Faculdade de Medicina São Leopoldo Mandic,Campinas, Sao Paulo,Brazil.
Universidad Iberoamericana, Instituto de Medicina Tropical & Salud Global,Santo Domingo,Dominican Republic.
Epidemiol Infect. 2018 Dec;146(16):2059-2065. doi: 10.1017/S0950268818002315. Epub 2018 Aug 28.
In some chikungunya epidemics, deaths are not completely captured by traditional surveillance systems, which record case and death reports. We evaluated excess deaths associated with the 2014 chikungunya virus (CHIKV) epidemic in Guadeloupe and Martinique, Antilles. Population (784 097 inhabitants) and mortality data, estimated by sex and age, were accessed from the Institut National de la Statistique et des Études Économiques in France. Epidemiological data, cases, hospitalisations and deaths on CHIKV were obtained from the official epidemiological reports of the Cellule de Institut de Veille Sanitaire in France. Excess deaths were calculated as the difference between the expected and observed deaths for all age groups for each month in 2014 and 2015, considering the upper limit of 99% confidence interval. The Pearson correlation coefficient showed a strong correlation between monthly excess deaths and reported cases of chikungunya (R = 0.81, p < 0.005) and with a 1-month lag (R = 0.87, p < 0.001); and a strong correlation was also observed between monthly rates of hospitalisation for CHIKV and excess deaths with a delay of 1 month (R = 0.87, p < 0.0005). The peak of the epidemic occurred in the month with the highest mortality, returning to normal soon after the end of the CHIKV epidemic. There were excess deaths in almost all age groups, and excess mortality rate was higher among the elderly but was similar between male and female individuals. The overall mortality estimated in the current study (639 deaths) was about four times greater than that obtained through death declarations (160 deaths). Although the aetiological diagnosis of all deaths associated with CHIKV infection is not always possible, already well-known statistical tools can contribute to the evaluation of the impact of CHIKV on mortality and morbidity in the different age groups.
在某些基孔肯雅热疫情中,传统的监测系统并未完全捕捉到死亡情况,该系统记录病例和死亡报告。我们评估了安的列斯群岛瓜德罗普岛和马提尼克岛 2014 年基孔肯雅病毒 (CHIKV) 流行期间的超额死亡人数。人口(784097 人)和死亡率数据由法国国家统计局和经济研究学院按性别和年龄进行估算。流行病学数据、病例、住院和 CHIKV 死亡数据来自法国卫生监测中心的官方流行病学报告。超额死亡人数为 2014 年和 2015 年每个月所有年龄组的预期死亡人数与实际死亡人数之间的差异,考虑到 99%置信区间的上限。Pearson 相关系数显示,每月超额死亡人数与基孔肯雅热报告病例之间存在很强的相关性(R = 0.81,p < 0.005),且存在 1 个月的滞后(R = 0.87,p < 0.001);还观察到 CHIKV 住院率与 1 个月滞后的超额死亡人数之间存在很强的相关性(R = 0.87,p < 0.0005)。疫情高峰期出现在死亡率最高的月份,在 CHIKV 疫情结束后不久很快恢复正常。几乎所有年龄组都有超额死亡人数,老年人的超额死亡率较高,但男女之间的死亡率相似。本研究中估计的总死亡率(639 人死亡)约为通过死亡声明获得的死亡率(160 人死亡)的四倍。尽管并非所有与 CHIKV 感染相关的死亡病例的病因诊断都能确定,但已经熟知的统计工具有助于评估 CHIKV 对不同年龄组的死亡率和发病率的影响。