Identification of Chinese plague foci from long-term epidemiological data

被引:35
|
作者
Ben-Ari, Tamara [2 ,3 ]
Neerinckx, Simon [2 ]
Agier, Lydiane [2 ]
Cazelles, Bernard [3 ,4 ,5 ]
Xu, Lei [6 ]
Zhang, Zhibin [6 ]
Fang, Xiye [1 ]
Wang, Shuchun [1 ]
Liu, Qiyong [1 ]
Stenseth, Nils C. [2 ]
机构
[1] Chinese Ctr Dis Control & Prevent, Natl Inst Communicable Dis Control & Prevent, State Key Lab Infect Dis Prevent & Control, Beijing 102206, Peoples R China
[2] Univ Oslo, Dept Biol, Ctr Ecol & Evolutionary Synth, N-0316 Oslo, Norway
[3] Univ Paris 06, Ctr Natl Rech Sci, Ecole Normale Super, Unite Mixte Rech 7625, F-75230 Paris 05, France
[4] Inst Rech Dev, UMI 209, Unite Modelisat Math & Informat Syst Complexes, F-93142 Bondy, France
[5] Univ Paris 06, F-93142 Bondy, France
[6] Chinese Acad Sci, Inst Zool, State Key Lab Integrated Management Pest Insects, Beijing 100101, Peoples R China
关键词
Yersinia pestis; Ecological Niche Modeling; wavelet analysis; plague dynamics; SPECIES DISTRIBUTIONS; PNEUMONIC PLAGUE; TIME-SERIES; CLIMATE; DISEASE; GARP;
D O I
10.1073/pnas.1110585109
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Carrying out statistical analysis over an extensive dataset of human plague reports in Chinese villages from 1772 to 1964, we identified plague endemic territories in China (i.e., plague foci). Analyses rely on (i) a clustering method that groups time series based on their time-frequency resemblances and (ii) an ecological niche model that helps identify plague suitable territories characterized by value ranges for a set of predefined environmental variables. Results from both statistical tools indicate the existence of two disconnected plague territories corresponding to Northern and Southern China. Altogether, at least four well defined independent foci are identified. Their contours compare favorably with field observations. Potential and limitations of inferring plague foci and dynamics using epidemiological data is discussed.
引用
收藏
页码:8196 / 8201
页数:6
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