Area-level geographic and socioeconomic factors and the local incidence of SARS-CoV-2 infections in Queensland between 2020 and 2022

IF 2.6 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Selina Ward, Angela Cadavid Restrepo, Lisa McHugh
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引用次数: 0

Abstract

Objective

Calculate the incidence of SARS-CoV-2 (COVID-19) infection notifications and the influence of area-level geographic and socioeconomic factors in Queensland using real-time data from the COVID-19 Real-time Information System for Preparedness and Epidemic Response (CRISPER) project.

Design and setting

Population-level ecological study and spatial mapping of the incidence of COVID-19 infection notifications in Queensland, by postcode, 2020–2022.

Main outcome measures

Proportions and distribution of COVID-19 infection notifications by year, age-group, socioeconomic disadvantage, and geospatial mapping. Incidence rate ratios (IRRs) were calculated.

Results

Between 28 January 2020 and 30 June 2022, a total of 609,569 cases of COVID-19 associated with a Queensland postcode were recorded. The highest proportion of cases occurred in 2022 (96.5%), and in the 20- to 24-year age category (IRR = 1.787). In non–Major City areas, there was also a higher incidence of COVID-19 cases in lower socioeconomic areas (IRR = 0.84) than in higher socioeconomic areas (IRR = 0.66).

Conclusions

Queensland experienced its highest proportion of COVID-19 cases once domestic and international borders opened. However, geographic and socioeconomic factors may have still contributed to a higher incidence of COVID-19 cases across some Queensland areas.

Implications for Public Health

Although Australia has moved from the emergency response phase of the COVID-19 pandemic, we need to ensure ongoing prevention strategies target groups and areas that we have identified with the highest incidence.

地区层面的地理和社会经济因素以及2020年至2022年间昆士兰严重急性呼吸系统综合征冠状病毒2型感染的本地发病率。
目的:利用新冠肺炎实时信息系统(CRISPER)项目的实时数据,计算昆士兰州严重急性呼吸系统综合征冠状病毒2型(新冠肺炎)感染通知的发生率以及地区地理和社会经济因素的影响。设计和设置:2020-2022年昆士兰州新冠肺炎感染通知发生率的人口层面生态研究和空间测绘(按邮政编码)主要结果指标:新冠肺炎感染通知的比例和分布(按年份、年龄组、社会经济劣势和地理空间测绘)。计算发病率比率(IRRs)。结果:在2020年1月28日至2022年6月30日期间,共记录了609569例与昆士兰州邮政编码相关的新冠肺炎病例。病例比例最高的是2022年(96.5%)和20至24岁年龄组(IRR=1.787)。在非主要城市地区,社会经济水平较低地区的新冠肺炎病例发病率(IRR=0.84)高于社会经济水平较高地区(IRR=0.66)。然而,地理和社会经济因素可能仍然导致了昆士兰州一些地区新冠肺炎病例的高发病率。对公共卫生的影响:尽管澳大利亚已从新冠肺炎大流行的应急响应阶段开始,但我们需要确保持续的预防战略针对我们确定的发病率最高的群体和地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Australian and New Zealand Journal of Public Health
Australian and New Zealand Journal of Public Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
4.20
自引率
5.70%
发文量
121
审稿时长
6-12 weeks
期刊介绍: The Australian and New Zealand Journal of Public Health (ANZJPH) is concerned with public health issues. The research reported includes formal epidemiological inquiries into the correlates and causes of diseases and health-related behaviour, analyses of public policy affecting health and disease, and detailed studies of the cultures and social structures within which health and illness exist. The Journal is multidisciplinary and aims to publish methodologically sound research from any of the academic disciplines that constitute public health.
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