| Literature DB >> 26438851 |
Willem G van Panhuis1, Marc Choisy2, Xin Xiong3, Nian Shong Chok3, Pasakorn Akarasewi4, Sopon Iamsirithaworn4, Sai K Lam5, Chee K Chong6, Fook C Lam7, Bounlay Phommasak8, Phengta Vongphrachanh9, Khamphaphongphane Bouaphanh9, Huy Rekol10, Nguyen Tran Hien11, Pham Quang Thai11, Tran Nhu Duong11, Jen-Hsiang Chuang12, Yu-Lun Liu12, Lee-Ching Ng13, Yuan Shi13, Enrique A Tayag14, Vito G Roque14, Lyndon L Lee Suy15, Richard G Jarman16, Robert V Gibbons17, John Mark S Velasco17, In-Kyu Yoon18, Donald S Burke3, Derek A T Cummings19.
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.Entities:
Keywords: Southeast Asia; dengue; dynamics; epidemiology; surveillance data
Mesh:
Year: 2015 PMID: 26438851 PMCID: PMC4620875 DOI: 10.1073/pnas.1501375112
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205