Fracasso Gerardo, Grillini Marika, Grassi Laura, Gradoni Francesco, Rold Graziana da, Bertola Michela
Eco-Epidemiology Group, Department of Biomedical Sciences, Institute of Tropical Medicine, 2000 Antwerp, Belgium.
Evolutionary Ecology Group, Department of Biology, University of Antwerp, 2610 Wilrijk, Belgium.
Pathogens. 2023 Apr 5;12(4):557. doi: 10.3390/pathogens12040557.
Since tick-borne diseases (TBDs) incidence, both in human and animal populations, is increasing worldwide, there is the need to assess the presence, distribution and prevalence of tick-borne pathogens. Reliable estimates on tick-borne pathogens (TBPs) prevalence represent the public health foundation to create risk maps and take effective prevention and control actions against TBDs. Tick surveillance consists of collecting and testing (usually in pools) thousands of specimens. Construction and analysis of tick pools represent a challenge due to the complexity of tick-borne pathogens and tick-borne diseases ecology. The aim of this study is to provide a practical guideline on appropriate pooling strategies and statistical analysis of infection prevalence through: (i) reporting the different pooling strategies and statistical methodologies commonly used to calculate pathogen prevalence in tick populations and (ii) practical comparison between statistical methods utilising a real dataset of infection prevalence in ticks collected in Northern Italy. Reporting detailed information on tick pool composition and size is as important as the correct TBPs prevalence estimation. Among the prevalence indexes, we suggest using maximum-likelihood estimates of pooled prevalence instead of minimum infection rate or pool positivity rate given the merits of the method and availability of software.
由于蜱传疾病(TBDs)在全球范围内的人类和动物群体中的发病率都在上升,因此有必要评估蜱传病原体的存在、分布和流行情况。对蜱传病原体(TBPs)流行情况的可靠估计是创建风险地图以及针对蜱传疾病采取有效预防和控制措施的公共卫生基础。蜱虫监测包括收集和检测(通常是混合检测)数千个样本。由于蜱传病原体和蜱传疾病生态的复杂性,蜱虫混合样本的构建和分析是一项挑战。本研究的目的是通过以下方式提供关于适当混合策略和感染流行率统计分析的实用指南:(i)报告常用于计算蜱虫种群中病原体流行率的不同混合策略和统计方法,以及(ii)利用意大利北部采集的蜱虫感染流行率实际数据集对统计方法进行实际比较。报告蜱虫混合样本组成和大小的详细信息与正确估计蜱传病原体流行率同样重要。在流行率指标中,鉴于该方法的优点和软件的可用性,我们建议使用混合流行率的最大似然估计值,而不是最小感染率或混合阳性率。