Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
PLoS One. 2013 Jul 16;8(7):e64593. doi: 10.1371/journal.pone.0064593. Print 2013.
The number of patients seeking health care is a central indicator that may serve several different purposes: (1) as a proxy for the impact on the burden of the primary care system; (2) as a starting point to estimate the number of persons ill with influenza; (3) as the denominator data for the calculation of case fatality rate and the proportion hospitalized (severity indicators); (4) for economic calculations. In addition, reliable estimates of burden of disease and on the health care system are essential to communicate the impact of influenza to health care professionals, public health professionals and to the public.
METHODOLOGY/PRINCIPAL FINDINGS: Using German syndromic surveillance data, we have developed a novel approach to describe the seasonal variation of medically attended acute respiratory infections (MAARI) and estimate the excess MAARI attributable to influenza. The weekly excess inside a period of influenza circulation is estimated as the difference between the actual MAARI and a MAARI-baseline, which is established using a cyclic regression model for counts. As a result, we estimated the highest ARI burden within the last 10 years for the influenza season 2004/05 with an excess of 7.5 million outpatient visits (CI95% 6.8-8.0). In contrast, the pandemic wave 2009 accounted for one third of this burden with an excess of 2.4 million (CI95% 1.9-2.8). Estimates can be produced for different age groups, different geographic regions in Germany and also in real time during the influenza waves.
寻求医疗保健的患者人数是一个核心指标,可能有多种不同的用途:(1)作为衡量基层医疗系统负担的指标;(2)作为估算流感患者人数的起点;(3)作为病死率和住院比例(严重程度指标)计算的分母数据;(4)用于经济计算。此外,可靠的疾病负担和医疗保健系统估计对于向医疗保健专业人员、公共卫生专业人员和公众传达流感的影响至关重要。
方法/主要发现:使用德国综合征监测数据,我们开发了一种新方法来描述急性呼吸道感染(ARI)的季节性变化,并估计归因于流感的额外 ARI。在流感传播期间的每周内,实际 ARI 与使用计数的循环回归模型建立的 ARI 基线之间的差异即为流感期间的每周超额 ARI。因此,我们估计了过去 10 年中流感季节 2004/05 年的最高 ARI 负担,门诊就诊人数超额 750 万(95%CI95% 6.8-8.0)。相比之下,2009 年的大流行波仅占这一负担的三分之一,超额 240 万(95%CI95% 1.9-2.8)。可以为不同年龄组、德国不同地区以及流感期间实时生成估计值。