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可变空间聚集对淋巴丝虫病传播的影响。

The effects of variable spatial aggregation on lymphatic filariasis transmission.

作者信息

Shaw Callum, McLure Angus, Glass Kathryn

机构信息

National Centre for Epidemiology and Population Health, Australian National University, 62 Mills Road, Canberra, 2601, ACT, Australia.

出版信息

Parasit Vectors. 2025 Jan 9;18(1):3. doi: 10.1186/s13071-024-06582-1.

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.

摘要

背景

消除淋巴丝虫病(LF)是世界卫生组织的目标,已有多个国家达到或接近流行阈值。在大规模药物给药后仍有LF病例的地区,病例往往在空间上聚集,个体蠕虫负担呈过度分散状态。个体和空间异质性均可导致感染聚集;然而,很少有研究调查异质性的驱动因素及其对疾病消除的影响。

方法

我们使用了一个空间明确的淋巴丝虫病模型,在三个空间尺度上研究美属萨摩亚的LF传播——一个地区级模型、一个包含64个组的村庄模型和一个包含316个组的亚村庄模型。

结果

为了重现美属萨摩亚的调查数据,空间结构较少的模型需要增加个体层面的叮咬聚集。阈值行为在地区模型中存在,但在具有空间结构的模型中不太明显。因此,大规模药物给药在地区模型中最有效,而在具有空间结构的模型中,连续几轮大规模药物给药只会逐渐增加消除的可能性。随着空间结构的增加,残留感染仍局限于有限的组中,感染复发减缓。

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政策决策提供信息至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6735/11716132/8bc72c8ec66b/13071_2024_6582_Fig1_HTML.jpg

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