School of Public Health, University of Queensland, Herston, Australia.
School of Public Health, University of Queensland, Herston, Australia.
Aust N Z J Public Health. 2023 Dec;47(6):100094. doi: 10.1016/j.anzjph.2023.100094. Epub 2023 Oct 20.
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.
Population-level ecological study and spatial mapping of the incidence of COVID-19 infection notifications in Queensland, by postcode, 2020-2022.
Proportions and distribution of COVID-19 infection notifications by year, age-group, socioeconomic disadvantage, and geospatial mapping. Incidence rate ratios (IRRs) were calculated.
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).
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.
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.
利用 COVID-19 实时信息系统(CRISPER)项目的实时数据,计算昆士兰州 SARS-CoV-2(COVID-19)感染通知的发生率,并分析地区地理和社会经济因素的影响。
2020 年至 2022 年,在昆士兰州,按邮政编码进行 COVID-19 感染通知发生率的人群水平生态研究和空间映射。
每年、年龄组、社会经济劣势和地理空间映射的 COVID-19 感染通知的比例和分布。计算发病率比(IRR)。
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 COVID-19 病例。2022 年的病例比例最高(96.5%),20-24 岁年龄组的发病率最高(IRR=1.787)。在非主要城市地区,社会经济水平较低地区的 COVID-19 发病率(IRR=0.84)高于社会经济水平较高地区(IRR=0.66)。
昆士兰州在国内和国际边界开放后经历了 COVID-19 病例比例最高的时期。然而,地理和社会经济因素可能仍然导致昆士兰州一些地区 COVID-19 病例的发生率更高。
尽管澳大利亚已从 COVID-19 大流行的紧急应对阶段过渡,但我们需要确保持续的预防策略针对我们确定的发病率最高的人群和地区。