1742-1743年瘟疫流行期间的高死亡率和社会脆弱性:皇家公路沿线科尔多瓦和圣达菲的人口和社会经济影响。

Valentina Villafañe, Jorge Hugo Villafañe
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引用次数: 0

摘要

背景/目的:1742年至1743年的鼠疫流行对连接布宜诺斯艾利斯和利马的主要贸易路线皇家公路(Camino Real)沿线的人口产生了深远影响。这项研究旨在量化这一流行病在科尔多瓦和圣达菲造成的人口和社会经济后果,重点是死亡率过高及其对边缘群体的更广泛影响。方法:本研究利用教区死亡记录和补充的历史资料计算疫情期间科尔多瓦和圣达菲的超额死亡率。比较了流行前(1740-1741)、流行期(1742-1743)和流行后(1744-1745)时期的死亡率。对年龄、性别、婚姻状况和种族等人口变量的其他数据进行了分析,以确定脆弱性和复原力的模式。结果:疫情期间死亡率明显偏高,科尔多瓦的死亡率在1743年5月达到峰值,是疫情前平均水平的12倍,而圣达菲的死亡率上升了45%,在1743年12月达到峰值。包括被奴役人口和土著人口在内的边缘群体受到的影响尤为严重,加剧了现有的社会不平等。这一流行病还扰乱了社会经济结构,突出了两个城市中心的系统性脆弱性。结论:本研究表明,作为理解历史流行病的人口和社会经济影响的指标,超额死亡率发挥了关键作用。通过整合定量和定性分析,它强调了公共卫生危机与拉丁美洲殖民地社会结构的交集。这些发现为与历史和当代公共卫生战略相关的复原力和恢复机制提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Excess Mortality and Social Vulnerabilities During the 1742-1743 Plague Epidemic: Demographic and Socioeconomic Impacts in Cordova and Santa Fe Along the Royal Road.

Background/objectives: The 1742-1743 plague epidemic had a profound impact on populations along the Royal Road (Camino Real), the principal trade route connecting Buenos Aires and Lima. This study aimed to quantify the demographic and socioeconomic consequences of the epidemic in Cordova and Santa Fe, with a focus on excess mortality and its broader implications for marginalized groups.

Methods: This research utilized parish death records and complementary historical sources to calculate excess mortality in Cordova and Santa Fe during the epidemic. Mortality rates were compared across pre-epidemic (1740-1741), epidemic (1742-1743), and post-epidemic (1744-1745) periods. Additional data on demographic variables such as age, gender, marital status, and ethnicity were analyzed to identify patterns of vulnerability and resilience.

Results: Excess mortality during the epidemic was significant, with death rates in Cordova peaking at 12 times the pre-epidemic average in May 1743, while Santa Fe experienced a 45% increase in mortality, peaking in December 1743. Marginalized groups, including enslaved and Indigenous populations, were disproportionately affected, exacerbating existing social inequalities. The epidemic also disrupted socioeconomic structures and highlighted systemic vulnerabilities in both urban centers.

Conclusions: This study demonstrates the critical role of excess mortality as a metric for understanding the demographic and socioeconomic impacts of historical epidemics. By integrating quantitative and qualitative analyses, it underscores the intersection of public health crises with social structures in colonial Latin America. The findings offer insights into resilience and recovery mechanisms relevant to both historical and contemporary public health strategies.

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CiteScore
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