Identifying signature features of epidemic diseases from 19th century all-cause mortality data.

IF 5 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Rasmus Kristoffer Pedersen, Mathias Mølbak Ingholt, Maarten Van Wijhe, Viggo Andreasen, Lone Simonsen
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引用次数: 0

Abstract

Deadly epidemics leave distinct marks on all-cause mortality. When cause-specific health data are unavailable, studies of all-cause mortality may be necessary for understanding epidemic and pandemic diseases in history. Here, we identify and catalog every major epidemic in Denmark during the 100-year period between 1815 and 1915, based on a recently digitized and compiled data set of all 4 million burials during the period. Although the data set lacks specific information on cause of death, we were able to determine plausible etiology for the majority of 418 identified mortality crises that had more than 50 excess deaths. Epidemiologic methods, data analysis, consultation of historical sources, and investigation of the signature features of age patterns, seasonality, timing, and geography were used. The identified epidemics included, among others, pandemic influenza, cholera outbreaks in 1853 and 1857, and annually repeating epidemics during the period 1826-1832. Although these epidemics have been discussed elsewhere, our work presents a different view of these epidemics, based solely on all-cause mortality. Some of the identified epidemics were caused by pathogens that still affect us in modern times. In low-income modern settings for which representative population health data may be unavailable, the use of mortality data to determine the signature features may guide policy and improve future mitigation strategies.

从 19 世纪全因死亡率数据中识别流行病的特征。
致命的流行病会在全因死亡率上留下明显的痕迹。在无法获得特定病因的健康数据时,对全因死亡率的研究可能是了解历史上流行病和大流行病的必要条件。我们根据最近数字化和汇编的数据集,对丹麦在 1814 年至 1915 年这一百年间的所有 400 万个墓葬进行了识别和编目。尽管该数据集缺乏具体的死因信息,但我们还是能够确定 418 起死亡人数超过 50 人的死亡危机中的大多数的合理病因。为此,我们采用了流行病学方法、数据分析、历史资料查询,以及对年龄模式、季节性、时间和地理特征的调查。确定的流行病包括大流行性流感、1853 年和 1857 年爆发的霍乱以及 1826-1832 年每年重复发生的流行病等。虽然这些流行病已在其他地方讨论过,但我们的研究仅从全因死亡率的角度对这些流行病提出了不同的看法。其中一些已确定的流行病是由病原体引起的,而这些病原体在现代仍然影响着我们。在低收入的现代环境中,可能无法获得具有代表性的人口健康数据,利用死亡率数据来确定流行病的特征,可以为政策提供指导,并改进未来的缓解策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
American journal of epidemiology
American journal of epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
7.40
自引率
4.00%
发文量
221
审稿时长
3-6 weeks
期刊介绍: The American Journal of Epidemiology is the oldest and one of the premier epidemiologic journals devoted to the publication of empirical research findings, opinion pieces, and methodological developments in the field of epidemiologic research. It is a peer-reviewed journal aimed at both fellow epidemiologists and those who use epidemiologic data, including public health workers and clinicians.
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