Latent class evaluation of the performance of serological tests for exposure to Brucella spp. in cattle, sheep, and goats in Tanzania.

Latent class evaluation of the performance of serological tests for exposure to Brucella spp. in cattle, sheep, and goats in Tanzania.
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DOI:
10.1371/journal.pntd.0009630
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发表时间:
2021-08
影响因子:
3.8
通讯作者:
Halliday JEB
Halliday JEB
中科院分区:
医学2区
文献类型:
--
作者:
Bodenham RF;Mazeri S;Cleaveland S;Crump JA;Fasina FO;de Glanville WA;Haydon DT;Kazwala RR;Kibona TJ;Maro VP;Maze MJ;Mmbaga BT;Mtui-Malamsha NJ;Shirima GM;Swai ES;Thomas KM;Bronsvoort BMD;Halliday JEB

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布鲁氏菌病是一种被忽视的人畜共患病,在许多国家流行,包括撒哈拉以南非洲地区。评价了用于检测布鲁氏菌暴露的诊断工具。对疾病监测和指导预防和控制活动很重要。贝叶斯潜类分析用于评价虎红平板试验(RBT)和竞争ELISA(cELISA)检测布鲁氏菌的性能。坦桑尼亚牛、绵羊和山羊在个体动物水平上的暴露量。RBT敏感性的中位后验估计值为:0.779(95%贝叶斯可信区间(BCI):0.570-0.894),0.893牛、绵羊和山羊的特异性分别为0.623(0.443-0.790)、0.409(0.241-0.644)和0.561(0.376-0.713)。敏感性BCIs范围较广,以绵羊cELISA最广。RBT和cELISA特异性的中位后验估计值在物种模型中较高:RBT范围为0.989(0.980-0.998)和0.995(0.985-0.999),cELISA范围为0.984(0.974-0.995)和0.996(0.988-1)。每个物种模型产生两个牲畜亚群,牧民和非牧民血清阳性率估计。牧民血清阳性率估计值分别为:牛0.063(0.045-0.090)、绵羊0.033(0.018-0.049)和山羊0.051(0.034-0.076)。所有物种模型的非牧民血清阳性率估计值均低于0.01。评价了串联和并联诊断方法。并行方法优于串行方法。对于所有种属模型,平行检验的中位后验估计值对于灵敏度≥0.920(0.760-0.986),对于特异性≥0.973(0.955-0.992)。我们的研究结果表明,布鲁氏菌属。在坦桑尼亚,在动物水平上平行使用RBT和cELISA进行监测将获得高检测性能。有必要评估在牛群和羊群一级实施平行测试的战略。我们的研究结果可以帮助产生强大的布鲁氏菌属。坦桑尼亚和更广泛的撒哈拉以南非洲地区牲畜的暴露估计。在特定环境监测中采用当地评估的稳健诊断检测是布鲁氏菌病预防和控制的重要一步。布鲁氏菌病是一种具有全球重要性的人畜共患疾病。诊断检测的性能在不同的流行病学环境中是可变的。因此,估计布鲁氏菌诊断试验的环境特异性性能。暴露对生成可靠的监测数据很重要。本研究比较了虎红平板试验(RBT)和竞争ELISA(cELISA)检测布鲁氏菌的性能。估计了坦桑尼亚牛、绵羊和山羊在个体动物一级的接触量。特异性的RBT和cELISA中位估计值始终较高,而敏感性的中位估计值在测试之间和牲畜物种之间变化更大。并行诊断测试方法(即,通过RBT和cELISA测试所有动物,其中通过任一测试呈阳性的样品被认为是平行阳性的)给出了最好的总体测试性能,与系列方法相比(即,通过RBT测试所有动物,通过cELISA确认RBT阳性动物,其中RBT和cELISA均阳性的样品被认为是一系列阳性)。有必要进一步研究在牛群和羊群一级实施平行测试的战略。我们的研究结果可以帮助产生强大的估计布鲁氏菌。坦桑尼亚和撒哈拉以南非洲类似环境中牲畜的暴露量。在监测中采用当地评估的强有力的诊断测试是预防和控制布鲁氏菌病的重要一步。
Brucellosis is a neglected zoonosis endemic in many countries, including regions of sub-Saharan Africa. Evaluated diagnostic tools for the detection of exposure to Brucella spp. are important for disease surveillance and guiding prevention and control activities. Bayesian latent class analysis was used to evaluate performance of the Rose Bengal plate test (RBT) and a competitive ELISA (cELISA) in detecting Brucella spp. exposure at the individual animal-level for cattle, sheep, and goats in Tanzania. Median posterior estimates of RBT sensitivity were: 0.779 (95% Bayesian credibility interval (BCI): 0.570–0.894), 0.893 (0.636–0.989), and 0.807 (0.575–0.966), and for cELISA were: 0.623 (0.443–0.790), 0.409 (0.241–0.644), and 0.561 (0.376–0.713), for cattle, sheep, and goats, respectively. Sensitivity BCIs were wide, with the widest for cELISA in sheep. RBT and cELISA median posterior estimates of specificity were high across species models: RBT ranged between 0.989 (0.980–0.998) and 0.995 (0.985–0.999), and cELISA between 0.984 (0.974–0.995) and 0.996 (0.988–1). Each species model generated seroprevalence estimates for two livestock subpopulations, pastoralist and non-pastoralist. Pastoralist seroprevalence estimates were: 0.063 (0.045–0.090), 0.033 (0.018–0.049), and 0.051 (0.034–0.076), for cattle, sheep, and goats, respectively. Non-pastoralist seroprevalence estimates were below 0.01 for all species models. Series and parallel diagnostic approaches were evaluated. Parallel outperformed a series approach. Median posterior estimates for parallel testing were ≥0.920 (0.760–0.986) for sensitivity and ≥0.973 (0.955–0.992) for specificity, for all species models. Our findings indicate that Brucella spp. surveillance in Tanzania using RBT and cELISA in parallel at the animal-level would give high test performance. There is a need to evaluate strategies for implementing parallel testing at the herd- and flock-level. Our findings can assist in generating robust Brucella spp. exposure estimates for livestock in Tanzania and wider sub-Saharan Africa. The adoption of locally evaluated robust diagnostic tests in setting-specific surveillance is an important step towards brucellosis prevention and control. Brucellosis is a zoonotic disease of global importance. The performance of diagnostic tests is variable in different epidemiological settings. Therefore, estimating the setting-specific performance of diagnostic tests for Brucella spp. exposure is important in generating robust surveillance data. The performance of the Rose Bengal plate test (RBT) and a competitive ELISA (cELISA) in detecting Brucella spp. exposure at the individual animal-level for cattle, sheep, and goats from Tanzania was estimated. The RBT and cELISA median estimates for specificity were consistently high, whereas median estimates for sensitivity were more variable between tests and across livestock species. A parallel diagnostic testing approach (i.e., testing all animals by both RBT and cELISA, where a sample positive by either test was considered a parallel positive) gave the best overall test performance, as compared to a series approach (i.e., testing all animals by RBT, with RBT positive animals confirmed by cELISA, where a sample positive for both RBT and cELISA was considered a series positive). There is a need to further investigate strategies for implementing parallel testing at the herd- and flock-level. Our findings can assist in generating robust estimates for Brucella spp. exposure for livestock in Tanzania and similar settings in sub-Saharan Africa. The adoption of locally evaluated robust diagnostic tests in surveillance is an important step towards the prevention and control of brucellosis.
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