Predictors of bovine Schistosoma japonicum infection in rural Sichuan, China.
Predictors of bovine Schistosoma japonicum infection in rural Sichuan, China.
复制标题
四川农村牛血吸虫感染的预测因子。
DOI：
10.1016/j.ijpara.2022.04.002
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发表时间：
2022-07
影响因子：
4
通讯作者：
Carlton, Elizabeth J.
中科院分区：
文献类型：
--
作者：
Grover, Elise;Paull, Sara;Kechris, Katerina;Buchwald, Andrea;James, Katherine;Liu, Yang;Carlton, Elizabeth J.
在中国，牛被认为是人类血吸虫病感染最常见的动物来源，尽管对促进牛感染的因素知之甚少。目前的文献特点不一致，有时相互矛盾的结果，迄今为止，很少有研究超越物理特性，以确定更广泛的环境条件，预测牛血吸虫病。由于血吸虫病是一种与卫生有关的水媒疾病，由许多动物传播，我们假设几个环境因素-如缺乏改善的卫生系统，或参与水密集型农业生产-可能会促进牛的血吸虫病感染。使用2007年至2016年在中国四川农村进行的重复横断面研究的一部分收集的数据，我们使用随机森林机器学习方法来确定牛日本血吸虫感染的最佳物理和环境预测因子。候选预测因子包括：（i）牛的物理/生物学特性，（ii）环境有害物质的人为来源，（iii）社会经济指标，（iv）动物水库，（v）农业实践。村庄中牛的密度和农业实践，如水稻和夏季旱作物的种植面积，以及粪便作为农业肥料的使用，是牛S。日本血吸虫感染。此外，人类感染率，猪的所有权和牛的年龄被认为是牛感染的强预测因子，在至少1年。我们的研究结果强调，在牛密度高或人感染率高的村庄对牛进行假定治疗可能有助于阻断传播。此外，村一级的预测因子比家庭一级的预测因子更强的牛感染的预测因子，这表明未来的调查可能需要应用广泛的生态透镜，以确定潜在的持续传播的潜在来源。
In China, bovines are believed to be the most common animal source of human schistosomiasis infections, though little is known about what factors promote bovine infections. The current body of literature features inconsistent, and sometimes contradictory results, and to date, few studies have looked beyond physical characteristics to identify the broader environmental conditions that predict bovine schistosomiasis. Because schistosomiasis is a sanitation-related, water-borne disease transmitted by many animals, we hypothesized that several environmental factors – such as the lack of improved sanitation systems, or participation in agricultural production that is water-intensive – could promote schistosomiasis infection in bovines. Using data collected as part of a repeat cross-sectional study conducted in rural villages in Sichuan, China from 2007 to 2016, we used a Random Forests, machine learning approach to identify the best physical and environmental predictors of bovine Schistosoma japonicum infection. Candidate predictors included: (i) physical/biological characteristics of bovines, (ii) human sources of environmental schistosomes, (iii) socio-economic indicators, (iv) animal reservoirs, and (v) agricultural practices. The density of bovines in a village and agricultural practices such as the area of rice and dry summer crops planted, and the use of night soil as an agricultural fertilizer, were among the top predictors of bovine S. japonicum infection in all collection years. Additionally, human infection prevalence, pig ownership and bovine age were found to be strong predictors of bovine infection in at least 1 year. Our findings highlight that presumptively treating bovines in villages with high bovine density or human infection prevalence may help to interrupt transmission. Furthermore, village-level predictors were stronger predictors of bovine infection than household-level predictors, suggesting future investigations may need to apply a broad ecological lens to identify potential underlying sources of persistent transmission.
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影响因子：
3.7
作者：
Gray DJ;Williams GM;Li Y;McManus DP
通讯作者：
McManus DP
影响因子：
8.1
作者：
Liu Y;Zhong B;Wu ZS;Liang S;Qiu DC;Ma X
通讯作者：
Ma X
影响因子：
1.3
作者：
Biau, Gerard;Scornet, Erwan
通讯作者：
Scornet, Erwan
DOI：
10.5897/jvmah2018.0670
发表时间：
2018-01-01
期刊：
Journal of Veterinary Medicine and Animal Health
影响因子：
--
作者：
Abriham Kebede, Abriham Kebede;Jiregna Dugassa, Jiregna Dugassa;Wakjira, B.
通讯作者：
Wakjira, B.
影响因子：
3.8
作者：
Carlton, Elizabeth J.;Liu, Yang;Spear, Robert C.
通讯作者：
Spear, Robert C.