One Health Center of Excellence, Emerging Pathogens Institute, University of Florida, 2055 Mowry Road, Gainesville, FL, 32611, USA.
Department of Environmental & Global Health, University of Florida, Gainesville, FL, USA.
Parasit Vectors. 2024 Feb 22;17(1):84. doi: 10.1186/s13071-023-06086-4.
Surveillance data documenting tick and tick-borne disease (TBD) prevalence is needed to develop risk assessments and implement control strategies. Despite extensive research in Africa, there is no standardized, comprehensive review.
Here we tackle this knowledge gap, by producing a comprehensive review of research articles on ticks and TBD between 1901 and 2020 in Chad, Djibouti, Ethiopia, Kenya, Tanzania, and Uganda. Over 8356 English language articles were recovered. Our search strategy included 19 related MeSH terms. Articles were reviewed, and 331 met inclusion criteria. Articles containing mappable data were compiled into a standardized data schema, georeferenced, and uploaded to VectorMap.
Tick and pathogen matrixes were created, providing information on vector distributions and tick-pathogen associations within the six selected African countries.
These results provide a digital, mappable database of current and historical tick and TBD distributions across six countries in Africa, which can inform specific risk modeling, determine surveillance gaps, and guide future surveillance priorities.
为了进行风险评估和实施控制策略,需要有记录蜱和蜱传疾病(TBD)流行情况的监测数据。尽管在非洲进行了广泛的研究,但没有标准化、全面的综述。
在这里,我们通过对乍得、吉布提、埃塞俄比亚、肯尼亚、坦桑尼亚和乌干达的 1901 年至 2020 年期间蜱和 TBD 的研究文章进行全面综述来解决这一知识空白。检索到超过 8356 篇英文文章。我们的搜索策略包括 19 个相关的 MeSH 术语。对文章进行了审查,有 331 篇符合纳入标准。将包含可映射数据的文章汇编成标准化的数据方案,进行地理参考,并上传到 VectorMap。
创建了蜱和病原体矩阵,提供了有关六个选定非洲国家内的矢量分布和蜱-病原体关联的信息。
这些结果提供了非洲六个国家当前和历史上的蜱和 TBD 分布的数字化、可映射数据库,可用于特定的风险建模、确定监测差距,并指导未来的监测重点。