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本文引用的文献

1
Interactions and potential implications of Plasmodium falciparum-hookworm coinfection in different age groups in south-central Côte d'Ivoire.中非科特迪瓦中南部不同年龄段人群中疟原虫-钩虫混合感染的相互作用及潜在影响。
PLoS Negl Trop Dis. 2012;6(11):e1889. doi: 10.1371/journal.pntd.0001889. Epub 2012 Nov 1.
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Effect of sanitation on soil-transmitted helminth infection: systematic review and meta-analysis.卫生措施对土壤传播性蠕虫感染的影响:系统评价和荟萃分析。
PLoS Med. 2012 Jan;9(1):e1001162. doi: 10.1371/journal.pmed.1001162. Epub 2012 Jan 24.
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Plasmodium-helminth coinfection and its sources of heterogeneity across East Africa.东非疟原虫-寄生虫混合感染及其异质性来源。
J Infect Dis. 2012 Mar 1;205(5):841-52. doi: 10.1093/infdis/jir844. Epub 2012 Jan 18.
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The effect of helminth co-infection on malaria in mice: a meta-analysis.寄生虫共同感染对小鼠疟疾的影响:一项荟萃分析。
Int J Parasitol. 2011 Aug 15;41(10):1041-51. doi: 10.1016/j.ijpara.2011.05.009. Epub 2011 Jul 6.
5
Infectious disease. Solving the Sisyphean problem of malaria in Zanzibar.传染病。解决桑给巴尔疟疾这一永无止境的难题。
Science. 2011 Jun 17;332(6036):1384-5. doi: 10.1126/science.1201398.
6
Diarrhea, pneumonia, and infectious disease mortality in children aged 5 to 14 years in India.印度 5 至 14 岁儿童腹泻、肺炎和传染病死亡率。
PLoS One. 2011;6(5):e20119. doi: 10.1371/journal.pone.0020119. Epub 2011 May 24.
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Diversity and dialogue in immunity to helminths.寄生虫免疫中的多样性与对话。
Nat Rev Immunol. 2011 Jun;11(6):375-88. doi: 10.1038/nri2992.
8
Reported reasons for not using a mosquito net when one is available: a review of the published literature.有蚊帐可用却不使用的报告原因:已发表文献综述。
Malar J. 2011 Apr 11;10:83. doi: 10.1186/1475-2875-10-83.
9
Heterogeneities and consequences of Plasmodium species and hookworm coinfection: a population based study in Uganda.疟原虫种和钩虫混合感染的异质性及其后果:乌干达的一项基于人群的研究。
J Infect Dis. 2011 Feb 1;203(3):406-17. doi: 10.1093/infdis/jiq063. Epub 2010 Dec 27.
10
Neonatal infections in the developing world.发展中国家的新生儿感染。
Semin Perinatol. 2010 Dec;34(6):416-25. doi: 10.1053/j.semperi.2010.09.004.

合并感染对儿童局灶性感染风险的相对贡献。

The relative contribution of co-infection to focal infection risk in children.

机构信息

School of Biosciences, Cardiff University, Cardiff CF10 3AX, UK.

出版信息

Proc Biol Sci. 2013 Jan 8;280(1754):20122813. doi: 10.1098/rspb.2012.2813. Print 2013 Mar 7.

DOI:10.1098/rspb.2012.2813
PMID:23303547
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3574331/
Abstract

Co-infection is ubiquitous in people in the developing world but little is known regarding the potential for one parasite to act as a risk factor for another. Using generalized linear mixed modelling approaches applied to data from school-aged children from Zanzibar, Tanzania, we determined the strength of association between four focal infections (i.e. Ascaris lumbricoides, Trichuris trichiura, hookworm and self-reported fever, the latter used as a proxy for viral, bacterial or protozoal infections) and the prevalence or intensity of each of the helminth infections. We compared these potential co-infections with additional risk factors, specifically, host sex and age, socioeconomic status and physical environment, and determined what the relative contribution of each risk factor was. We found that the risk of infection with all four focal infections was strongly associated with at least one other infection, and that this was frequently dependent on the intensity of that other infection. In comparison, no other incorporated risk factor was associated with all focal infections. Successful control of infectious diseases requires identification of infection risk factors. This study demonstrates that co-infection is likely to be one of these principal risk factors and should therefore be given greater consideration when designing disease-control strategies. Future work should also incorporate other potential risk factors, including host genetics which were not available in this study and, ideally, assess the risks via experimental manipulation.

摘要

在发展中国家的人群中,合并感染普遍存在,但对于一种寄生虫是否可能成为另一种寄生虫的风险因素,人们知之甚少。我们使用广义线性混合模型方法,对来自坦桑尼亚桑给巴尔岛学龄儿童的数据进行了分析,以确定四种焦点感染(即蛔虫、鞭虫、钩虫和自述发热,后者用作病毒、细菌或原生动物感染的替代指标)之间的关联强度与每一种寄生虫感染的流行率或强度。我们将这些潜在的合并感染与其他风险因素(即宿主性别和年龄、社会经济地位和物理环境)进行了比较,并确定了每个风险因素的相对贡献。我们发现,所有四种焦点感染的感染风险都与至少一种其他感染密切相关,而且这种相关性常常取决于其他感染的强度。相比之下,没有其他纳入的风险因素与所有焦点感染都相关。传染病的成功控制需要确定感染风险因素。本研究表明,合并感染可能是这些主要风险因素之一,因此在设计疾病控制策略时应给予更多考虑。未来的工作还应包括其他潜在的风险因素,包括本研究中不可用的宿主遗传学,并且理想情况下,通过实验处理来评估风险。