Carrara Rebecca L, Goedel William C, Pratty Claire, Chambers Laura C, Hallowell Benjamin D, Bowman Sarah, Marshall Brandon D L
Department of Epidemiology, School of Public Health, Brown University, Providence, RI, USA.
Substance Use Epidemiology Program, Center for Health Data and Analysis, Rhode Island Department of Health, Providence, RI, USA.
Public Health Rep. 2025 Aug 25:333549251361338. doi: 10.1177/00333549251361338.
In Rhode Island, drug overdose deaths increased by 28% in the first 6 months of the COVID-19 pandemic in 2020 as compared with the previous year (2019), mirroring national trends. We explored how the spatial distribution of overdose deaths overlapped with that of COVID-19 cases to identify levels and increased prevalence of these health issues among census tracts in Rhode Island.
We used data from the Rhode Island Department of Health and the US Census Bureau to calculate annualized COVID-19 case rates (from March 20, 2020, through December 31, 2021) and unintentional overdose death rates by census tract (from January 1, 2018, through December 31, 2021). We used bivariate cluster analyses to group census tracts into clusters of high-high, low-low, high-low, and low-high overdose deaths and COVID-19 case rates per 100 000 population.
Clusters with high overdose death rates and high COVID-19 case rates were identified in urban census tracts around the capital city of Providence, whereas clusters with low overdose death rates and low COVID-19 case rates were identified in the state's southern census tracts. Structural factors differed among cluster groups: cluster groups with high overdose death rates and high COVID-19 case rates had greater percentages of households with overcrowding (mean [SD] = 1.6% [1.0%]), people living below the federal poverty level (17.5% [7.4%]), and people with a high school degree or less (37.8% [7.8%]) than the other cluster groups.
Targeted investments in community-led and place-based public health interventions can be used to address underlying social and structural determinants of health (eg, overcrowding, poverty, low education levels) in communities with high rates of overdose deaths and COVID-19 cases.
在罗德岛,2020年新冠疫情大流行的前6个月,药物过量致死人数与上一年(2019年)相比增加了28%,这与全国趋势一致。我们探讨了药物过量致死的空间分布与新冠病例的空间分布如何重叠,以确定罗德岛各普查区这些健康问题的水平和患病率上升情况。
我们使用了罗德岛卫生部和美国人口普查局的数据,计算年化新冠病例率(从2020年3月20日至2021年12月31日)以及各普查区的意外药物过量死亡率(从2018年1月1日至2021年12月31日)。我们使用双变量聚类分析将普查区分组为每10万人口中药物过量死亡和新冠病例率高-高、低-低、高-低和低-高的聚类。
在首府普罗维登斯市周边的城市普查区发现了药物过量死亡率高且新冠病例率高的聚类,而在该州南部的普查区发现了药物过量死亡率低且新冠病例率低的聚类。聚类组之间的结构因素有所不同:药物过量死亡率高且新冠病例率高的聚类组中,过度拥挤的家庭比例(均值[标准差]=1.6%[1.0%])、生活在联邦贫困线以下的人口比例(17.5%[7.4%])以及高中及以下学历的人口比例(37.8%[7.8%])均高于其他聚类组。
有针对性地投资于社区主导和基于地点的公共卫生干预措施,可用于解决药物过量死亡和新冠病例率高的社区中潜在的社会和结构健康决定因素(如过度拥挤、贫困、低教育水平)。