Roder Christine, Maggs Callum, McNamara Bridgette J, O'Brien Daniel, Wade Amanda J, Bennett Catherine, Pasco Julie A, Athan Eugene
Barwon Health, Geelong, VIC.
Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Geelong, VIC.
Med J Aust. 2022 Apr 18;216(7):349-356. doi: 10.5694/mja2.51436. Epub 2022 Feb 28.
To examine associations between area-level socio-economic factors and the incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections in Victoria during 2020.
DESIGN, SETTING: Population-level ecological study of the incidence of SARS-CoV-2 infections in Victoria, by postcode, 1 March - 13 August 2020.
Relationships between the incidence of SARS-CoV-2 infections by postcode (Department of Health and Human Services data published on The Age website), and demographic, education level, ethnic background, economic and employment-related factors, housing-related factors, and social disadvantage (Australian Bureau of Statistics data for 2014-19), expressed as incidence rate ratios (IRRs).
During the study period, 15 482 SARS-CoV-2 infections with associated postcodes were recorded in Victoria. Incidence was higher for metropolitan than regional postcodes (418.3 v 62 infections per 100 000 population; IRR, 6.2; 95% CI, 4.6-8.2). In regional postcodes, incidence rose with mean household size (per person: IRR, 7.30; 95% CI, 4.37-12.2), unemployment proportion (per percentage point: IRR, 1.50; 95% CI, 1.33-1.69), and proportions for whom rent (IRR, 1.15; 95% CI, 1.07-1.22) or mortgage repayments (IRR, 1.22; 95% CI, 1.15-1.28) exceeded 30% of household income. In metropolitan areas, incidence increased with unemployment proportion (IRR, 1.14; 95% CI, 1.05-1.23) and proportion without paid leave (IRR, 1.22; 95% CI, 1.02-1.45). Incidence also increased with proportion speaking languages other than English at home (regional: IRR, 1.08; 95% CI, 1.06-1.11; metropolitan: IRR, 1.01; 95% CI, 1.002-1.02) and with Indigenous Australian proportion (metropolitan only: IRR, 1.91; 95% CI, 1.10-2.73).
Socio-economic factors may have contributed to the non-homogeneous incidence of SARS-CoV-2 infections across Victoria during 2020.
研究2020年维多利亚州地区层面的社会经济因素与严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染发病率之间的关联。
设计、背景:对2020年3月1日至8月13日维多利亚州按邮政编码划分的SARS-CoV-2感染发病率进行的人群层面生态研究。
按邮政编码划分的SARS-CoV-2感染发病率(卫生与公众服务部在《时代报》网站上公布的数据)与人口统计学、教育水平、种族背景、经济和就业相关因素、住房相关因素以及社会劣势(澳大利亚统计局2014 - 2019年数据)之间的关系,以发病率比(IRR)表示。
在研究期间,维多利亚州记录了15482例有相关邮政编码的SARS-CoV-2感染病例。大城市地区邮政编码的发病率高于地区邮政编码(每10万人口中分别为418.3例和62例;IRR为6.2;95%置信区间为4.6 - 8.2)。在地区邮政编码中,发病率随家庭平均规模(每人:IRR为7.30;95%置信区间为4.37 - 12.2)、失业比例(每增加一个百分点:IRR为1.50;95%置信区间为1.33 - 1.69)以及租金(IRR为1.15;95%置信区间为1.07 - 1.22)或房贷还款(IRR为1.22;95%置信区间为1.15 - 1.28)超过家庭收入30%的比例上升而升高。在大城市地区,发病率随失业比例(IRR为1.14;95%置信区间为1.05 - 1.23)和无带薪休假比例(IRR为1.22;95%置信区间为1.02 - 1.45)增加而升高。发病率也随在家说英语以外语言的比例增加而升高(地区:IRR为1.08;95%置信区间为1.06 - 1.11;大城市:IRR为1.01;95%置信区间为1.002 - 1.02)以及澳大利亚原住民比例增加而升高(仅大城市地区:IRR为1.91;95%置信区间为1.10 - 2.73)。
社会经济因素可能导致了2020年维多利亚州SARS-CoV-2感染发病率的不均衡。