Attack Rate, Case Fatality Rate and Predictors of Pertussis Outbreak During Pertussis Outbreak Investigation in Ethiopia: Systematic Review and Meta-Analysis.

IF 3.8 4区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Journal of Epidemiology and Global Health Pub Date : 2024-06-01 Epub Date: 2024-05-15 DOI:10.1007/s44197-024-00234-4
Mengistie Kassahun Tariku, Abebe Habtamu Belete, Daniel Tarekegn Worede, Simachew Animen Bante, Agumas Alemu Alehegn, Biniam Kebede Assen, Bantayehu Addis Tegegne, Sewnet Wongiel Misikir
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Abstract

Background: Pertussis, a highly contagious, vaccine-preventable respiratory infection caused by Bordetella pertussis, is a leading global public health issue. Ethiopia is currently conducting multiple pertussis outbreak investigations, but there is a lack of comprehensive information on attack rate, case fatality rate, and infection predictors. This study aimed to measure attack rates, case fatality rates, and factors associated with pertussis outbreak.

Methods: This study conducted a systematic review and meta-analysis of published and unpublished studies on pertussis outbreaks in Ethiopia from 2009 to 2023, using observational study designs, using the guideline Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The study utilized databases like Science Direct, MEDLINE/PubMed, African Journals Online, Google Scholar and registers. The data were collected using an Excel Spreadsheet and then exported to STATA version 17 for analysis. Subgroup analysis was conducted to identify potential disparities. A random effects model was used to consider heterogeneity among studies. I2-squared test statistics were used to assess heterogeneity. The attack rate, case fatality rate, and odds ratio (OR) were presented using forest plots with a 95% confidence interval. Egger's and Begg's tests were used to evaluate the publication bias.

Results: Seven pertussis outbreak investigations with a total of 2824 cases and 18 deaths were incorporated. The pooled attack and case fatality rates were 10.78 (95% CI: 8.1-13.5) per 1000 population and 0.8% (95% CI: 0.01-1.58%), respectively. The highest and lowest attack rates were in Oromia (5.57 per 1000 population and in the Amhara region (2.61 per 1000 population), respectively. Predictor of pertussis outbreak were being unvaccinated [odds ratio (OR) = 3.05, 95% CI: 1.83-4.27] and contact history [OR = 3.44, 95% CI: 1.69-5.19].

Conclusion: Higher and notable variations in attack and case fatality rates were reported. Being unvaccinated and having contact history were the predictors of contracting pertussis disease in Ethiopia. Enhancing routine vaccination and contact tracing efforts should be strengthened.

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埃塞俄比亚百日咳疫情调查期间的发病率、病死率和百日咳疫情预测因素:系统回顾与元分析。
背景:百日咳是由百日咳杆菌引起的一种可通过疫苗预防的高传染性呼吸道传染病,是全球主要的公共卫生问题。埃塞俄比亚目前正在开展多项百日咳疫情调查,但缺乏有关发病率、病死率和感染预测因素的全面信息。本研究旨在衡量百日咳疫情的发病率、病死率和相关因素:本研究对 2009 年至 2023 年埃塞俄比亚百日咳爆发的已发表和未发表研究进行了系统回顾和荟萃分析,采用观察性研究设计,并使用系统回顾和荟萃分析首选报告项目(PRISMA)指南。研究利用了 Science Direct、MEDLINE/PubMed、African Journals Online、Google Scholar 和登记簿等数据库。数据使用 Excel 电子表格收集,然后导出到 STATA 17 版进行分析。进行了分组分析,以确定潜在的差异。随机效应模型用于考虑研究之间的异质性。I2 平方检验统计用于评估异质性。发病率、病死率和几率比(OR)采用森林图显示,置信区间为 95%。Egger检验和Begg检验用于评估发表偏倚:结果:纳入了七项百日咳疫情调查,共发现 2824 例病例和 18 例死亡病例。汇总的发病率和病死率分别为每千人 10.78 例(95% CI:8.1-13.5 例)和 0.8%(95% CI:0.01-1.58%)。发病率最高和最低的地区分别是奥罗莫地区(每千人 5.57 例)和阿姆哈拉地区(每千人 2.61 例)。预测百日咳爆发的因素是未接种疫苗[几率比(OR)=3.05,95% CI:1.83-4.27]和接触史[OR=3.44,95% CI:1.69-5.19]:据报告,发病率和病死率的差异较大且明显。在埃塞俄比亚,未接种疫苗和有接触史是感染百日咳疾病的预测因素。应加强常规疫苗接种和接触追踪工作。
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来源期刊
CiteScore
10.70
自引率
1.40%
发文量
57
审稿时长
19 weeks
期刊介绍: The Journal of Epidemiology and Global Health is an esteemed international publication, offering a platform for peer-reviewed articles that drive advancements in global epidemiology and international health. Our mission is to shape global health policy by showcasing cutting-edge scholarship and innovative strategies.
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