Am J Trop Med Hyg. 2023 Apr 10;108(5_Suppl):5-16. doi: 10.4269/ajtmh.22-0367. Print 2023 May 2.
Sub-Saharan Africa lacks timely, reliable, and accurate national data on mortality and causes of death (CODs). In 2018 Mozambique launched a sample registration system (Countrywide Mortality Surveillance for Action [COMSA]-Mozambique), which collects continuous birth, death, and COD data from 700 randomly selected clusters, a nationally representative population of 828,663 persons. Verbal and social autopsy interviews are conducted for COD determination. We analyzed data collected in 2019-2020 to report mortality rates and cause-specific fractions. Cause-specific results were generated using computer-coded verbal autopsy (CCVA) algorithms for deaths among those age 5 years and older. For under-five deaths, the accuracy of CCVA results was increased through calibration with data from minimally invasive tissue sampling. Neonatal and under-five mortality rates were, respectively, 23 (95% CI: 18-28) and 80 (95% CI: 69-91) deaths per 1,000 live births. Mortality rates per 1,000 were 18 (95% CI: 14-21) among age 5-14 years, 26 (95% CI: 20-31) among age 15-24 years, 258 (95% CI: 230-287) among age 25-59 years, and 531 (95% CI: 490-572) among age 60+ years. Urban areas had lower mortality rates than rural areas among children under 15 but not among adults. Deaths due to infections were substantial across all ages. Other predominant causes by age group were prematurity and intrapartum-related events among neonates; diarrhea, malaria, and lower respiratory infections among children 1-59 months; injury, malaria, and diarrhea among children 5-14 years; HIV, injury, and cancer among those age 15-59 years; and cancer and cardiovascular disease at age 60+ years. The COMSA-Mozambique platform offers a rich and unique system for mortality and COD determination and monitoring and an opportunity to build a comprehensive surveillance system.
撒哈拉以南非洲缺乏关于死亡率和死因(CODs)的及时、可靠和准确的国家数据。2018 年,莫桑比克推出了一个抽样登记系统(全国死因监测行动[COMSA]-莫桑比克),该系统从 700 个随机选择的群集中收集连续的出生、死亡和 COD 数据,该系统代表了 828663 人的全国代表性人口。为了确定死因,进行了口头和社会尸检访谈。我们分析了 2019-2020 年收集的数据,报告死亡率和死因特定部分。对于 5 岁及以上人群的死亡,使用计算机编码的口头尸检(CCVA)算法生成死因特定结果。对于 5 岁以下儿童的死亡,通过与微创组织取样数据进行校准,提高了 CCVA 结果的准确性。新生儿和 5 岁以下儿童的死亡率分别为每 1000 例活产 23(95%可信区间:18-28)和 80(95%可信区间:69-91)例死亡。每 1000 例的死亡率分别为 5-14 岁人群中的 18(95%可信区间:14-21)例,15-24 岁人群中的 26(95%可信区间:20-31)例,25-59 岁人群中的 258(95%可信区间:230-287)例,以及 60 岁及以上人群中的 531(95%可信区间:490-572)例。在 15 岁以下儿童中,城市地区的死亡率低于农村地区,但在成年人中并非如此。所有年龄段的传染病死亡人数都很多。按年龄组划分的其他主要死因是新生儿的早产和分娩期间相关事件;1-59 个月儿童的腹泻、疟疾和下呼吸道感染;5-14 岁儿童的伤害、疟疾和腹泻;15-59 岁人群的艾滋病毒、伤害和癌症;以及 60 岁及以上人群的癌症和心血管疾病。COMSA-Mozambique 平台为死亡率和死因确定和监测提供了一个丰富而独特的系统,也为建立一个全面的监测系统提供了机会。