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Region-wide synchrony and traveling waves of dengue across eight countries in Southeast Asia.


ABSTRACT: Dengue is a mosquito-transmitted virus infection that causes epidemics of febrile illness and hemorrhagic fever across the tropics and subtropics worldwide. Annual epidemics are commonly observed, but there is substantial spatiotemporal heterogeneity in intensity. A better understanding of this heterogeneity in dengue transmission could lead to improved epidemic prediction and disease control. Time series decomposition methods enable the isolation and study of temporal epidemic dynamics with a specific periodicity (e.g., annual cycles related to climatic drivers and multiannual cycles caused by dynamics in population immunity). We collected and analyzed up to 18 y of monthly dengue surveillance reports on a total of 3.5 million reported dengue cases from 273 provinces in eight countries in Southeast Asia, covering ? 10(7) km(2). We detected strong patterns of synchronous dengue transmission across the entire region, most markedly during a period of high incidence in 1997-1998, which was followed by a period of extremely low incidence in 2001-2002. This synchrony in dengue incidence coincided with elevated temperatures throughout the region in 1997-1998 and the strongest El Niño episode of the century. Multiannual dengue cycles (2-5 y) were highly coherent with the Oceanic Niño Index, and synchrony of these cycles increased with temperature. We also detected localized traveling waves of multiannual dengue epidemic cycles in Thailand, Laos, and the Philippines that were dependent on temperature. This study reveals forcing mechanisms that drive synchronization of dengue epidemics on a continental scale across Southeast Asia.

SUBMITTER: van Panhuis WG 

PROVIDER: S-EPMC4620875 | biostudies-other | 2015 Oct

REPOSITORIES: biostudies-other

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Region-wide synchrony and traveling waves of dengue across eight countries in Southeast Asia.

van Panhuis Willem G WG   Choisy Marc M   Xiong Xin X   Chok Nian Shong NS   Akarasewi Pasakorn P   Iamsirithaworn Sopon S   Lam Sai K SK   Chong Chee K CK   Lam Fook C FC   Phommasak Bounlay B   Vongphrachanh Phengta P   Bouaphanh Khamphaphongphane K   Rekol Huy H   Hien Nguyen Tran NT   Thai Pham Quang PQ   Duong Tran Nhu TN   Chuang Jen-Hsiang JH   Liu Yu-Lun YL   Ng Lee-Ching LC   Shi Yuan Y   Tayag Enrique A EA   Roque Vito G VG   Lee Suy Lyndon L LL   Jarman Richard G RG   Gibbons Robert V RV   Velasco John Mark S JM   Yoon In-Kyu IK   Burke Donald S DS   Cummings Derek A T DA  

Proceedings of the National Academy of Sciences of the United States of America 20151005 42


Dengue is a mosquito-transmitted virus infection that causes epidemics of febrile illness and hemorrhagic fever across the tropics and subtropics worldwide. Annual epidemics are commonly observed, but there is substantial spatiotemporal heterogeneity in intensity. A better understanding of this heterogeneity in dengue transmission could lead to improved epidemic prediction and disease control. Time series decomposition methods enable the isolation and study of temporal epidemic dynamics with a s  ...[more]

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