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农村人群中混合物种疟疾感染的微观流行病学:哥伦比亚亚马逊地区的研究

Micro-epidemiology of mixed-species malaria infections in a rural population living in the Colombian Amazon region.

机构信息

Molecular Biology and Immunology Department, Fundación Instituto de Inmunología de Colombia (FIDIC), Bogotá, Colombia.

PhD Programme in Biomedical and Biological Sciences, School of Medicine and Health Sciences, Universidad del Rosario, Bogotá, DC, Colombia.

出版信息

Sci Rep. 2018 Apr 3;8(1):5543. doi: 10.1038/s41598-018-23801-9.

Abstract

Malaria outbreaks have been reported in recent years in the Colombian Amazon region, malaria has been re-emerging in areas where it was previously controlled. Information from malaria transmission networks and knowledge about the population characteristics influencing the dispersal of parasite species is limited. This study aimed to determine the distribution patterns of Plasmodium vivax, P. malariae and P. falciparum single and mixed infections, as well as the significant socio-spatial groupings relating to the appearance of such infections. An active search in 57 localities resulted in 2,106 symptomatic patients being enrolled. Parasitaemia levels were assessed by optical microscopy, and parasites were detected by PCR. The association between mixed infections (in 43.2% of the population) and socio-spatial factors was modelled using logistic regression and multiple correspondence analyses. P. vivax occurred most frequently (71.0%), followed by P. malariae (43.2%), in all localities. The results suggest that a parasite density-dependent regulation model (with fever playing a central role) was appropriate for modelling the frequency of mixed species infections in this population. This study highlights the under-reporting of Plasmodium spp. mixed infections in the malaria-endemic area of the Colombian Amazon region and the association between causative and environmental factors in such areas.

摘要

近年来,哥伦比亚亚马逊地区报告了疟疾疫情,疟疾在以前得到控制的地区再次出现。疟疾传播网络的信息和关于影响寄生虫种扩散的人口特征的知识有限。本研究旨在确定间日疟原虫、恶性疟原虫和疟原虫混合感染的分布模式,以及与这些感染出现相关的重要社会空间分组。在 57 个地点进行了主动搜索,共招募了 2106 名有症状的患者。通过光学显微镜评估寄生虫血症水平,并通过 PCR 检测寄生虫。使用逻辑回归和多元对应分析对混合感染(在人群中的 43.2%)和社会空间因素之间的关联进行建模。在所有地区,最常见的是间日疟原虫(71.0%),其次是恶性疟原虫(43.2%)。结果表明,寄生虫密度依赖调节模型(以发热为中心)适用于对该人群中混合物种感染的频率进行建模。本研究强调了在哥伦比亚亚马逊地区疟疾流行地区间日疟原虫混合感染报告不足的问题,以及致病因素和环境因素在这些地区的关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a794/5883018/b93f8c9fafe6/41598_2018_23801_Fig1_HTML.jpg

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