Assessing the impact of influenza epidemics in Hong Kong

Jessica Y Wong, Justin K Cheung, Anne M Presanis, Daniela De Angelis, A Danielle Iuliano, Peng Wu, Benjamin J Cowling
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Abstract

Background Assessing the impact of influenza epidemics provides useful information to assess both population and healthcare system burden and can inform prevention and control measures for seasonal epidemics, such as vaccination and antivirals. Furthermore, it is an important component of pandemic preparedness. Methods We assessed and compared three influenza impact parameters: influenza-associated excess respiratory mortality, hospitalizations and ICU admissions, under the World Health Organization Pandemic Influenza Severity Assessment framework. We used a generalized additive model to estimate these parameters from 1998 through 2019 in Hong Kong based on historical mortality, hospitalization, ICU admission and influenza surveillance data. Intensity thresholds by influenza type were estimated using quantiles from the distribution of peak values of the parameters from 1998 through 2017 and were compared to the real-time estimates of excess parameters in 2018-2019. Influenza death and hospitalization data were used for validation. Findings There was good agreement between the different impact parameters after comparing the 2018-2019 data to the thresholds. The 2019 influenza A epidemic was characterized as having moderate impact overall and in all age groups, except 0-64 years for whom the excess ICU impact was high; whereas the 2018 influenza B epidemic was characterized as having very high impact overall and in all age groups. Interpretation The impact of influenza epidemics can vary from year to year. The PISA framework facilitates the impact assessment of seasonal influenza epidemics using different data sources and can be implemented in both real-time or at the end of seasons as policy makers and public health officials prepare for the next seasonal epidemic.
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评估流感疫情对香港的影响
背景:评估流感流行的影响为评估人口和卫生保健系统负担提供了有用的信息,并可为季节性流行病的预防和控制措施(如疫苗接种和抗病毒药物)提供信息。此外,它是大流行防范工作的一个重要组成部分。方法:在世界卫生组织大流行性流感严重程度评估框架下,我们评估并比较了三个流感影响参数:流感相关的呼吸道死亡率、住院率和ICU入院率。根据香港1998年至2019年的历史死亡率、住院率、ICU入院率和流感监测数据,我们使用广义加性模型来估计这些参数。根据1998年至2017年参数峰值分布的分位数估计流感类型的强度阈值,并将其与2018-2019年超额参数的实时估计值进行比较。流感死亡和住院数据用于验证。结果2018-2019年数据与阈值比较,不同影响参数之间存在较好的一致性。2019年甲型流感疫情的特点是总体上和所有年龄组的影响都是中等的,除了0-64岁的人,他们对ICU的额外影响很高;而2018年乙型流感疫情的特点是对整体和所有年龄组的影响都非常大。流感流行的影响每年都有所不同。国际评估项目框架利用不同的数据来源促进对季节性流感流行的影响进行评估,并可在决策者和公共卫生官员为下一次季节性流行病做准备时实时实施或在季节结束时实施。
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