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Effectiveness analysis of spatially targeted mollusciciding for Oncomelania snail control

A new developed spatially targeted mollusciciding technology for snail control was utilised in a research site. This study aims to analyse whether this technology can achieve rational effectiveness compared with the routine method. Snail density was monitored every spring and autumn from 2010 to 201...

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Autores principales: Xie, Y., Wu, W., Zhang, Y., Peng, Z., Hu, Y., Xu, M., Tan, X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374813/
https://www.ncbi.nlm.nih.gov/pubmed/32605678
http://dx.doi.org/10.1017/S0950268820001466
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author Xie, Y.
Wu, W.
Zhang, Y.
Zhang, Y.
Peng, Z.
Hu, Y.
Xu, M.
Tan, X.
author_facet Xie, Y.
Wu, W.
Zhang, Y.
Zhang, Y.
Peng, Z.
Hu, Y.
Xu, M.
Tan, X.
author_sort Xie, Y.
collection PubMed
description A new developed spatially targeted mollusciciding technology for snail control was utilised in a research site. This study aims to analyse whether this technology can achieve rational effectiveness compared with the routine method. Snail density was monitored every spring and autumn from 2010 to 2017 at the research site and routine mollusciciding for snail control was then performed. After snail density monitoring in spring 2018, spatially targeted mollusciciding technology was adopted. Log-linear regression and nonlinear regression models were used for snail density prediction in autumn 2018 and the predicted value was compared with the actual snail density in autumn 2018 to verify the effectiveness of the spatially targeted mollusciciding. Monitoring results showed that overall snail density in the research site decreased from 2010 to 2018. The monitored snail density in autumn 2018 was 0.014/0.1 m(2). Predicted by the log-linear regression model, the snail density in autumn 2018 would be 0.028 (95% CI 0.11–0.072)/0.1 m(2). Predicted by the nonlinear regression model, the snail density growth in autumn 2018 in contrast to spring 2018 would be 79.79% (95% CI 54.81%–104.77%) and the actual value was 55.56%. Therefore, the effectiveness of the first application of spatially targeted mollusciciding was acceptable. However, the validation of its sustainable effectiveness still needs a replicated study comparing areas where targeted and untargeted methods are applied simultaneously and both snail abundance and human infection are monitored.
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spelling pubmed-73748132020-07-31 Effectiveness analysis of spatially targeted mollusciciding for Oncomelania snail control Xie, Y. Wu, W. Zhang, Y. Zhang, Y. Peng, Z. Hu, Y. Xu, M. Tan, X. Epidemiol Infect Original Paper A new developed spatially targeted mollusciciding technology for snail control was utilised in a research site. This study aims to analyse whether this technology can achieve rational effectiveness compared with the routine method. Snail density was monitored every spring and autumn from 2010 to 2017 at the research site and routine mollusciciding for snail control was then performed. After snail density monitoring in spring 2018, spatially targeted mollusciciding technology was adopted. Log-linear regression and nonlinear regression models were used for snail density prediction in autumn 2018 and the predicted value was compared with the actual snail density in autumn 2018 to verify the effectiveness of the spatially targeted mollusciciding. Monitoring results showed that overall snail density in the research site decreased from 2010 to 2018. The monitored snail density in autumn 2018 was 0.014/0.1 m(2). Predicted by the log-linear regression model, the snail density in autumn 2018 would be 0.028 (95% CI 0.11–0.072)/0.1 m(2). Predicted by the nonlinear regression model, the snail density growth in autumn 2018 in contrast to spring 2018 would be 79.79% (95% CI 54.81%–104.77%) and the actual value was 55.56%. Therefore, the effectiveness of the first application of spatially targeted mollusciciding was acceptable. However, the validation of its sustainable effectiveness still needs a replicated study comparing areas where targeted and untargeted methods are applied simultaneously and both snail abundance and human infection are monitored. Cambridge University Press 2020-07-01 /pmc/articles/PMC7374813/ /pubmed/32605678 http://dx.doi.org/10.1017/S0950268820001466 Text en © The Author(s) 2020 http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Xie, Y.
Wu, W.
Zhang, Y.
Zhang, Y.
Peng, Z.
Hu, Y.
Xu, M.
Tan, X.
Effectiveness analysis of spatially targeted mollusciciding for Oncomelania snail control
title Effectiveness analysis of spatially targeted mollusciciding for Oncomelania snail control
title_full Effectiveness analysis of spatially targeted mollusciciding for Oncomelania snail control
title_fullStr Effectiveness analysis of spatially targeted mollusciciding for Oncomelania snail control
title_full_unstemmed Effectiveness analysis of spatially targeted mollusciciding for Oncomelania snail control
title_short Effectiveness analysis of spatially targeted mollusciciding for Oncomelania snail control
title_sort effectiveness analysis of spatially targeted mollusciciding for oncomelania snail control
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374813/
https://www.ncbi.nlm.nih.gov/pubmed/32605678
http://dx.doi.org/10.1017/S0950268820001466
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