to 16 months) and multiannual (17+ months) patterns. For each location, we assessed seasonal and multiannual dynamics as well as coherence and differences in timing of dengue cycles between 22,578 location pairs. We assessed patterns in coherence over time and space and compared these patterns to variations in temperature, rainfall, and El Niño Southern Oscillation patterns. Strong synchrony in dengue dynamics was identified across the region at the seasonal and multiannual scales. Seasonal dengue dynamics were associated with local climate patterns and dengue dynamics in nearby locations. High synchrony at multiannual scales indicated that large dengue epidemics were shared across the region, with an average temporal lag of only 6 months at distances of up to 10,000 kilometers. Synchrony of these epidemics likely reflects both regional climate variability and human movement. Observed dengue dynamics were not unique to individual countries in the Americas but rather extended across the region reflecting climatic and nonclimatic drivers. These findings can support the development of better early warning tools to support epidemic preparedness and response and underscore the importance of working collaboratively across borders.</div>\",\"PeriodicalId\":21580,\"journal\":{\"name\":\"Science Translational Medicine\",\"volume\":\"17 812\",\"pages\":\"\"},\"PeriodicalIF\":14.6000,\"publicationDate\":\"2025-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science Translational Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.science.org/doi/10.1126/scitranslmed.adq4326\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Translational Medicine","FirstCategoryId":"3","ListUrlMain":"https://www.science.org/doi/10.1126/scitranslmed.adq4326","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
Synchronized dynamics of dengue across the Americas
Dengue is endemic throughout the tropical areas of the Americas, but little is known about its regional dynamics. We examined seasonal and multiannual dengue trends across the Americas and possible underlying mechanisms using monthly dengue surveillance data from 14 countries. We collected monthly dengue case data from 241 subnational locations in 14 countries, ranging from 1985 to 2018 (6 to 22 years), and used wavelet analysis to isolate seasonal (8 to 16 months) and multiannual (17+ months) patterns. For each location, we assessed seasonal and multiannual dynamics as well as coherence and differences in timing of dengue cycles between 22,578 location pairs. We assessed patterns in coherence over time and space and compared these patterns to variations in temperature, rainfall, and El Niño Southern Oscillation patterns. Strong synchrony in dengue dynamics was identified across the region at the seasonal and multiannual scales. Seasonal dengue dynamics were associated with local climate patterns and dengue dynamics in nearby locations. High synchrony at multiannual scales indicated that large dengue epidemics were shared across the region, with an average temporal lag of only 6 months at distances of up to 10,000 kilometers. Synchrony of these epidemics likely reflects both regional climate variability and human movement. Observed dengue dynamics were not unique to individual countries in the Americas but rather extended across the region reflecting climatic and nonclimatic drivers. These findings can support the development of better early warning tools to support epidemic preparedness and response and underscore the importance of working collaboratively across borders.
期刊介绍:
Science Translational Medicine is an online journal that focuses on publishing research at the intersection of science, engineering, and medicine. The goal of the journal is to promote human health by providing a platform for researchers from various disciplines to communicate their latest advancements in biomedical, translational, and clinical research.
The journal aims to address the slow translation of scientific knowledge into effective treatments and health measures. It publishes articles that fill the knowledge gaps between preclinical research and medical applications, with a focus on accelerating the translation of knowledge into new ways of preventing, diagnosing, and treating human diseases.
The scope of Science Translational Medicine includes various areas such as cardiovascular disease, immunology/vaccines, metabolism/diabetes/obesity, neuroscience/neurology/psychiatry, cancer, infectious diseases, policy, behavior, bioengineering, chemical genomics/drug discovery, imaging, applied physical sciences, medical nanotechnology, drug delivery, biomarkers, gene therapy/regenerative medicine, toxicology and pharmacokinetics, data mining, cell culture, animal and human studies, medical informatics, and other interdisciplinary approaches to medicine.
The target audience of the journal includes researchers and management in academia, government, and the biotechnology and pharmaceutical industries. It is also relevant to physician scientists, regulators, policy makers, investors, business developers, and funding agencies.