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Three Gorges Dam: polynomial regression modeling of water level and the density of schistosome-transmitting snails Oncomelania hupensis

Authors :
Ya Yang
Jianchuan Gao
Wanting Cheng
Xiang Pan
Yu Yang
Yue Chen
Qingqing Dai
Lan Zhu
Yibiao Zhou
Qingwu Jiang
Source :
Parasites & Vectors, Vol 11, Iss 1, Pp 1-7 (2018)
Publication Year :
2018
Publisher :
BMC, 2018.

Abstract

Abstract Background Schistosomiasis remains a major public health concern in China. Oncomelania hupensis (O. hupensis) is the sole intermediate host of Schistosoma japonicum, and its change in distribution and density influences the endemic S. japonicum. The Three Gorges Dam (TGD) has substantially changed the downstream water levels of the dam. This study investigated the quantitative relationship between flooding duration and the density of the snail population. Methods Two bottomlands without any control measures for snails were selected in Yueyang City, Hunan Province. Data for the density of the snail population and water level in both spring and autumn were collected for the period 2009–2015. Polynomial regression analysis was applied to explore the relationship between flooding duration and the density of the snail population. Results Data showed a convex relationship between spring snail density and flooding duration of the previous year (adjusted R 2, aR 2 = 0.61). The spring snail density remained low when the flooding duration was fewer than 50 days in the previous year, was the highest when the flooding duration was 123 days, and decreased thereafter. There was a similar convex relationship between autumn snail density and flooding duration of the current year (aR 2 = 0.77). The snail density was low when the flooding duration was fewer than 50 days and was the highest when the flooding duration was 139 days. Conclusions There was a convex relationship between flooding duration and the spring or autumn snail density. The snail density was the highest when flooding lasted about four to 5 months.

Details

Language :
English
ISSN :
17563305
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Parasites & Vectors
Publication Type :
Academic Journal
Accession number :
edsdoj.466ef322cfcf4cfabb77655fe64fbcbc
Document Type :
article
Full Text :
https://doi.org/10.1186/s13071-018-2687-x