Association Actions en Santé, The GRAPH Network, Geneve, Switzerland.
Institute of Management, Scuola Superiore Sant'Anna, Pisa, Italy.
BMJ Glob Health. 2021 Nov;6(11). doi: 10.1136/bmjgh-2021-007225.
Since sex-based biological and gender factors influence COVID-19 mortality, we wanted to investigate the difference in mortality rates between women and men in sub-Saharan Africa (SSA).
We included 69 580 cases of COVID-19, stratified by sex (men: n=43 071; women: n=26 509) and age (0-39 years: n=41 682; 40-59 years: n=20 757; 60+ years: n=7141), from 20 member nations of the WHO African region until 1 September 2020. We computed the SSA-specific and country-specific case fatality rates (CFRs) and sex-specific CFR differences across various age groups, using a Bayesian approach.
A total of 1656 deaths (2.4% of total cases reported) were reported, with men accounting for 70.5% of total deaths. In SSA, women had a lower CFR than men (mean [Formula: see text] = -0.9%; 95% credible intervals (CIs) -1.1% to -0.6%). The mean CFR estimates increased with age, with the sex-specific CFR differences being significant among those aged 40 years or more (40-59 age group: mean [Formula: see text] = -0.7%; 95% CI -1.1% to -0.2%; 60+ years age group: mean [Formula: see text] = -3.9%; 95% CI -5.3% to -2.4%). At the country level, 7 of the 20 SSA countries reported significantly lower CFRs among women than men overall. Moreover, corresponding to the age-specific datasets, significantly lower CFRs in women than men were observed in the 60+ years age group in seven countries and 40-59 years age group in one country.
Sex and age are important predictors of COVID-19 mortality globally. Countries should prioritise the collection and use of sex-disaggregated data so as to design public health interventions and ensure that policies promote a gender-sensitive public health response.
由于基于性别的生物学和性别因素会影响 COVID-19 的死亡率,因此我们希望研究撒哈拉以南非洲(SSA)地区男女死亡率的差异。
我们纳入了 69580 例 COVID-19 病例,按性别(男性:n=43071;女性:n=26509)和年龄(0-39 岁:n=41682;40-59 岁:n=20757;60+岁:n=7141)分层,数据来自世界卫生组织非洲区域的 20 个成员国,截至 2020 年 9 月 1 日。我们使用贝叶斯方法计算了 SSA 特定和国家特定的病死率(CFR)以及不同年龄组的性别特异性 CFR 差异。
共报告了 1656 例死亡(占报告总病例的 2.4%),其中男性占总死亡人数的 70.5%。在 SSA,女性的 CFR 低于男性(平均[Formula: see text]=-0.9%;95%可信区间(CI)-1.1%至-0.6%)。随着年龄的增长,CFR 估计值增加,在 40 岁及以上的人群中,性别特异性 CFR 差异具有统计学意义(40-59 岁年龄组:平均[Formula: see text]=-0.7%;95%CI-1.1%至-0.2%;60+岁年龄组:平均[Formula: see text]=-3.9%;95%CI-5.3%至-2.4%)。在国家层面,20 个 SSA 国家中有 7 个国家报告女性的总体 CFR 明显低于男性。此外,与年龄特定数据集相对应,在 7 个国家的 60+岁年龄组和 1 个国家的 40-59 岁年龄组中,女性的 CFR 明显低于男性。
性别和年龄是全球 COVID-19 死亡率的重要预测因素。各国应优先收集和使用按性别分类的数据,以便设计公共卫生干预措施,并确保政策促进对性别问题敏感的公共卫生应对。