Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, The University of Warwick, Coventry, United Kingdom.
Mathematics Institute, The University of Warwick, Coventry, United Kingdom.
PLoS Negl Trop Dis. 2022 Jul 11;16(7):e0010599. doi: 10.1371/journal.pntd.0010599. eCollection 2022 Jul.
Gambiense human African trypanosomiasis (gHAT) has been targeted for elimination of transmission (EoT) to humans by 2030. Whilst this ambitious goal is rapidly approaching, there remain fundamental questions about the presence of non-human animal transmission cycles and their potential role in slowing progress towards, or even preventing, EoT. In this study we focus on the country with the most gHAT disease burden, the Democratic Republic of Congo (DRC), and use mathematical modelling to assess whether animals may contribute to transmission in specific regions, and if so, how their presence could impact the likelihood and timing of EoT. By fitting two model variants-one with, and one without animal transmission-to the human case data from 2000-2016 we estimate model parameters for 158 endemic health zones of the DRC. We evaluate the statistical support for each model variant in each health zone and infer the contribution of animals to overall transmission and how this could impact predicted time to EoT. We conclude that there are 24/158 health zones where there is substantial to decisive statistical support for some animal transmission. However-even in these regions-we estimate that animals would be extremely unlikely to maintain transmission on their own. Animal transmission could hamper progress towards EoT in some settings, with projections under continuing interventions indicating that the number of health zones expected to achieve EoT by 2030 reduces from 68/158 to 61/158 if animal transmission is included in the model. With supplementary vector control (at a modest 60% tsetse reduction) added to medical screening and treatment interventions, the predicted number of health zones meeting the goal increases to 147/158 for the model including animal transmission. This is due to the impact of vector reduction on transmission to and from all hosts.
冈比亚人体锥虫病(gHAT)的传播已被定为 2030 年消除(EoT)的目标。尽管这一雄心勃勃的目标正在迅速逼近,但对于非人类动物传播周期的存在及其在减缓或甚至阻止 EoT 进展方面的潜在作用,仍存在一些基本问题。在这项研究中,我们专注于冈比亚人体锥虫病负担最重的国家,即刚果民主共和国(DRC),并使用数学模型来评估动物是否可能在特定地区促进传播,如果是,它们的存在将如何影响 EoT 的可能性和时间。通过将两个模型变体(一个包含动物传播,另一个不包含动物传播)拟合到 2000-2016 年的人类病例数据中,我们估计了刚果民主共和国 158 个流行地区的模型参数。我们评估了每个健康区每个模型变体的统计支持,并推断了动物对整体传播的贡献以及这将如何影响预测的 EoT 时间。我们得出的结论是,有 24/158 个健康区有大量的证据支持动物传播。然而,即使在这些地区,我们估计动物本身也极不可能维持传播。动物传播可能会在某些情况下阻碍 EoT 的进展,在持续干预的预测下,考虑到动物传播的情况下,预计到 2030 年实现 EoT 的健康区数量从 68/158 减少到 61/158。如果在模型中包括动物传播,则向医疗筛查和治疗干预措施中添加补充的媒介控制(适度减少 60%的采采蝇),预测符合目标的健康区数量将从包括动物传播的模型中的 147/158 增加到 147/158。这是因为媒介减少对所有宿主的传播的影响。