Department of Sexual Health, Infectious Diseases, and Environmental Health, South Limburg Public Health Service, Heerlen, The Netherlands.
Department of Social Medicine and Medical Microbiology, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University/MUMC+, Maastricht, The Netherlands.
Transbound Emerg Dis. 2020 Jul;67(4):1660-1670. doi: 10.1111/tbed.13505. Epub 2020 Feb 20.
Following outbreaks in other parts of the Netherlands, the Dutch border region of South Limburg experienced a large-scale outbreak of human Q fever related to a single dairy goat farm in 2009, with surprisingly few cases reported from neighbouring German counties. Late chronic Q fever, with recent spikes of newly detected cases, is an ongoing public health concern in the Netherlands. We aimed to assess the scope and scale of any undetected cross-border transmission to neighbouring German counties, where individuals unknowingly exposed may carry extra risk of overlooked diagnosis.
(A) Seroprevalence rates in the Dutch area were estimated fitting an exponential gradient to the geographical distribution of notified acute human Q fever cases, using seroprevalence in a sample of farm township inhabitants as baseline. (B) Seroprevalence rates in 122 neighbouring German postcode areas were estimated from a sample of blood donors living in these areas and attending the regional blood donation centre in January/February 2010 (n = 3,460). (C) Using multivariate linear regression, including goat and sheep densities, veterinary Q fever notifications and blood donor sampling densities as covariates, we assessed whether seroprevalence rates across the entire border region were associated with distance from the farm.
(A) Seroprevalence in the outbreak farm's township was 16.1%. Overall seroprevalence in the Dutch area was 3.6%. (B) Overall seroprevalence in the German area was 0.9%. Estimated mean seroprevalence rates (per 100,000 population) declined with increasing distance from the outbreak farm (0-19 km = 2,302, 20-39 km = 1,122, 40-59 km = 432 and ≥60 km = 0). Decline was linear in multivariate regression using log-transformed seroprevalence rates (0-19 km = 2.9 [95% confidence interval (CI) = 2.6 to 3.2], 20 to 39 km = 1.9 [95% CI = 1.0 to 2.8], 40-59 km = 0.6 [95% CI = -0.2 to 1.3] and ≥60 km = 0.0 [95% CI = -0.3 to 0.3]).
Our findings were suggestive of widespread cross-border transmission, with thousands of undetected infections, arguing for intensified cross-border collaboration and surveillance and screening of individuals susceptible to chronic Q fever in the affected area.
在荷兰其他地区爆发疫情后,2009 年荷兰南林堡边境地区的一家奶牛场爆发了大规模人类 Q 热疫情,但令人惊讶的是,毗邻的德国县报告的病例却很少。迟发性慢性 Q 热是荷兰目前持续存在的公共卫生问题,最近新发现的病例不断增加。我们旨在评估任何未被发现的跨境传播到毗邻德国县的范围和规模,在这些地区,未被察觉的接触者可能面临被忽视诊断的额外风险。
(A)使用 notified acute human Q fever 病例的地理分布拟合指数梯度来估计荷兰地区的血清流行率,使用农场乡镇居民样本中的血清流行率作为基线。(B)使用 2010 年 1 月/ 2 月在这些地区居住并参加区域献血中心的 3460 名献血者的样本,估计 122 个毗邻德国邮政编码地区的血清流行率。(C)使用多元线性回归,包括山羊和绵羊密度、兽医 Q 热通知和献血者采样密度作为协变量,我们评估了整个边境地区的血清流行率是否与距农场的距离有关。
(A)疫情农场所在乡镇的血清流行率为 16.1%。荷兰地区的总体血清流行率为 3.6%。(B)德国地区的总体血清流行率为 0.9%。距疫情农场的距离(0-19 公里=2302 人,20-39 公里=1122 人,40-59 公里=432 人,≥60 公里=0 人)与估计的平均血清流行率(每 10 万人)呈负相关。在使用对数转换血清流行率的多元回归中,下降呈线性趋势(0-19 公里=2.9 [95%置信区间(CI)2.6-3.2],20-39 公里=1.9 [95% CI 1.0-2.8],40-59 公里=0.6 [95% CI -0.2 至 1.3],≥60 公里=0.0 [95% CI -0.3 至 0.3])。
我们的研究结果表明存在广泛的跨境传播,有数千例未被发现的感染病例,这表明需要加强跨境合作以及在受影响地区对易患慢性 Q 热的个体进行监测和筛查。