COVID-19 大流行之前和期间巴西毒物事故的时间和空间趋势:基于人口的生态研究。

Thayane Santos Siqueira, Lívia Silveira Silva, Jamile Rodrigues Cosme de Holanda, Sálvia Cely Cerqueira Carvalho, Adriano José Dos Santos, Alexrangel Henrique Cruz Santos, José Rodrigo Santos Silva, Victor Santana Santos
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引用次数: 0

摘要

目的:本研究的目的是分析巴西在COVID-19大流行前和大流行期间涉及有毒动物的事故的时空趋势。方法:利用来自法定疾病信息系统的综合数据,对2013年1月至2022年12月在巴西发生的所有涉及有毒动物的事故进行了基于种群的生态学研究。我们进行了时空分析,比较了大流行前(2013年1月至2020年2月)和大流行期间(2020年3月至2022年12月)巴西每个城市涉及有毒动物的事故发生率。在经典加性分解模型的基础上,采用季节趋势模型进行趋势分析。空间分布分析采用全球莫兰指数。结果:共记录有毒动物事故2202842例。巴西2017 - 2019年有毒动物事故呈上升趋势(年变化百分比[APC]: 0.98, p)。结论:2020 - 2022年巴西有毒动物事故呈稳定趋势。在两个研究时期,病例的空间分布具有异质性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Temporal and spatial trends of accidents with venomous animal in Brazil before and during the COVID-19 pandemic: a population-based ecological study.

Objective: The objective of this study was to analyze the temporal and spatial trends of accidents involving venomous animals in Brazil during the pre- and COVID-19 pandemic periods.

Methods: We conducted a population-based ecological study using comprehensive data from the Notifiable Diseases Information System, covering all accidents involving venomous animals in Brazil from January 2013 to December 2022. We did a temporospatial analysis to compare the incidence rates of accidents involving venomous animals per Brazilian municipality in the pre-pandemic period (January 2013 to February 2020) and the pandemic period (March 2020 to December 2022). To analyze the trend, the seasonal-trend model was used based on the classic additive decomposition model. For spatial distribution analysis, the Global Moran's Index was used.

Results: A total of 2,202,842 cases of accidents involving venomous animals were recorded. Brazil showed an increasing trend from 2017 to 2019 (annual percentage change [APC]: 0.98, p<0.001) and a stable trend from 2020 to 2022 (APC: 0.42, p<0.080). The North (APC: 0.19, p<0.330), South (APC: 0.04, p<0.953), and Southeast (APC: 0.26, p<0.312) regions presented a stable trend from 2020 to 2022. Spatial dependence of smoothed rates was observed in both the pre-pandemic (Moran's I: 0.47; p=0.000) and COVID-19 pandemic periods (Moran's I: 0.50; p=0.000).

Conclusion: There was a stable trend in accidents involving venomous animals from 2020 to 2022 in Brazil. The spatial distribution of cases was heterogeneous for both periods studied.

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