Schluth Catherine G, Standley Claire J, Bansal Shweta, Carlson Colin J
Department of Biology, Georgetown University, Washington, DC, USA.
Department of Microbiology and Immunology, Georgetown University Medical Center, Washington, DC, USA.
Parasitology. 2023 Apr;150(4):391-399. doi: 10.1017/S0031182023000045. Epub 2023 Jan 12.
Helminthiases are a class of neglected tropical diseases that affect at least 1 billion people worldwide, with a disproportionate impact on resource-poor areas with limited disease surveillance. Geospatial methods can offer valuable insights into the burden of these infections, particularly given that many are subject to strong ecological influences on the environmental, vector-borne or zoonotic stages of their life cycle. In this study, we screened 6829 abstracts and analysed 485 studies that use maps to document, infer or predict transmission patterns for over 200 species of parasitic worms. We found that quantitative mapping methods are increasingly used in medical parasitology, drawing on One Health surveillance data from the community scale to model geographic distributions and burdens up to the regional or global scale. However, we found that the vast majority of the human helminthiases may be entirely unmapped, with research effort focused disproportionately on a half-dozen infections that are targeted by mass drug administration programmes. Entire regions were also surprisingly under-represented in the literature, particularly southern Asia and the Neotropics. We conclude by proposing a shortlist of possible priorities for future research, including several neglected helminthiases with a burden that may be underestimated.
蠕虫病是一类被忽视的热带疾病,全球至少有10亿人受其影响,在疾病监测有限的资源匮乏地区影响尤为严重。地理空间方法能够为这些感染的负担提供有价值的见解,特别是鉴于许多蠕虫病在其生命周期的环境、媒介传播或人畜共患病阶段受到强烈的生态影响。在本研究中,我们筛选了6829篇摘要,并分析了485项利用地图记录、推断或预测200多种寄生虫传播模式的研究。我们发现,定量绘图方法在医学寄生虫学中的应用越来越多,利用社区层面的“同一健康”监测数据来模拟区域或全球尺度的地理分布和负担。然而,我们发现绝大多数人类蠕虫病可能完全没有地图记录,研究工作不成比例地集中在少数几种可通过大规模药物管理计划防治的感染上。文献中某些地区的代表性也出奇地不足,特别是南亚和新热带地区。我们最后提出了一份未来研究可能的优先事项清单,包括几种负担可能被低估的被忽视蠕虫病。