Zeeman Institute, University of Warwick, Coventry, UK.
School of Life Sciences, University of Warwick, Coventry, UK.
PLoS Negl Trop Dis. 2018 Oct 8;12(10):e0006453. doi: 10.1371/journal.pntd.0006453. eCollection 2018 Oct.
Visceral leishmaniasis (VL) is characterised by a high degree of spatial clustering at all scales, and this feature remains even with successful control measures. VL is targeted for elimination as a public health problem in the Indian subcontinent by 2020, and incidence has been falling rapidly since 2011. Current control is based on early diagnosis and treatment of clinical cases, and blanket indoor residual spraying of insecticide (IRS) in endemic villages to kill the sandfly vectors. Spatially targeting active case detection and/or IRS to higher risk areas would greatly reduce costs of control, but its effectiveness as a control strategy is unknown. The effectiveness depends on two key unknowns: how quickly transmission risk decreases with distance from a VL case and how much asymptomatically infected individuals contribute to transmission.
METHODOLOGY/PRINCIPAL FINDINGS: To estimate these key parameters, a spatiotemporal transmission model for VL was developed and fitted to geo-located epidemiological data on 2494 individuals from a highly endemic village in Mymensingh, Bangladesh. A Bayesian inference framework that could account for the unknown infection times of the VL cases, and missing symptom onset and recovery times, was developed to perform the parameter estimation. The parameter estimates obtained suggest that, in a highly endemic setting, VL risk decreases relatively quickly with distance from a case-halving within 90m-and that VL cases contribute significantly more to transmission than asymptomatic individuals.
CONCLUSIONS/SIGNIFICANCE: These results suggest that spatially-targeted interventions may be effective for limiting transmission. However, the extent to which spatial transmission patterns and the asymptomatic contribution vary with VL endemicity and over time is uncertain. In any event, interventions would need to be performed promptly and in a large radius (≥300m) around a new case to reduce transmission risk.
内脏利什曼病(VL)在所有尺度上都具有高度的空间聚集性,即使采取了成功的控制措施,这种特征仍然存在。VL 是印度次大陆 2020 年消除公共卫生问题的目标,自 2011 年以来,发病率已迅速下降。目前的控制措施基于对临床病例的早期诊断和治疗,以及在流行地区的村庄进行全面室内残留喷洒杀虫剂(IRS)以杀死沙蝇传播媒介。针对活跃病例检测和/或 IRS 进行高风险区域的空间靶向,可以大大降低控制成本,但作为控制策略的有效性尚不清楚。其有效性取决于两个关键的未知因素:从 VL 病例到传播风险降低的速度以及无症状感染者对传播的贡献程度。
方法/主要发现:为了估计这些关键参数,开发了一个用于 VL 的时空传播模型,并将其拟合到孟加拉国 Mymensingh 一个高度流行的村庄的 2494 个人的地理位置流行病学数据。开发了一种贝叶斯推断框架,可以解释 VL 病例的未知感染时间,以及症状发作和恢复时间的缺失,以进行参数估计。获得的参数估计表明,在高度流行的环境中,VL 风险相对较快地随距离病例而降低,减半距离在 90 米内,并且 VL 病例比无症状个体对传播的贡献更大。
结论/意义:这些结果表明,空间靶向干预可能对限制传播有效。然而,空间传播模式和无症状贡献随 VL 流行程度和随时间变化的程度尚不确定。无论如何,干预措施需要在新病例周围迅速且在较大半径(≥300m)内进行,以降低传播风险。