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A multi-level spatial analysis of clinical malaria and subclinical Plasmodium infections in Pailin Province, Cambodia

机译:柬埔寨拜林省临床疟疾和亚临床疟原虫感染的多级空间分析

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摘要

The malaria burden is decreasing throughout the Greater Mekong Subregion, however transmission persists in some areas. Human movement, subclinical infections and complicated transmission patterns contribute to the persistence of malaria. This research describes the micro-geographical epidemiology of both clinical malaria and subclinical Plasmodium infections in three villages in Western Cambodia. Three villages in Western Cambodia were selected for the study based on high reported Plasmodium falciparum incidence. A census was conducted at the beginning of the study, including demographic information and travel history. The total population was 1766. Cross-sectional surveys were conducted every three months from June 2013 to June 2014. Plasmodium infections were detected using an ultra-sensitive, high-volume, quantitative polymerase chain reaction (uPCR) technique. Clinical episodes were recorded by village health workers. The geographic coordinates (latitude and longitude) were collected for all houses and all participants were linked to their respective houses using a demographic surveillance system. Written informed consent was obtained from all participants. Most clinical episodes and subclinical infections occurred within a single study village. Clinical Plasmodium vivax episodes clustered spatially in each village but only lasted for a month. In one study village subclinical infections clustered in geographic proximity to clusters of clinical episodes. The largest risk factor for clinical P. falciparum episodes was living in a house where another clinical P. falciparum episode occurred (model adjusted odds ratio (AOR): 6.9; CI: 2.3-19. 8). Subclinical infections of both P. vivax and P. falciparum were associated with clinical episodes of the same species (AOR: 5.8; CI: 1.5-19.7 for P. falciparum and AOR: 14.6; CI: 8.6-25.2 for P. vivax) and self-reported overnight visits to forested areas (AOR = 3.8; CI: 1.8-7. 7 for P. falciparum and AOR = 2.9; CI: 1.7-4.8 for P. vivax). Spatial clustering within the villages was transient, making the prediction of spatial clusters difficult. Interventions that are dependent on predicting spatial clusters (such as reactive case detection) would only have detected a small proportion of cases unless the entire village was screened within a limited time frame and with a highly sensitive diagnostic test. Subclinical infections may be acquired outside of the village (particularly in forested areas) and may play an important role in transmission
机译:整个大湄公河次区域的疟疾负担正在减少,但是在某些地区仍然存在传播。人体运动,亚临床感染和复杂的传播方式助长了疟疾的持久性。这项研究描述了柬埔寨西部三个村庄中临床疟疾和亚临床疟原虫感染的微观地理流行病学。基于恶性疟原虫发病率高的报道,选择了柬埔寨西部的三个村庄进行研究。在研究开始时进行了一次人口普查,包括人口统计信息和旅行历史。总人口为1766。从2013年6月至2014年6月,每三个月进行一次横断面调查。使用超灵敏,大量,定量聚合酶链反应(uPCR)技术检测了疟原虫感染。村卫生工作者记录了临床发作。收集了所有房屋的地理坐标(纬度和经度),并使用人口监视系统将所有参与者链接到各自的房屋。所有参与者均已获得书面知情同意。大多数临床发作和亚临床感染发生在单个研究村内。临床间日疟原虫发作在空间上聚集在每个村庄,但仅持续了一个月。在一项研究中,乡村亚临床感染在地理位置上邻近临床发作的群集。临床上恶性疟原虫发作的最大风险因素是居住在发生另一次临床恶性疟原虫发作的房屋中(模型校正后的优势比(AOR):6.9; CI:2.3-19。8)。间日疟原虫和恶性疟原虫的亚临床感染与同一物种的临床发作有关(恶性疟原虫的AOR:5.8; CI:恶性疟原虫的ACI:1.5-19.7; CI:间日疟原虫的CI:8.6-25.2)和自我报告的对森林地区的过夜访问(恶性疟原虫的AOR = 3.8; CI:恶性疟原虫为1.8-7。7,间日疟原虫的AOR = 2.9; CI为1.7-4.8)。村庄内的空间集群是暂时的,因此很难预测空间集群。除非能够在有限的时间范围内对整个村庄进行筛查并采用高度敏感的诊断测试,否则依赖于预测空间集群的干预措施(例如反应性病例检测)只能检测到少量病例。亚临床感染可能在村庄外(尤其是在森林地区)获得,并可能在传播中起重要作用

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