Tasew Geremew, Abdella Saro, Bejiga Birra, Ayalew Jemal, Tessema Masresha, Bati Feyiso, Ali Abraham, Negash Legesse, Birru Enyew, Tollera Getachew, Ahmed Mohammad, Tayachew Adamu, Nigussie Dereje, Binkley Laura, Balada-Llasat Joan-Miqel, Wang Shu-Ha, Lisanwork Leuel, Mekuria Zelalem H, Moges Hiwot, Barekye Bernard, Loembe Marguerite Massinga, Aziz Mohamed Abdul, Ejeta Eshetu, Kassim Faiqa, Gebreyes Wondwossen, Gebeyehu Abebaw, Tadsse Lia, Duguma Dereje, Yimer Getnet, Williams Desmond E
Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Department of Statistics, Wollo University, Dessie, Ethiopia.
PLoS One. 2025 May 6;20(5):e0313791. doi: 10.1371/journal.pone.0313791. eCollection 2025.
SARS-CoV-2 pandemic has caused a continuing health crisis affecting the public health system globally. Population-based serological surveys are a highly valuable and recommended method to measure population exposure and spread of pandemic, given the existence of asymptomatic cases and little access to diagnostic testing. This national population-based study aims to estimate the seroprevalence of SARS-CoV-2 infection in all parts of Ethiopia and determine potential risk factors and burden of infection.
A nationwide seroprevalence survey was done among 12,756 households (HHs) across the country using three-stage stratified sampling technique from April 15, 2021 to May 16, 2021 among population of Ethiopia above 15 years of age. One member of each of the selected HHs, who fulfilled the eligibility criteria, was randomly selected. We captured data using interviews and finger prick blood samples to test for anti-SARS-CoV-2 antibodies using high specificity rapid diagnostic tests (RDTs). A questionnaire was used to capture all necessary data on demographics, social exposure, and history of vaccination for SARS-CoV-2, symptoms compatible with SARS-CoV-2, and any known medical conditions. The data were collected using an open data kits (ODK) software and imported into STATA version 17 for analysis. Descriptive statistics (frequencies and proportions) were used to summarize data on the study variables. Forest plots and maps were used to visualize the seroprevalence of SARS-CoV-2 across various individual and environmental factors. The study sample was weighted, and the survey set command in Stata (svy) was used in the analyses to account for the survey design. Adjusted Odd ratio (AOR) was used to determine higher risk factors of having been infected at least once, 95% confidence interval to assess precision of the estimates, and a P value ≤ 0.05 to determine statistically significant.
This study indicated the overall national prevalence of seropositivity was 9.3% that suggests nearly one in ten individuals in Ethiopia was exposed to SARS-CoV-2 infection by May 2021. All regional states in the country are affected with SARS-CoV-2 infection although infection was more common in densely populated regions. Seroprevalence was significantly higher among, individual, aged 35-44, 55-64 and 65 and over years had more odds of being infected by SARS-CoV-2 compared with those aged 15-24 years. The seroprevalence is also high among professional/technical occupations, and among those having at least one comorbidity. The participants who had seven and more members had higher odds of infection compared with those who had two or less members. The odds of infection among respondents, who reported having ever tested for COVID-19 and being sick since March 2020, were higher compared with their counterparts. Among the environmental factors, the odds of SARS-CoV-2 infection in urban residents were higher than in the rural setting. In relation to geographic administration boundaries, participants from Harari Region, Addis Ababa, and Benishangul Gumuz had higher odds of infection compared to those from Afar Regions respective.
This study reveals the overall seroprevalence of SARS CoV-2 antibodies in Ethiopia was 10.0% as of May 2021. The seroprevalence of IgG antibodies against COVID-19 is higher than that of IgM antibodies, indicating a past infection. SARS-CoV-2 antibody seroprevalence was varied by regional state, sex, residence area, age, and occupational status. It also suggests that the majority of Ethiopia's have inadequate knowledge of understanding about SARS-CoV-2 antibodies, we recommend strengthening public health and social measures to mitigate the spread of COVID-19 diseases, including increased vaccination coverage and testing capability. All responsible authorities and stakeholders working locally, nationally, and globally need to support strengthening health systems and be prepared to combat morbidity and mortality and to encourage ongoing vaccination efforts. Periodic seroprevalence surveys will aid in monitoring the status and progress of the COVID-19 pandemic.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)大流行引发了持续的健康危机,影响着全球公共卫生系统。鉴于存在无症状病例且难以获得诊断检测,基于人群的血清学调查是衡量大流行期间人群暴露情况和传播的一种非常有价值且被推荐的方法。这项基于全国人群的研究旨在估计埃塞俄比亚各地SARS-CoV-2感染的血清流行率,并确定潜在风险因素和感染负担。
2021年4月15日至2021年5月16日,在埃塞俄比亚全国12756户家庭中,采用三阶段分层抽样技术,对15岁以上人群进行了全国血清流行率调查。从符合资格标准的每个选定家庭中随机选择一名成员。我们通过访谈和手指刺血样本收集数据,使用高特异性快速诊断测试(RDT)检测抗SARS-CoV-2抗体。使用问卷收集关于人口统计学、社会暴露、SARS-CoV-2疫苗接种史、与SARS-CoV-2相符的症状以及任何已知医疗状况的所有必要数据。数据使用开放数据工具包(ODK)软件收集,并导入STATA 17版本进行分析。描述性统计(频率和比例)用于总结研究变量的数据。森林图和地图用于直观展示不同个体和环境因素下SARS-CoV-2的血清流行率。对研究样本进行加权,并在分析中使用Stata中的调查集命令(svy)来考虑调查设计。调整后的比值比(AOR)用于确定至少感染过一次的较高风险因素,95%置信区间用于评估估计的精度,P值≤0.05用于确定统计学显著性。
本研究表明,全国血清阳性的总体流行率为9.3%,这表明截至2021年5月,埃塞俄比亚近十分之一的人接触过SARS-CoV-2感染。该国所有地区都受到SARS-CoV-2感染的影响,尽管感染在人口密集地区更为常见。在35 - 44岁、55 - 64岁以及65岁及以上的个体中,血清流行率显著高于15 - 24岁的个体,这些年龄段的人感染SARS-CoV-2的几率更高。在专业/技术职业人群以及至少患有一种合并症的人群中,血清流行率也较高。家庭成员有7人及以上的参与者感染几率高于家庭成员为2人及以下的参与者。报告自2020年3月以来曾接受过COVID-19检测且生病的受访者感染几率高于未接受检测且未生病人员。在环境因素方面,城市居民感染SARS-CoV-2的几率高于农村地区。就地理行政边界而言,与阿法尔地区的参与者相比,来自哈勒尔地区、亚的斯亚贝巴和本尚古勒-古穆兹的参与者感染几率更高。
本研究显示,截至2021年5月,埃塞俄比亚SARS-CoV-2抗体的总体血清流行率为10.0%。针对COVID-19的IgG抗体血清流行率高于IgM抗体,表明是既往感染。SARS-CoV-2抗体血清流行率因地区、性别、居住地区、年龄和职业状况而异。这也表明埃塞俄比亚大多数人对SARS-CoV-2抗体的了解不足,我们建议加强公共卫生和社会措施以减轻COVID-19疾病的传播,包括提高疫苗接种覆盖率和检测能力。所有在地方、国家和全球层面工作的责任当局和利益相关者需要支持加强卫生系统,并准备好应对发病率和死亡率问题,鼓励持续的疫苗接种工作。定期进行血清流行率调查将有助于监测COVID-19大流行的状况和进展。