COVID-19 Infection Rates and Propensity to Self-Respond in the 2020 U.S. Decennial Census

N. Bates, Joseph C. Zamadics
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引用次数: 4

Abstract

Survey methodologists have acknowledged that the social environment may influence survey and census participation—both at the societal level and at the community level. The 2020 COVID-19 pandemic affected daily life throughout the entire U.S., but to differing degrees depending upon the particular neighborhood or community. In this article, we use U.S. Centers for Disease Control county-level COVID-19 infection data coupled with U.S. 2020 Decennial Census response rate data to explore whether this societal level pandemic influenced participation in the census. We found that even when controlling for covariates predictive of COVID-19 infection rates (e.g., percent minority population, age 65+), infection rates were found to be significantly (negatively) associated with self-response.
2020年美国十年一次人口普查中COVID-19感染率和自我反应倾向
调查方法学家承认,社会环境可能会影响社会层面和社区层面的调查和人口普查参与。2020年新冠肺炎大流行影响了整个美国的日常生活,但不同程度的影响取决于特定的社区或社区。在这篇文章中,我们使用美国疾病控制中心县级新冠肺炎感染数据以及美国2020年十年人口普查响应率数据来探讨这种社会层面的大流行是否影响了人口普查的参与。我们发现,即使控制预测新冠肺炎感染率的协变量(例如,少数民族人口百分比,65岁以上),感染率也与自我反应显著(负)相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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