Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, Keppel Street, Bloomsbury, London, WCIE 7HT, UK.
Infectious Diseases Society Sabah-Menzies School of Health Research Clinical Research Unit, Kota Kinabalu, Malaysia.
Sci Rep. 2023 Aug 10;13(1):12998. doi: 10.1038/s41598-023-39670-w.
Malaysia has reported no indigenous cases of P. falciparum and P. vivax for over 3 years. When transmission reaches such low levels, it is important to understand the individuals and locations where exposure risks are high, as they may be at greater risk in the case of a resurgence of transmission. Serology is a useful tool in low transmission settings, providing insight into exposure over longer durations than PCR or RDT. We ran blood samples from a 2015 population-based survey in northern Sabah, Malaysian Borneo on a multiplex bead assay. Using supervised machine learning methods, we characterised recent and historic exposure to Plasmodium falciparum and P. vivax and found recent exposure to P. falciparum to be very low, with exposure to both species increasing with age. We performed a risk-factor assessment on environmental, behavioural, demographic and household factors, and identified forest activity and longer travel times to healthcare as common risk-factors for exposure to P. falciparum and P. vivax. In addition, we used remote-sensing derived data and geostatistical models to assess environmental and spatial associations with exposure. We created predictive maps of exposure to recent P. falciparum in the study area and showed 3 clear foci of exposure. This study provides useful insight into the environmental, spatial and demographic risk factors for P. falciparum and P. vivax at a period of low transmission in Malaysian Borneo. The findings would be valuable in the case of resurgence of human malarias in the region.
马来西亚已经超过 3 年没有报告本地疟原虫和间日疟原虫感染病例了。当传播水平如此之低时,了解高暴露风险的人群和地点非常重要,因为如果传播重新出现,他们可能面临更大的风险。在低传播环境中,血清学是一种有用的工具,可以提供比 PCR 或 RDT 更长时间的暴露情况。我们对 2015 年在马来西亚婆罗洲北部进行的一项基于人群的调查中的血液样本进行了多重珠粒分析。使用有监督的机器学习方法,我们描述了近期和既往疟原虫感染情况,并发现近期感染疟原虫的情况非常低,而两种疟原虫的感染率随着年龄的增长而增加。我们对环境、行为、人口和家庭因素进行了风险因素评估,并确定森林活动和到医疗机构的旅行时间较长是感染疟原虫的常见风险因素。此外,我们还利用遥感数据和地统计学模型评估了与暴露相关的环境和空间关联。我们在研究区域创建了近期感染疟原虫的预测图,并显示了 3 个明确的暴露焦点。本研究为马来西亚婆罗洲低传播期间疟原虫的环境、空间和人口风险因素提供了有用的见解。这些发现对于该地区人类疟疾重新出现的情况将具有重要价值。