Sumboh Jeffrey Gabriel, Laryea Nii A, Otchere Joseph, Ahorlu Collins S, de Souza Dziedzom K
Department of Parasitology, Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Accra P.O. Box LG 581, Ghana.
Department of Epidemiology, Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, Accra P.O. Box LG 581, Ghana.
Trop Med Infect Dis. 2024 May 7;9(5):107. doi: 10.3390/tropicalmed9050107.
Studies on the distribution of lymphatic filariasis (LF) have mostly focused on reporting prevalence at the community level and distribution at the district levels. Understanding the distribution patterns at community levels may help in designing surveillance strategies. This study aimed to characterize the spatial distribution of LF infections in four hotspot communities in Ghana. The research, involving 252 participants, collected demographic data, mass drug administration (MDA) information, household GPS coordinates, and antigen detection test results. The LF prevalence varied significantly among the communities, with Asemda having the highest (33.33%) and Mempeasem having the lowest (4.44%). Females had lower odds of infection than males (OR = 2.67, = 0.003 CI: 1.39-5.13). Spatial analysis using kernel density, Anselin Local Moran's, Getis-Ord Gi models, Ordinary Least Squares, and Geographic Weighted Regression revealed mixed patterns of spatial autocorrelation. This study identified LF hotspots, indicating clusters of high or low prevalence with some areas showing disparities between MDA coverage and LF positivity rates. Despite these hotspots, the overall distribution of LF appeared random, suggesting the importance of purposeful sampling in surveillance activities. These findings contribute valuable insights into the micro-epidemiology of LF, emphasizing the need for community-specific investigations to understand the factors influencing the effectiveness of MDA programs in controlling filarial infections. The study highlights the importance of refining surveillance strategies based on community-level distribution patterns.
关于淋巴丝虫病(LF)分布的研究大多集中在报告社区层面的患病率和地区层面的分布情况。了解社区层面的分布模式可能有助于设计监测策略。本研究旨在描述加纳四个热点社区LF感染的空间分布特征。该研究涉及252名参与者,收集了人口统计学数据、群体服药(MDA)信息、家庭GPS坐标以及抗原检测试验结果。各社区的LF患病率差异显著,阿塞姆达的患病率最高(33.33%),门佩塞姆的患病率最低(4.44%)。女性感染的几率低于男性(OR = 2.67, = 0.003,CI:1.39 - 5.13)。使用核密度、安塞林局部莫兰指数、Getis-Ord Gi模型、普通最小二乘法和地理加权回归进行的空间分析揭示了空间自相关的混合模式。本研究确定了LF热点地区,表明存在高患病率或低患病率的聚集区,一些地区的MDA覆盖率与LF阳性率之间存在差异。尽管存在这些热点地区,但LF的总体分布似乎是随机的,这表明在监测活动中有针对性抽样的重要性。这些发现为LF的微观流行病学提供了有价值的见解,强调了进行社区特异性调查以了解影响MDA计划控制丝虫感染有效性的因素的必要性。该研究强调了根据社区层面的分布模式完善监测策略的重要性。