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This study builds a multilevel model of the influence of media information use and neighborhood risk factors on preventive behaviors. In the context of the COVID-19 pandemic in New York City, multilevel modeling was implemented with individual-level survey data from 2020 ( N = 995) and community-level data from 2019 and 2020 from databases ( N = 41). The predominant effects were at the individual level, including information scanning having more common significant effects on the behavioral outcomes than information seeking. Community-level crime and poverty rates also had significant effects, and four significant cross-level interactions show how community-level risk factors moderate the effects of information scanning.
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Christopher E. Beaudoin (2024) studied this question.
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