双城记:种族、社会经济、数字和党派分歧导致的COVID-19疫苗犹豫

Rui Li, D. Erickson, Mareyam Belcaid, Madu Franklin Chinedu, Oluwabukola Olufunke Akanbi
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引用次数: 0

摘要

前所未有的新冠肺炎大流行引起了人们对疫苗犹豫问题的高度关注,因为创新RNA疫苗的接受度相对较低。研究涉及多种因素,如社会经济、政治和种族背景。然而,这些研究依赖于作为人口一部分的参与者的调查数据。本研究利用美国人口普查局的实际数据以及2020年美国总统大选的实际结果,得出了划分人口的四大类因素:社会经济地位、种族和民族、技术获取和政治认同。然后,本研究选择了一个传统的民主州(纽约州首都地区)和一个传统的共和党州(德克萨斯州休斯顿大都会地区)的地区。相关性和地理加权回归等统计分析显示,两个地区的政治认同、受教育程度和非西班牙白人种族等因素都显著影响疫苗接受程度。其他因素,如贫困和特定的少数民族,在每个地区都有不同的影响。这些结果还强调了解决其他因素的必要性,以进一步阐明疫苗犹豫问题,并根据确定的因素提出潜在的解决办法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Tale of Two Cities: COVID-19 Vaccine Hesitancy as a Result of Racial, Socioeconomic, Digital, and Partisan Divides
The unprecedented COVID-19 pandemic has drawn great attention to the issue of vaccine hesitancy, as the acceptance of the innovative RNA vaccine is relatively low. Studies have addressed multiple factors, such as socioeconomic, political, and racial backgrounds. These studies, however, rely on survey data from participants as part of the population. This study utilizes the actual data from the U.S. Census Bureau as well as actual 2020 U.S. presidential election results to generate four major category of factors that divide the population: socioeconomic status, race and ethnicity, access to technology, and political identification. This study then selects a region in a traditionally democratic state (Capital Region in New York) and a region in a traditionally republican state (Houston metropolitan area in Texas). Statistical analyses such as correlation and geographically weighted regression reveal that factors such as political identification, education attainment, and non-White Hispanic ethnicity in both regions all impact vaccine acceptance significantly. Other factors, such as poverty and particular minority races, have different influences in each region. These results also highlight the necessity of addressing additional factors to further shed light on vaccine hesitancy and potential solutions according to identified factors.
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