Melanda Viviane Serra, Ibañez Humberto Cereser, Laureano Henrique Aparecido, Lima Luíza Siqueira, Figueiredo Bonald Cavalcante, Oliveira Cláudia Sirlene
Instituto de Pesquisa Pelé Pequeno Príncipe - Curitiba (PR), Brazil.
Faculdades Pequeno Príncipe - Curitiba (PR), Brazil.
Rev Bras Epidemiol. 2025 Aug 8;28:e250045. doi: 10.1590/1980-549720250045. eCollection 2025.
To analyze data from the Information System for Monitoring the Quality of Water for Human Consumption (Sisagua) to develop an environmental health indicator that assesses the risk of pesticide residues in drinking water.
This is an ecological epidemiological study using retrospective data. Information on the Limit of Detection (LOD), Limit of Quantification (LOQ), and Maximum Permissible Value (MPV) of pesticide residues in drinking water, recorded by municipalities in the state of Paraná between 2014 and 2020, was analyzed. Descriptive and inferential statistical approaches were employed, including tests of association, correlation, and hypothesis testing, as well as probability analysis, through spatial and temporal analyses.
A Pesticide Threshold Weighting Indicator (iPLA) was developed, with an explanatory capacity of variability greater than 77%. The risk-attributable variable was mainly related to the MPV, which received the highest weighting, while the LOD and LOQ were assigned lower weights.
The iPLA demonstrated the ability to represent pesticide concentration levels in drinking water. The risk categories defined by the indicator - controlled, silent, and alert - represent a highly useful tool for public health surveillance, as they enable the identification of local drinking water risk levels to human health. Moreover, the iPLA supports public management in implementing control actions and improvements in the quality of water for human consumption.
分析人类饮用水水质监测信息系统（Sisagua）的数据，以制定一项评估饮用水中农药残留风险的环境卫生指标。
这是一项使用回顾性数据的生态流行病学研究。分析了巴拉那州各市在2014年至2020年期间记录的饮用水中农药残留的检测限（LOD）、定量限（LOQ）和最大允许值（MPV）信息。采用了描述性和推断性统计方法，包括关联检验、相关性检验和假设检验，以及通过空间和时间分析进行概率分析。
开发了一种农药阈值加权指标（iPLA），其对变异性的解释能力大于77%。风险归因变量主要与MPV相关，MPV的权重最高，而LOD和LOQ的权重较低。
iPLA证明了能够代表饮用水中的农药浓度水平。该指标定义的风险类别——受控、静默和警报——是公共卫生监测的一个非常有用的工具，因为它们能够识别当地饮用水对人类健康的风险水平。此外，iPLA支持公共管理部门实施控制行动并改善人类饮用水质量。
