Cossu Carlo Andrea, Collins Nicola E, Oosthuizen Marinda C, Menandro Maria Luisa, Bhoora Raksha Vasantrai, Vorster Ilse, Cassini Rudi, Stoltsz Hein, Quan Melvyn, van Heerden Henriette
Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort 0110, South Africa.
Department of Animal Medicine, Production and Health, Faculty of Veterinary Medicine, University of Padova, Legnaro, 35020 Padova, Italy.
Microorganisms. 2023 Mar 9;11(3):714. doi: 10.3390/microorganisms11030714.
In Africa, ticks continue to be a major hindrance to the improvement of the livestock industry due to tick-borne pathogens that include , and species. A systemic review and meta-analysis were conducted here and highlighted the distribution and prevalence of these tick-borne pathogens in African ticks. Relevant publications were searched in five electronic databases and selected using inclusion/exclusion criteria, resulting in 138 and 78 papers included in the qualitative and quantitative analysis, respectively. Most of the studies focused on (38 studies), followed by (27 studies), (20 studies) and (17 studies). A meta-analysis of proportions was performed using the random-effects model. The highest prevalence was obtained for spp. (18.39%; 95% CI: 14.23-22.85%), (13.47%; 95% CI: 2.76-28.69%), (11.28%; 95% CI: 1.77-25.89%), (12.75%; 95% CI: 4.06-24.35%), (6.37%; 95% CI: 3.97-9.16%) and (4.3%; 95% CI: 0.04-12.66%). The prevalence of was low (0%; 95% CI: 0-0.25%), with higher prevalence for spp. (27.02%; 95% CI: 10.83-46.03%) and -like endosymbionts (70.47%; 95% CI: 27-99.82%). The effect of the tick genera, tick species, country and other variables were identified and highlighted the epidemiology of ticks in the heartwater; affinity of each species for different tick genera; dominant distribution of , and -like endosymbionts in ticks and a low distribution of in African hard ticks.
在非洲,蜱虫仍然是畜牧业发展的主要障碍,因为蜱虫传播的病原体包括[具体病原体1]、[具体病原体2]和[具体病原体3]等物种。在此进行了一项系统综述和荟萃分析,突出了这些蜱传病原体在非洲蜱虫中的分布和流行情况。在五个电子数据库中检索相关出版物,并根据纳入/排除标准进行筛选,定性分析和定量分析分别纳入了138篇和78篇论文。大多数研究集中在[病原体1](38项研究),其次是[病原体2](27项研究)、[病原体3](20项研究)和[病原体4](17项研究)。使用随机效应模型进行了比例的荟萃分析。[病原体1]属的患病率最高(18.39%;95%置信区间:14.23 - 22.85%),[病原体2](13.47%;95%置信区间:2.76 - 28.69%),[病原体3](11.28%;95%置信区间:1.77 - 25.89%),[病原体4](12.75%;95%置信区间:4.06 - 24.35%),[病原体5](6.37%;95%置信区间:3.97 - 9.16%)和[病原体6](4.3%;95%置信区间:0.04 - 12.66%)。[病原体7]的患病率较低(0%;95%置信区间:0 - 0.25%),[病原体1]属的患病率较高(27.02%;95%置信区间:10.83 - 46.03%),以及类[病原体8]内共生菌(70.47%;95%置信区间:27 - 99.82%)。确定了蜱属、蜱种、国家和其他变量的影响,并突出了心水病中蜱虫的流行病学;每种[病原体]物种对不同蜱属的亲和力;[病原体1]、[病原体2]和类[病原体8]内共生菌在蜱虫中的主要分布以及[病原体7]在非洲硬蜱中的低分布情况。