Synchronized dynamics of dengue across the Americas

IF 14.6 1区 医学 Q1 CELL BIOLOGY
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
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Abstract

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.
登革热在美洲的同步动态
登革热在整个美洲热带地区流行,但对其区域动态知之甚少。我们利用来自14个国家的月度登革热监测数据,研究了整个美洲的季节性和多年登革热趋势以及可能的潜在机制。我们收集了1985年至2018年(6至22年)期间14个国家241个次国家级地点的每月登革热病例数据,并使用小波分析分离出季节性(8至16个月)和多年性(17个月以上)模式。对于每个地点,我们评估了季节和多年动态以及22,578个地点对之间登革热周期时间的一致性和差异。我们评估了时间和空间上的一致性模式,并将这些模式与温度、降雨和厄尔尼诺Niño南方涛动模式的变化进行了比较。在整个地区,在季节性和多年尺度上发现登革热动态具有很强的同步性。季节性登革热动态与当地气候模式和附近地点的登革热动态有关。多年尺度上的高度同步性表明,整个区域都有登革热大流行,在长达1万公里的距离上,平均时间滞后仅为6个月。这些流行病的同步性可能反映了区域气候变化和人类活动。观察到的登革热动态并不是美洲个别国家独有的,而是整个区域普遍存在的,反映了气候和非气候驱动因素。这些发现可以支持开发更好的预警工具,以支持流行病的防范和应对,并强调跨境合作的重要性。
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来源期刊
Science Translational Medicine
Science Translational Medicine CELL BIOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
CiteScore
26.70
自引率
1.20%
发文量
309
审稿时长
1.7 months
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.
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