{"title":"揭示2023年埃塞俄比亚奥罗米亚州东谢瓦Metahara镇登革热动态","authors":"Bikila Negesa Gobena, Teshome Kabeta Dadi, Gemechu Chemeda Feyisa, Birhanu Kenate, Gemechu Shumi, Fantahun Workie, Haimanot Workie, Ebise Djirata, Dabesa Gobena","doi":"10.1371/journal.pntd.0012908","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Since 2013, dengue cases have shown a marked increase in Ethiopia. The current suspected outbreak occurring in Metahara town, Oromia Regional State, began in July 2023. This study aimed to confirm and characterize the outbreak, identify risk factors, and implement control measures.</p><p><strong>Methods: </strong>We conducted a descriptive study and an unmatched case-control design, using a one-to-two ratio of cases to controls. We collected data on the dengue outbreak using line lists, laboratory test results, environmental observations, home visits, and entomological examinations. We selected a total of 50 cases using simple random sampling from the line list and purposively chose 100 controls from the same block. We applied community-based face-to-face interviews with 150 participants. After gathering data through Kobo Collect, we analyzed it using Statistical Package for the Social Sciences (SPSS) version 26 and summarized the findings in Microsoft Excel 2013. A binary logistic regression model was employed to identify significant variables, with p-values ≤ 0.25 in bivariate analysis considered for the final model. Crude and adjusted odds ratios (OR and AOR) were used to measure associations, with p-values ≤ 0.05 indicating significance.</p><p><strong>Results: </strong>The investigation confirmed 342 dengue cases, corresponding to an attack rate of 7.1 per 1,000 population and a case fatality rate of 0.88%. Significant risk factors included not using long-lasting insecticide nets during the daytime (9-fold increased likelihood) and having open water containers (5-fold increased likelihood. Respondents lacking disease awareness were 25 times more likely to be infected, while wearing long-sleeved clothing conferred a protective effect of 75% reduction in risk.</p><p><strong>Conclusion: </strong>The dengue outbreak in Metahara town was driven by epidemiological, entomological, and environmental factors, with Aedes aegypti as the primary vector. The ongoing circulation of DENV-3, coupled with insufficient vector control measures, poses a serious public health threat. Key contributing factors to the outbreak include the lack of utilization of long-lasting insecticide nets (LLINs) during the daytime, improper water storage practices, insufficient public knowledge regarding transmission and prevention strategies, and inadequate protective clothing choices that increase vulnerability to mosquito bites. Strategies including vector control, community education, promotion of protective clothing, and improved surveillance were recommended.</p>","PeriodicalId":49000,"journal":{"name":"PLoS Neglected Tropical Diseases","volume":"19 3","pages":"e0012908"},"PeriodicalIF":3.4000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11957386/pdf/","citationCount":"0","resultStr":"{\"title\":\"Unraveling the dynamics of dengue in Metahara town, East Shewa, Oromia, Ethiopia, 2023.\",\"authors\":\"Bikila Negesa Gobena, Teshome Kabeta Dadi, Gemechu Chemeda Feyisa, Birhanu Kenate, Gemechu Shumi, Fantahun Workie, Haimanot Workie, Ebise Djirata, Dabesa Gobena\",\"doi\":\"10.1371/journal.pntd.0012908\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Since 2013, dengue cases have shown a marked increase in Ethiopia. The current suspected outbreak occurring in Metahara town, Oromia Regional State, began in July 2023. This study aimed to confirm and characterize the outbreak, identify risk factors, and implement control measures.</p><p><strong>Methods: </strong>We conducted a descriptive study and an unmatched case-control design, using a one-to-two ratio of cases to controls. We collected data on the dengue outbreak using line lists, laboratory test results, environmental observations, home visits, and entomological examinations. We selected a total of 50 cases using simple random sampling from the line list and purposively chose 100 controls from the same block. We applied community-based face-to-face interviews with 150 participants. After gathering data through Kobo Collect, we analyzed it using Statistical Package for the Social Sciences (SPSS) version 26 and summarized the findings in Microsoft Excel 2013. A binary logistic regression model was employed to identify significant variables, with p-values ≤ 0.25 in bivariate analysis considered for the final model. Crude and adjusted odds ratios (OR and AOR) were used to measure associations, with p-values ≤ 0.05 indicating significance.</p><p><strong>Results: </strong>The investigation confirmed 342 dengue cases, corresponding to an attack rate of 7.1 per 1,000 population and a case fatality rate of 0.88%. Significant risk factors included not using long-lasting insecticide nets during the daytime (9-fold increased likelihood) and having open water containers (5-fold increased likelihood. Respondents lacking disease awareness were 25 times more likely to be infected, while wearing long-sleeved clothing conferred a protective effect of 75% reduction in risk.</p><p><strong>Conclusion: </strong>The dengue outbreak in Metahara town was driven by epidemiological, entomological, and environmental factors, with Aedes aegypti as the primary vector. The ongoing circulation of DENV-3, coupled with insufficient vector control measures, poses a serious public health threat. Key contributing factors to the outbreak include the lack of utilization of long-lasting insecticide nets (LLINs) during the daytime, improper water storage practices, insufficient public knowledge regarding transmission and prevention strategies, and inadequate protective clothing choices that increase vulnerability to mosquito bites. 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引用次数: 0
摘要
背景:自2013年以来,埃塞俄比亚登革热病例显著增加。目前在奥罗米亚地区州梅塔哈拉镇发生的疑似疫情始于2023年7月。本研究旨在确认和描述疫情,确定危险因素,并实施控制措施。方法:我们进行了一项描述性研究和一项无与伦比的病例对照设计,采用一比二的病例与对照比例。我们使用线路清单、实验室检测结果、环境观察、家访和昆虫学检查收集登革热暴发数据。我们采用简单随机抽样的方法从行列表中选择了总共50例病例,并有目的地从同一块中选择了100例对照。我们对150名参与者进行了基于社区的面对面访谈。通过Kobo Collect收集数据后,我们使用SPSS (Statistical Package for Social Sciences) version 26进行分析,并在Microsoft Excel 2013中进行总结。采用二元逻辑回归模型识别显著变量,考虑二元分析中的p值≤0.25作为最终模型。采用粗比值比和校正比值比(OR和AOR)衡量相关性,p值≤0.05表示显著性。结果:调查确认登革热病例342例,发病率为7.1 / 1000,病死率为0.88%。重要的风险因素包括白天不使用长效杀虫剂蚊帐(可能性增加9倍)和使用开放式水容器(可能性增加5倍)。缺乏疾病意识的应答者被感染的可能性是其他人的25倍,而穿着长袖衣服可以将风险降低75%。结论:梅塔哈拉镇登革热疫情受流行病学、昆虫学和环境因素驱动,埃及伊蚊为主要媒介。DENV-3的持续传播,加上病媒控制措施不足,构成了严重的公共卫生威胁。造成疫情的主要因素包括:白天没有使用长效驱虫蚊帐、不适当的储水做法、公众对传播和预防战略的认识不足,以及防护服选择不当,这些都增加了易受蚊虫叮咬的风险。建议采取包括病媒控制、社区教育、推广防护服和改进监测在内的战略。
Unraveling the dynamics of dengue in Metahara town, East Shewa, Oromia, Ethiopia, 2023.
Background: Since 2013, dengue cases have shown a marked increase in Ethiopia. The current suspected outbreak occurring in Metahara town, Oromia Regional State, began in July 2023. This study aimed to confirm and characterize the outbreak, identify risk factors, and implement control measures.
Methods: We conducted a descriptive study and an unmatched case-control design, using a one-to-two ratio of cases to controls. We collected data on the dengue outbreak using line lists, laboratory test results, environmental observations, home visits, and entomological examinations. We selected a total of 50 cases using simple random sampling from the line list and purposively chose 100 controls from the same block. We applied community-based face-to-face interviews with 150 participants. After gathering data through Kobo Collect, we analyzed it using Statistical Package for the Social Sciences (SPSS) version 26 and summarized the findings in Microsoft Excel 2013. A binary logistic regression model was employed to identify significant variables, with p-values ≤ 0.25 in bivariate analysis considered for the final model. Crude and adjusted odds ratios (OR and AOR) were used to measure associations, with p-values ≤ 0.05 indicating significance.
Results: The investigation confirmed 342 dengue cases, corresponding to an attack rate of 7.1 per 1,000 population and a case fatality rate of 0.88%. Significant risk factors included not using long-lasting insecticide nets during the daytime (9-fold increased likelihood) and having open water containers (5-fold increased likelihood. Respondents lacking disease awareness were 25 times more likely to be infected, while wearing long-sleeved clothing conferred a protective effect of 75% reduction in risk.
Conclusion: The dengue outbreak in Metahara town was driven by epidemiological, entomological, and environmental factors, with Aedes aegypti as the primary vector. The ongoing circulation of DENV-3, coupled with insufficient vector control measures, poses a serious public health threat. Key contributing factors to the outbreak include the lack of utilization of long-lasting insecticide nets (LLINs) during the daytime, improper water storage practices, insufficient public knowledge regarding transmission and prevention strategies, and inadequate protective clothing choices that increase vulnerability to mosquito bites. Strategies including vector control, community education, promotion of protective clothing, and improved surveillance were recommended.
期刊介绍:
PLOS Neglected Tropical Diseases publishes research devoted to the pathology, epidemiology, prevention, treatment and control of the neglected tropical diseases (NTDs), as well as relevant public policy.
The NTDs are defined as a group of poverty-promoting chronic infectious diseases, which primarily occur in rural areas and poor urban areas of low-income and middle-income countries. Their impact on child health and development, pregnancy, and worker productivity, as well as their stigmatizing features limit economic stability.
All aspects of these diseases are considered, including:
Pathogenesis
Clinical features
Pharmacology and treatment
Diagnosis
Epidemiology
Vector biology
Vaccinology and prevention
Demographic, ecological and social determinants
Public health and policy aspects (including cost-effectiveness analyses).