Siqueira Thayane Santos, Silva Lívia Silveira, Holanda Jamile Rodrigues Cosme de, Carvalho Sálvia Cely Cerqueira, Santos Adriano José Dos, Santos Alexrangel Henrique Cruz, Silva José Rodrigo Santos, Santos Victor Santana
Universidade Federal de Sergipe, Postgraduate Program Stricto Sensu in Health Sciences - Aracaju (SE), Brazil.
Instituto Osvaldo Cruz, Postgraduate Program Stricto Sensu in Vector Malacology - Rio de Janeiro (RJ), Brazil.
Rev Bras Epidemiol. 2025 Apr 7;28:e250012. doi: 10.1590/1980-549720250012. eCollection 2025.
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.
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.
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).
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.
本研究的目的是分析巴西在新冠疫情之前和期间涉及有毒动物事故的时空趋势。
我们进行了一项基于人群的生态学研究，使用了法定传染病信息系统的综合数据，涵盖了2013年1月至2022年12月巴西所有涉及有毒动物的事故。我们进行了时空分析，以比较疫情前时期（2013年1月至2020年2月）和疫情时期（2020年3月至2022年12月）巴西各城市涉及有毒动物事故的发病率。为了分析趋势，基于经典加法分解模型使用了季节趋势模型。对于空间分布分析，使用了全局莫兰指数。
共记录了2202842例涉及有毒动物的事故。巴西在2017年至2019年呈上升趋势（年百分比变化[APC]：0.98，p<0.001），在2020年至2022年呈稳定趋势（APC：0.42，p<0.080）。北部（APC：0.19，p<0.330）、南部（APC：0.04，p<0.953）和东南部（APC：0.26，p<0.312）地区在2020年至2022年呈稳定趋势。在疫情前（莫兰指数I：0.47；p=0.000）和新冠疫情期间（莫兰指数I：0.50；p=0.000）均观察到平滑率的空间依赖性。
巴西在2020年至2022年涉及有毒动物的事故呈稳定趋势。在所研究的两个时期，病例的空间分布均存在异质性。
