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国家采采蝇控制规划消除乌干达冈比亚睡眠病的影响:时空建模研究。

Impact of a national tsetse control programme to eliminate Gambian sleeping sickness in Uganda: a spatiotemporal modelling study.

机构信息

Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK

Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.

出版信息

BMJ Glob Health. 2024 Oct 30;9(10):e015374. doi: 10.1136/bmjgh-2024-015374.

Abstract

INTRODUCTION

Tsetse flies () transmit , which causes gambiense human African trypanosomiasis (gHAT). As part of national efforts to eliminate gHAT as a public health problem, Uganda implemented a large-scale programme of deploying Tiny Targets, which comprise panels of insecticide-treated material which attract and kill tsetse. At its peak, the programme was the largest tsetse control operation in Africa. Here, we quantify the impact of Tiny Targets and environmental changes on the spatial and temporal patterns of tsetse abundance across North-Western Uganda.

METHODS

We leverage a 100-month longitudinal dataset detailing catches from monitoring traps between October 2010 and December 2019 within seven districts in North-Western Uganda. We fitted a boosted regression tree (BRT) model assessing environmental suitability, which was used alongside Tiny Target data to fit a spatiotemporal geostatistical model predicting tsetse abundance across our study area (~16 000 km). We used the spatiotemporal model to quantify the impact of Tiny Targets and environmental changes on the distribution of tsetse, alongside metrics of uncertainty.

RESULTS

Environmental suitability across the study area remained relatively constant over time, with suitability being driven largely by elevation and distance to rivers. By performing a counterfactual analysis using the fitted spatiotemporal geostatistical model, we show that deployment of Tiny Targets across an area of 4000 km reduced the overall abundance of tsetse to low levels (median daily catch=1.1 tsetse/trap, IQR=0.85-1.28). No spatial-temporal locations had high (>10 tsetse/trap/day) numbers of tsetse compared with 18% of locations for the counterfactual.

CONCLUSIONS

In Uganda, Tiny Targets reduced the abundance of and maintained tsetse populations at low levels. Our model represents the first spatiotemporal geostatistical model investigating the effects of a national tsetse control programme. The outputs provide important data for informing next steps for vector control and surveillance.

摘要

简介

采采蝇()传播,引起冈比亚锥虫病(gHAT)。作为消除冈比亚锥虫病这一公共卫生问题的国家努力的一部分,乌干达实施了一项大规模的部署微小目标计划,该计划包括一系列用杀虫剂处理过的材料面板,这些面板吸引并杀死采采蝇。在计划的高峰期,该计划是非洲最大的采采蝇控制行动。在这里,我们量化了微小目标和环境变化对乌干达西北部采采蝇丰度的时空模式的影响。

方法

我们利用了一个 100 个月的纵向数据集,详细记录了 2010 年 10 月至 2019 年 12 月期间在乌干达西北部七个地区的监测陷阱中捕获的情况。我们拟合了一个增强回归树(BRT)模型来评估环境适宜性,该模型与微小目标数据一起用于拟合一个时空地理统计模型,以预测我们研究区域(约 16000 平方公里)内采采蝇的丰度。我们使用时空模型来量化微小目标和环境变化对采采蝇分布的影响,以及不确定性的度量。

结果

研究区域内的环境适宜性随时间相对保持稳定,适宜性主要受海拔和与河流的距离驱动。通过使用拟合的时空地理统计模型进行反事实分析,我们表明,在一个 4000 平方公里的区域内部署微小目标将采采蝇的总体丰度降低到低水平(中位数每日捕获量=1.1 只采采蝇/陷阱,IQR=0.85-1.28)。与反事实相比,没有任何时空位置的采采蝇数量(>10 只/陷阱/天)很高。

结论

在乌干达,微小目标降低了的丰度,并将采采蝇种群维持在低水平。我们的模型代表了第一个调查国家采采蝇控制计划影响的时空地理统计模型。该模型提供了重要的数据,为下一步的媒介控制和监测提供了信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/214e/11529777/eb660216fb76/bmjgh-9-10-g001.jpg

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