ENS, École Normale Supérieure, Paris, France.
EHESP French School of Public Health, 20 Avenue George Sand, 93210 La Plaine St Denis, Paris, France.
Sci Rep. 2022 Nov 14;12(1):19451. doi: 10.1038/s41598-022-23279-6.
Despite improved surveillance capacities and WHO recommendations for subdistrict analysis, routine epidemic surveillance of acute bacterial meningitis in the African meningitis belt remains largely limited to the district level. We evaluated the appropriateness and performance of analyses at higher spatial resolution. We used suspected meningitis surveillance data at health centre (HC) resolution from Burkina Faso from 14 health districts spanning years 2004-2014 and analysed them using spatio-temporal statistics and generative models. An operational analysis compared epidemic signals at district and HC-level using weekly incidence thresholds. Eighty-four percent (N = 98/116) of epidemic clusters spanned only one HC-week. Spatial propagation of epidemic clusters was mostly limited to 10-30 km. During the 2004-2009 (with serogroup A meningitis) and 2010-2014 (after serogroup A elimination) period, using weekly HC-level incidence thresholds of 100 and 50 per 100,000 respectively, we found a gain in epidemic detection and timeliness in 9 (41% of total) and 10 (67%), respectively, district years with at least one HC signal. Individual meningitis epidemics expanded little in space, suggesting that a health centre level analysis is most appropriate for epidemic surveillance. Epidemic surveillance could gain in precision and timeliness by higher spatial resolution. The optimal threshold should be defined depending on the current background incidence of bacterial meningitis.
尽管监测能力有所提高,世界卫生组织也建议进行分区分析,但在非洲脑膜炎地带,对急性细菌性脑膜炎的常规流行监测在很大程度上仍然仅限于区级。我们评估了更高空间分辨率分析的适当性和性能。我们使用了来自布基纳法索 14 个区的卫生中心(HC)分辨率的疑似脑膜炎监测数据,这些数据涵盖了 2004-2014 年,我们使用时空统计学和生成模型对其进行了分析。一项操作分析使用每周发病率阈值比较了区和 HC 级别的流行信号。84%(N=116/98)的流行集群仅跨越一个 HC 周。流行集群的空间传播主要限于 10-30 公里。在 2004-2009 年(A 群脑膜炎血清型)和 2010-2014 年(A 群脑膜炎消除后)期间,使用每周 HC 级发病率阈值分别为 100 和 50 每 100,000 人,我们在 9 个(总共有 10 个区的 41%)和 10 个(总共有 10 个区的 67%)区年中发现了流行检测和及时性的提高,这些区年中至少有一个 HC 信号。个别脑膜炎流行在空间上扩展很小,这表明 HC 级别的分析最适合流行监测。通过更高的空间分辨率,流行监测可以在精度和及时性方面获得提高。最佳阈值应根据当前细菌性脑膜炎的背景发病率来定义。