Maloney Patrick, Kompaniyets Lyudmyla, Yusuf Hussain, Bonilla Luis, Figueroa Carmen, Garcia Macarena
Centers for Disease Control and Prevention, Dominican Republic.
Centers for Disease Control and Prevention, Division of Nutrition, Physical Activity and Obesity, Obesity Prevention and Control Branch, Atlanta, GA, United States.
Prev Med Rep. 2023 Oct 5;36:102459. doi: 10.1016/j.pmedr.2023.102459. eCollection 2023 Dec.
Recent advances in technology can be leveraged to enhance public health research and practice. This study aimed to assess the effects of mobility and policy changes on COVID-19 case growth and the effects of policy changes on mobility using data from Google Mobility Reports, information on public health policy, and COVID-19 testing results. Multiple bivariate regression analyses were conducted to address the study objectives. Policies designed to limit mobility led to decreases in mobility in public areas. These policies also decreased COVID-19 case growth. Conversely, policies that did not restrict mobility led to increases in mobility in public areas and led to increases in COVID-19 case growth. Mobility increases in public areas corresponded to increases in COVID-19 case growth, while concentration of mobility in residential areas corresponded to decreases in COVID-19 case growth. Overall, restrictive policies were effective in decreasing COVID-19 incidence in the Dominican Republic, while permissive policies led to increases in COVID-19 incidence.
近期的技术进步可用于加强公共卫生研究与实践。本研究旨在利用谷歌移动报告数据、公共卫生政策信息和新冠病毒检测结果,评估出行和政策变化对新冠病例增长的影响,以及政策变化对出行的影响。进行了多项双变量回归分析以实现研究目标。旨在限制出行的政策导致公共场所出行减少。这些政策也降低了新冠病例的增长。相反,不限制出行的政策导致公共场所出行增加,并导致新冠病例增长上升。公共场所出行增加与新冠病例增长上升相对应,而居民区出行集中则与新冠病例增长下降相对应。总体而言,限制性政策在降低多米尼加共和国新冠发病率方面有效,而宽松政策则导致新冠发病率上升。