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Modeling impacts of climate change on the potential distribution of the carcinogenic liver fluke, Opisthorchis viverrini, in Thailand
被引:26
|作者:
Suwannatrai, A.
[1
]
Pratumchart, K.
[1
]
Suwannatrai, K.
[1
]
Thinkhamrop, K.
[2
]
Chaiyos, J.
[1
]
Kim, C. S.
[2
]
Suwanweerakamtorn, R.
[3
]
Boonmars, T.
[1
]
Wongsaroj, T.
[4
]
Sripa, B.
[5
]
机构:
[1] Khon Kaen Univ, Dept Parasitol, Food Borne Parasite Res Grp, Fac Med, Khon Kaen 40002, Khon Kaen Provi, Thailand
[2] Khon Kaen Univ, Data Management & Stat Anal Ctr, Fac Publ Hlth, Khon Kaen 40002, Khon Kaen Provi, Thailand
[3] Khon Kaen Univ, Reg Ctr Geoinformat & Space Technol, Dept Comp Sci, Fac Sci, Khon Kaen 40002, Khon Kaen Provi, Thailand
[4] Minist Publ Hlth, Dept Dis Control, Bur Gen Communicable Dis, Nonthaburi 11000, Thailand
[5] Khon Kaen Univ, WHO Collaborating Ctr Res & Control Opisthorchias, Trop Dis Res Lab, Dept Pathol,Fac Med, Khon Kaen 40002, Khon Kaen Provi, Thailand
关键词:
Opisthorchis viverrini;
Climate change;
MaxEnt;
Modeling;
Distribution;
Thailand;
DISEASES;
D O I:
10.1007/s00436-016-5285-x
中图分类号:
R38 [医学寄生虫学];
Q [生物科学];
学科分类号:
07 ;
0710 ;
09 ;
100103 ;
摘要:
Global climate change is now regarded as imposing a significant threat of enhancing transmission of parasitic diseases. Maximum entropy species distribution modeling (MaxEnt) was used to explore how projected climate change could affect the potential distribution of the carcinogenic liver fluke, Opisthorchis viverrini, in Thailand. A range of climate variables was used: the Hadley Global Environment Model 2-Earth System (HadGEM2-ES) climate change model and also the IPCC scenarios A2a for 2050 and 2070. Occurrence data from surveys conducted in 2009 and 2014 were obtained from the Department of Disease Control, Ministry of Public Health, Thailand. The MaxEnt model performed better than random for O. viverrini with training AUC values greater than 0.8 under current and future climatic conditions. The current distribution of O. viverrini is significantly affected by precipitation and minimum temperature. According to current conditions, parts of Thailand climatically suitable for O. viverrini are mostly in the northeast and north, but the parasite is largely absent from southern Thailand. Under future climate change scenarios, the distribution of O. viverrini in 2050 should be significantly affected by precipitation, maximum temperature, and mean temperature of the wettest quarter, whereas in 2070, significant factors are likely to be precipitation during the coldest quarter, maximum, and minimum temperatures. Maps of predicted future distribution revealed a drastic decrease in presence of O. viverrini in the northeast region. The information gained from this study should be a useful reference for implementing long-term prevention and control strategies for O. viverrini in Thailand.
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页码:243 / 250
页数:8
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