Akinocho El-Mouksitou, Kasongo Matthieu, Moerman Kristel, Sere Felipe, Coppieters Yves
Université libre de Bruxelles (ULB), École de Santé publique, Centre de recherche Épidémiologie et biostatistique, Route de Lennik 808, 1070 Bruxelles, Belgique.
Memisa Belgique ASBL, Square de Meeûs 19, 1050 Bruxelles, Belgique.
Med Trop Sante Int. 2023 Apr 18;3(2). doi: 10.48327/mtsi.v3i2.2023.356. eCollection 2023 Jun 30.
The Democratic Republic of Congo (DRC) has experienced widespread community transmission of SARS-CoV-2 and has recorded four successive waves from March 2020 to March 2022. The objective of this study is to determine the socio-demographic characteristics of Covid-19 patients during these epidemic waves in the province of Kongo central and to identify factors associated with deaths.
This is a cross-sectional study of Covid-19 data from the provincial surveillance system. The data consisted of epidemiological surveillance data, laboratory data (tests), hospital data and patient follow-up data. We determined the characteristics of positive cases throughout the period and implemented logistic regression of factors associated with death.
During the successive waves, 9, 573 positive cases were reported in the province, 546 cases in the first wave and 6, 346 in the fourth wave. Seven positive cases out of 10 concerned people aged 25 to 64. The districts of Matadi, Moanda and Mbanza-Ngungu were the most affected. Age above 64 [OR: 7.2 CI:5.1-10.3] and wave 2 [OR: 4.4 CI:1.6-12.4] were the factors statistically associated with death.
As in other African settings, age, comorbidities, higher socio-professional level and living in urban areas were the major risk factors for severe forms of the disease and death. Our analysis underlines the importance of collecting and analysing several epidemiological variables down to the provincial level over time for a better continuous knowledge of the situation.
刚果民主共和国（DRC）经历了严重急性呼吸综合征冠状病毒2（SARS-CoV-2）的广泛社区传播，并且在2020年3月至2022年3月期间记录了连续四波疫情。本研究的目的是确定中刚果省这些疫情波期间新冠病毒疾病（Covid-19）患者的社会人口学特征，并确定与死亡相关的因素。
这是一项对省级监测系统中Covid-19数据的横断面研究。数据包括流行病学监测数据﹑实验室数据（检测）﹑医院数据和患者随访数据。我们确定了整个期间阳性病例的特征，并对与死亡相关的因素进行了逻辑回归分析。
在连续的疫情波期间，该省报告了9573例阳性病例，第一波有546例，第四波有6346例。每10例阳性病例中有7例涉及25至64岁的人群。马塔迪﹑莫安达和姆班扎-恩贡古等地区受影响最大。64岁以上[比值比（OR）：7.2，可信区间（CI）：5.1-10.3]和第二波疫情[OR：4.4，CI：1.6-12.4]是与死亡有统计学关联的因素。
与其他非洲地区一样，年龄﹑合并症﹑较高的社会职业水平和居住在城市地区是该疾病严重形式和死亡的主要风险因素。我们的分析强调了随着时间的推移收集和分析直至省级层面的多个流行病学变量对于更好地持续了解疫情情况的重要性。
