The effects of variable spatial aggregation on lymphatic filariasis transmission.

IF 3.7 2区 医学 Q1 PARASITOLOGY Parasites & Vectors Pub Date : 2025-01-09 DOI:10.1186/s13071-024-06582-1
Callum Shaw, Angus McLure, Kathryn Glass
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Abstract

Background: Elimination of lymphatic filariasis (LF) is a World Health Organization goal, with several countries at or near prevalence thresholds. Where LF cases remain after mass drug administration, they tend to be spatially clustered, with an overdispersed individual worm burden. Both individual and spatial heterogeneities can cause aggregation of infection; however, few studies have investigated the drivers of heterogeneity and implications for disease elimination.

Methods: We used a spatially explicit lymphatic filariasis model to investigate LF transmission in American Samoa at three spatial scales - a territory-level model, a village model with 64 groups and a subvillage model with 316 groups.

Results: To reproduce American Samoan survey data, models with less spatial structure required increased individual-level bite aggregation. Threshold behaviour was present in the territory model but less evident in the models with spatial structure. As such, mass drug administration was most effective in the territory model, while in the spatially structured models, successive rounds of mass drug administration only gradually increased the likelihood of elimination. With the addition of spatial structure, residual infections remained in limited groups, and infection resurgence was slowed.

Conclusions: Due to the impacts on potential intervention and surveillance strategies, it is critical that studies incorporate individual and spatial sources of heterogeneity to accurately model transmission and inform potential policy decisions.

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可变空间聚集对淋巴丝虫病传播的影响。
背景:消除淋巴丝虫病(LF)是世界卫生组织的一项目标,一些国家已达到或接近流行阈值。在大量给药后仍有LF病例的地方,它们往往呈空间聚集性,个体蠕虫负担过度分散。个体和空间异质性均可引起感染聚集;然而,很少有研究调查异质性的驱动因素和对疾病消除的影响。方法:采用空间明确的淋巴丝虫病模型,在3个空间尺度上研究美属萨摩亚淋巴丝虫病的传播情况,即领土水平模型、村庄模型(64组)和亚村庄模型(316组)。结果:为了再现美属萨摩亚调查数据,空间结构较少的模型需要增加个体水平的咬合力。阈值行为在区域模型中存在,但在空间结构模型中不太明显。因此,大规模给药在领土模型中最为有效,而在空间结构模型中,连续几轮大规模给药只会逐渐增加消除的可能性。随着空间结构的增加,残留感染保持在有限的群体中,感染复发速度减慢。结论:由于对潜在干预和监测策略的影响,研究纳入个体和空间异质性来源以准确模拟传播并为潜在的政策决策提供信息至关重要。
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来源期刊
Parasites & Vectors
Parasites & Vectors 医学-寄生虫学
CiteScore
6.30
自引率
9.40%
发文量
433
审稿时长
1.4 months
期刊介绍: Parasites & Vectors is an open access, peer-reviewed online journal dealing with the biology of parasites, parasitic diseases, intermediate hosts, vectors and vector-borne pathogens. Manuscripts published in this journal will be available to all worldwide, with no barriers to access, immediately following acceptance. However, authors retain the copyright of their material and may use it, or distribute it, as they wish. Manuscripts on all aspects of the basic and applied biology of parasites, intermediate hosts, vectors and vector-borne pathogens will be considered. In addition to the traditional and well-established areas of science in these fields, we also aim to provide a vehicle for publication of the rapidly developing resources and technology in parasite, intermediate host and vector genomics and their impacts on biological research. We are able to publish large datasets and extensive results, frequently associated with genomic and post-genomic technologies, which are not readily accommodated in traditional journals. Manuscripts addressing broader issues, for example economics, social sciences and global climate change in relation to parasites, vectors and disease control, are also welcomed.
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