Analyzing the stability of gun violence patterns during the COVID-19 pandemic in Syracuse, New York.

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Peng Gao, Sarah E Van Horne, David A Larsen, Robert A Rubinstein, Sandra D Lane
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引用次数: 0

Abstract

Gun violence is a leading cause of death in the United States. Understanding the geospatial patterns of gun violence and how the COVID-19 pandemic may have affected them is essential for developing evidence-based prevention strategies. This study investigates whether COVID-19 altered the geospatial patterns of gun violence in Syracuse, New York. To assess spatial and temporal trends, we analyzed the annual total gunshots (ATG) from 2009-2023 aggregated in census block groups and applied geospatial techniques including mean center, standard distance, Moran's I, and Getis-Ord Gi*. The ATG number was higher before the pandemic than during the pandemic, something not observed in other studies. Its geographic centers before and during the pandemic clustered within or near one census block and the associated standard distance remained similar between the two periods. Both global patterns and local clusters of ATG in the two periods not only showed similar patterns and consistent local hotspots located in similar areas, but also logarithmically related to the ATG number with statistical significance, suggesting that gun violence rates intensified within established areas rather than spreading citywide and demonstrated a similar distance-decay effect in both periods. This effect suggests that the incidence of gunshots diminished with increasing distance from the core concentrated zone, challenging assumptions of spatial spillover or contagion models in crime studies. These findings suggest that entrenched structural conditions, such as neighborhood-level socioeconomic disparities, are the primary drivers of gun violence patterns, rather than temporary pandemic-related policies. Methodologically, the study highlights the importance of long-term, meso-scale geospatial analyses to uncover persistent violence dynamics and guide preventive interventions. We argue that future violence prevention strategies should focus on enduring geospatial patterns of gun violence and their underlying structural determinants, rather than reacting solely to short-term fluctuations in incident frequency.

分析纽约州锡拉丘兹市新冠肺炎大流行期间枪支暴力模式的稳定性
在美国,枪支暴力是导致死亡的主要原因。了解枪支暴力的地理空间模式以及COVID-19大流行可能对其产生的影响,对于制定循证预防战略至关重要。这项研究调查了COVID-19是否改变了纽约州锡拉丘兹市枪支暴力的地理空间模式。为了评估空间和时间趋势,我们分析了2009-2023年人口普查街区的年度总枪击事件(ATG),并应用了地理空间技术,包括平均中心、标准距离、Moran’s I和Getis-Ord Gi*。大流行前的ATG数量高于大流行期间,这在其他研究中没有观察到。其地理中心在大流行之前和期间聚集在一个人口普查区域内或附近,相关的标准距离在两个时期之间保持相似。两个时期枪支暴力事件的全球格局和地方集群不仅表现出相似的格局和相似区域的局部热点一致,而且与枪支暴力事件数量呈对数相关,且具有统计学显著性,表明两时期枪支暴力事件发生率在建成区内加剧,而不是在全市范围内扩散,并表现出相似的距离衰减效应。这一效应表明,随着距离核心集中区的距离增加,枪击事件的发生率会降低,这对犯罪研究中空间溢出或传染模型的假设提出了挑战。这些调查结果表明,根深蒂固的结构性条件,如社区一级的社会经济差距,是枪支暴力模式的主要驱动因素,而不是与流行病有关的临时政策。在方法上,该研究强调了长期中尺度地理空间分析对揭示持续暴力动态和指导预防性干预的重要性。我们认为,未来的暴力预防战略应侧重于枪支暴力的持久地理空间模式及其潜在的结构性决定因素,而不是仅仅对事件频率的短期波动作出反应。
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来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
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