2020
DOI: 10.3390/ijerph17030939
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The Stakeholders’ Views on Planting Trees to Control Schistosomiasis in China

Abstract: China has initiated a tree planting program in epidemic regions of schistosomiasis as a part of efforts to eliminate schistosomiasis. More than 518,900 ha of tree plantations have been planted through the program between 2006 and 2015. However, whether the planting program has fulfilled its mission or not is an open question. In this study, we intended to get the answer from the main stakeholders of the planting program through a large-scale survey. Based on interviews with 80 administrators of the planting pr… Show more

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Cited by 6 publications
(5 citation statements)
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“…As the main carrier for the development and spread of the epidemic, land is a comprehensive expression of a region’s social and natural attributes and can significantly inhibit or promote the prevalence and breeding of the epidemic. The functional nature of the land affects the type of cover on its surface, which can positively or negatively impact snail and schistosome populations [ 53 ].…”
Section: Discussionmentioning
confidence: 99%
“…As the main carrier for the development and spread of the epidemic, land is a comprehensive expression of a region’s social and natural attributes and can significantly inhibit or promote the prevalence and breeding of the epidemic. The functional nature of the land affects the type of cover on its surface, which can positively or negatively impact snail and schistosome populations [ 53 ].…”
Section: Discussionmentioning
confidence: 99%
“…Prior to data collection, mathematical modelling can inform on optimal study sample sizes, sampling frequencies, and target participant groups necessary to accurately estimate parameters (15). Next, in collaboration with stakeholders, optimal and accepted epidemiological and biological data collection can be undertaken (16)(17)(18). To complete the understanding of disease transmission dynamics and to predict impacts of interventions, mathematical models calibrated to, and informed by, available data provide quantitative evidence, capable of informing both clinical trials and the final implementation of large-scale interventions, thus making these critical aspects of disease control more ethical and effective in the long-term.…”
Section: Pillar I: Epidemiologymentioning
confidence: 99%
“…Prior to data collection, mathematical modelling can inform on optimal study sample sizes, sampling frequencies, and target participant groups necessary to accurately estimate parameters (15). Next, in collaboration with stakeholders, optimal and accepted epidemiological and biological data collection can be undertaken (16,17,18). To complete the understanding of disease transmission dynamics and to predict impacts of interventions, mathematical models calibrated to, and informed by, available data provide quantitative evidence, capable of informing both clinical trials and the final implementation of large-scale interventions, thus making these critical aspects of disease control more ethical and effective in the long-term.…”
Section: Pillar I: Epidemiologymentioning
confidence: 99%