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Spatial clustering and risk factors of malaria infections in Ratanakiri Province, Cambodia

机译:柬埔寨拉塔纳基里省疟疾感染的空间聚集和危险因素

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Background Malaria incidence worldwide has steadily declined over the past decades. Consequently, increasingly more countries will proceed from control to elimination. The malaria distribution in low incidence settings appears patchy, and local transmission hotspots are a continuous source of infection. In this study, species-specific clusters and associated risk factors were identified based on malaria prevalence data collected in the north-east of Cambodia. In addition, Plasmodium falciparum genetic diversity, population structure and gene flows were studied. Method In 2012, blood samples from 5793 randomly selected individuals living in 117 villages were collected from Ratanakiri province, Cambodia. Malariometric data of each participant were simultaneously accumulated using a standard questionnaire. A two-step PCR allowed for species-specific detection of malaria parasites, and SNP-genotyping of P. falciparum was performed. SaTScan was used to determine species-specific areas of elevated risk to infection, and univariate and multivariate risk analyses were carried out. Result PCR diagnosis found 368 positive individuals (6.4%) for malaria parasites, of which 22% contained mixed species infections. The occurrence of these co-infections was more frequent than expected. Specific areas with elevated risk of infection were detected for all Plasmodium species. The clusters for Falciparum, Vivax and Ovale malaria appeared in the north of the province along the main river, while the cluster for Malariae malaria was situated elsewhere. The relative risk to be a malaria parasite carrier within clusters along the river was twice that outside the area. The main risk factor associated with three out of four malaria species was overnight stay in the plot hut, a human behaviour associated with indigenous farming. Haplotypes did not show clear geographical population structure, but pairwise Fst value comparison indicated higher parasite flow along the river. Discussion Spatial aggregation of malaria parasite carriers, and the identification of malaria species-specific risk factors provide key insights in malaria epidemiology in low transmission settings, which can guide targeted supplementary interventions. Consequently, future malaria programmes in the province should implement additional specific policies targeting households staying overnight at their farms outside the village, in addition to migrants and forest workers.
机译:背景信息在过去的几十年中,全世界的疟疾发病率稳步下降。因此,越来越多的国家将从控制转向淘汰。低发病率地区的疟疾分布似乎不完整,局部传播热点是持续的感染源。在这项研究中,根据柬埔寨东北部收集的疟疾流行数据,确定了特定物种的集群和相关的危险因素。此外,研究了恶性疟原虫的遗传多样性,种群结构和基因流。方法2012年,从柬埔寨的Ratanakiri省抽取了117个村庄的5793名随机抽取的个体的血液样本。使用标准调查表同时收集每个参与者的疟疾数据。进行两步PCR可以对疟原虫进行物种特异性检测,并进行恶性疟原虫的SNP基因分型。 SaTScan用于确定感染风险升高的特定物种区域,并进行了单因素和多因素风险分析。结果PCR诊断发现368例疟原虫阳性个体(6.4%),其中22%包含混合物种感染。这些合并感染的发生比预期的更为频繁。在所有疟原虫物种中都发现了感染风险升高的特定区域。 Falciparum,Vivax和Ovale疟疾的集群出现在该省北部,沿着主要河流,而Malariae疟疾的集群则位于其他地方。在沿河的集群中成为疟原虫的相对危险度是该地区以外的两倍。与四种疟疾物种中的三种相关的主要危险因素是在农舍中过夜,这是与土著农业有关的人类行为。单倍型没有显示清楚的地理种群结构,但成对的Fst值比较表明沿河的寄生虫流量较高。讨论疟疾寄生虫携带者的空间聚集以及对疟疾物种特定风险因素的识别为低传播环境下的疟疾流行病学提供了重要见解,可为定向补充干预提供指导。因此,该省未来的疟疾计划应实施其他具体政策,除移民和林业工人外,还针对在村外农场过夜的家庭。

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