The purpose of this research is to identify important predictors, related to the ongoing COVID-19 pandemic, of intimate partner violence (IPV) and to provide insight into communication ecologies that can address IPV in disaster contexts. This study uses a cross-sectional design, with purposive snowball sampling, for primary survey data collected over 10 weeks starting the first week in April 2020. A total of 374 adults participated in the study. Logistic binary regression was used to identify key predictors among sociodemographic characteristics, stress related to COVID-19, and perceived stress of group membership for those who reported IPV experiences. A t test was used to statistically differentiate between IPV-reporters and non-IPV reporters based on perceived stress measured by the Perceived Stress Scale. Results indicated that respondents who reported renting, lost income due to COVID-19, and increased nutritional stress were all more likely to belong to the IPV-reporters group. These findings provide insight into additional stressors related to the ongoing pandemic, such as stress due to income loss, nutritional stress, and renting, and their likelihood of increasing IPV victimization. Taken together, these results indicate that additional communication resources are needed for those affected by IPV. Additional findings and implications are further discussed.

这项研究的目的是确定与正在进行的COVID-19大流行有关的亲密伴侣暴力（IPV）的重要预测因素，并深入了解可以在灾害情况下解决IPV的传播生态学。这项研究采用横断面设计和针对性的雪球采样方法，用于从2020年4月的第一周开始的10周内收集的主要调查数据。共有374位成年人参加了研究。Logistic二元回归用于确定社会人口统计学特征，与COVID-19相关的压力以及对于报告IPV经验的人的组员压力的关键预测指标。一个牛逼根据“感知压力量表”所测得的感知压力，使用“测试”对IPV报告者和非IPV报告者进行统计学区分。结果表明，报告了房租，由于COVID-19导致收入损失以及营养压力增加的受访者更有可能属于IPV报告员群体。这些发现提供了与流行病相关的其他压力源的见解，例如由于收入损失，营养压力和房租造成的压力，以及增加IPV受害的可能性。综上所述，这些结果表明，受IPV影响的人们需要更多的通信资源。其他发现和含义将进一步讨论。