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A Comparative Study on Three Sampling Methods of Oncomelania hupensis

Received: 19 May 2017     Published: 20 May 2017
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Abstract

The oncomelania hupensis snail is the unique host of schistosomiasis. Schistosomiasis is closely related to the spatial distribution of the snail. It is important to control schistosomiasis susceptible areas and eliminate oncomelania hupensis by optimizing, simplifying the snail sampling method, and obtaining the snail's statistics. A 50m × 50m experimental field was selected from the Chayegang marshland of Henghu farm in the Poyang Lake region, and the sampling frame (0.33m × 0.33m in size) used by the present schischtosomiasis control departments served as the basic sampling unit to conduct continuously push-broom survey of the snail. The count number of the snail, vegetation species, plant height and plant coverage were investigated. The average number of the snail were estimated under three assumed sampling scenarios: simple random sampling, systematic sampling and spatial stratified sampling. The results show that the relative errors of the average number in three sampling schemes are very close, 10.82%, 12.85% and 10.11% respectively, and the absolute errors are 0.310, 0.319 and 0.06 respectively, which demonstrate that the spatial stratified sampling has obvious advantages, its estimation accuracy of the snail can be improved remarkably.

Published in Science Discovery (Volume 5, Issue 4)
DOI 10.11648/j.sd.20170504.15
Page(s) 270-275
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Oncomelania hupensis, Vegetation, Spatial Stratified Sampling, Comparative Study

References
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    Shang Yidi, Zhao An. (2017). A Comparative Study on Three Sampling Methods of Oncomelania hupensis. Science Discovery, 5(4), 270-275. https://doi.org/10.11648/j.sd.20170504.15

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    ACS Style

    Shang Yidi; Zhao An. A Comparative Study on Three Sampling Methods of Oncomelania hupensis. Sci. Discov. 2017, 5(4), 270-275. doi: 10.11648/j.sd.20170504.15

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    AMA Style

    Shang Yidi, Zhao An. A Comparative Study on Three Sampling Methods of Oncomelania hupensis. Sci Discov. 2017;5(4):270-275. doi: 10.11648/j.sd.20170504.15

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  • @article{10.11648/j.sd.20170504.15,
      author = {Shang Yidi and Zhao An},
      title = {A Comparative Study on Three Sampling Methods of Oncomelania hupensis},
      journal = {Science Discovery},
      volume = {5},
      number = {4},
      pages = {270-275},
      doi = {10.11648/j.sd.20170504.15},
      url = {https://doi.org/10.11648/j.sd.20170504.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20170504.15},
      abstract = {The oncomelania hupensis snail is the unique host of schistosomiasis. Schistosomiasis is closely related to the spatial distribution of the snail. It is important to control schistosomiasis susceptible areas and eliminate oncomelania hupensis by optimizing, simplifying the snail sampling method, and obtaining the snail's statistics. A 50m × 50m experimental field was selected from the Chayegang marshland of Henghu farm in the Poyang Lake region, and the sampling frame (0.33m × 0.33m in size) used by the present schischtosomiasis control departments served as the basic sampling unit to conduct continuously push-broom survey of the snail. The count number of the snail, vegetation species, plant height and plant coverage were investigated. The average number of the snail were estimated under three assumed sampling scenarios: simple random sampling, systematic sampling and spatial stratified sampling. The results show that the relative errors of the average number in three sampling schemes are very close, 10.82%, 12.85% and 10.11% respectively, and the absolute errors are 0.310, 0.319 and 0.06 respectively, which demonstrate that the spatial stratified sampling has obvious advantages, its estimation accuracy of the snail can be improved remarkably.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - A Comparative Study on Three Sampling Methods of Oncomelania hupensis
    AU  - Shang Yidi
    AU  - Zhao An
    Y1  - 2017/05/20
    PY  - 2017
    N1  - https://doi.org/10.11648/j.sd.20170504.15
    DO  - 10.11648/j.sd.20170504.15
    T2  - Science Discovery
    JF  - Science Discovery
    JO  - Science Discovery
    SP  - 270
    EP  - 275
    PB  - Science Publishing Group
    SN  - 2331-0650
    UR  - https://doi.org/10.11648/j.sd.20170504.15
    AB  - The oncomelania hupensis snail is the unique host of schistosomiasis. Schistosomiasis is closely related to the spatial distribution of the snail. It is important to control schistosomiasis susceptible areas and eliminate oncomelania hupensis by optimizing, simplifying the snail sampling method, and obtaining the snail's statistics. A 50m × 50m experimental field was selected from the Chayegang marshland of Henghu farm in the Poyang Lake region, and the sampling frame (0.33m × 0.33m in size) used by the present schischtosomiasis control departments served as the basic sampling unit to conduct continuously push-broom survey of the snail. The count number of the snail, vegetation species, plant height and plant coverage were investigated. The average number of the snail were estimated under three assumed sampling scenarios: simple random sampling, systematic sampling and spatial stratified sampling. The results show that the relative errors of the average number in three sampling schemes are very close, 10.82%, 12.85% and 10.11% respectively, and the absolute errors are 0.310, 0.319 and 0.06 respectively, which demonstrate that the spatial stratified sampling has obvious advantages, its estimation accuracy of the snail can be improved remarkably.
    VL  - 5
    IS  - 4
    ER  - 

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Author Information
  • School of Geography and Environmental Sciences, Jiangxi Normal University, Nanchang City, China

  • School of Geography and Environmental Sciences, Jiangxi Normal University, Nanchang City, China

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