G. Acheampong, I. Owusu, Fidelis Zumah, Ernest Akyereko, Rebecca A. Mpangah
{"title":"加纳中部地区流行性霍乱弧菌的回顾性研究;来自监测数据的证据","authors":"G. Acheampong, I. Owusu, Fidelis Zumah, Ernest Akyereko, Rebecca A. Mpangah","doi":"10.1101/2023.07.22.23293033","DOIUrl":null,"url":null,"abstract":"Background: In the Central region of Ghana, cases of cholera were detected in October 2016, in the Cape Coast Metropolis. The number of cases detected in the peri-urban communities rose exponentially indicating a high transmission potential of infections. We conducted a descriptive analysis of surveillance data of the 2016 cholera outbreak in the Central Region with the aim of describing the epidemiological features of the outbreak. Methods: A retrospective analysis of cholera cases between October and December 2016 was conducted using variables including date of onset of symptoms, age, sex, rapid diagnostic test (RDT) results and district of residence of cases. Cases were descriptively characterized in terms of time, place, and person, attack rates were computed, and an epidemic curve was constructed using the date of onset of symptoms of cases.Pearson chi-square/Fisher exact tests were used to determine associations among selected variables of cases. Results: A total of 731 cases of cholera were reported with an overall attack rate of 67 cases per 100,000 population; no fatalities were recorded. The epi-curve showed multiple progressive peaks denoting a propagated type of outbreak driven by person-to-person transmission of infections. The mean age was 23 years, with 40% of cases occurring in the age group 15-24 years. The difference between the number of cases for males and females was not significant (p-value = 0.619). Close to 90% of all cases were reported from the Cape Coast Metropolis. Abura-Asebu-Kwamankese (AAK) and Komenda-Edina-Eguafo Abirem (KEEA) had a combined number of 64 cases (10%). There was a significant association between RDT results and the bacterial culture test (p<0.001), as well as that between sex and final case classification (p=0.004). Conclusion: The cholera outbreak affected a total of 731 people, with the highest number of cases reported in the 15-24 year age group. The outbreak was driven by person-to-person transmission and contaminated food and water sources. Rampant open defecation, open roadside food and water vending, and poor personal hygiene practices including hand washing were identified as major risk factors. The Cape Coast Metropolis and the KEEA were the most affected with the highest number of cases and the highest attack rate. The outbreak was predominantly confirmed through rapid diagnostic tests and culture confirmation. Current and future development projects must be geared towards effective town planning and decongestion, provision of designated dumping sites, toilet facilities and more water treatment plants. It is also imperative that district health officials also explore the issues of poor health-seeking behavior and access to care as possible factors contributing to high morbidities. Keywords; Cholera, Cape Coast Metropolis, Attack rate, Retrospective analysis","PeriodicalId":91779,"journal":{"name":"OAlib","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Retrospective Study of an Epidemic Vibrio Cholerae in the Central Region of Ghana; An Evidence from Surveillance Data\",\"authors\":\"G. Acheampong, I. Owusu, Fidelis Zumah, Ernest Akyereko, Rebecca A. Mpangah\",\"doi\":\"10.1101/2023.07.22.23293033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: In the Central region of Ghana, cases of cholera were detected in October 2016, in the Cape Coast Metropolis. The number of cases detected in the peri-urban communities rose exponentially indicating a high transmission potential of infections. We conducted a descriptive analysis of surveillance data of the 2016 cholera outbreak in the Central Region with the aim of describing the epidemiological features of the outbreak. Methods: A retrospective analysis of cholera cases between October and December 2016 was conducted using variables including date of onset of symptoms, age, sex, rapid diagnostic test (RDT) results and district of residence of cases. Cases were descriptively characterized in terms of time, place, and person, attack rates were computed, and an epidemic curve was constructed using the date of onset of symptoms of cases.Pearson chi-square/Fisher exact tests were used to determine associations among selected variables of cases. Results: A total of 731 cases of cholera were reported with an overall attack rate of 67 cases per 100,000 population; no fatalities were recorded. The epi-curve showed multiple progressive peaks denoting a propagated type of outbreak driven by person-to-person transmission of infections. The mean age was 23 years, with 40% of cases occurring in the age group 15-24 years. The difference between the number of cases for males and females was not significant (p-value = 0.619). Close to 90% of all cases were reported from the Cape Coast Metropolis. Abura-Asebu-Kwamankese (AAK) and Komenda-Edina-Eguafo Abirem (KEEA) had a combined number of 64 cases (10%). There was a significant association between RDT results and the bacterial culture test (p<0.001), as well as that between sex and final case classification (p=0.004). Conclusion: The cholera outbreak affected a total of 731 people, with the highest number of cases reported in the 15-24 year age group. The outbreak was driven by person-to-person transmission and contaminated food and water sources. Rampant open defecation, open roadside food and water vending, and poor personal hygiene practices including hand washing were identified as major risk factors. The Cape Coast Metropolis and the KEEA were the most affected with the highest number of cases and the highest attack rate. The outbreak was predominantly confirmed through rapid diagnostic tests and culture confirmation. Current and future development projects must be geared towards effective town planning and decongestion, provision of designated dumping sites, toilet facilities and more water treatment plants. It is also imperative that district health officials also explore the issues of poor health-seeking behavior and access to care as possible factors contributing to high morbidities. 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引用次数: 0
摘要
背景:在加纳中部地区,2016年10月在开普海岸大都市发现霍乱病例。在城市周边社区发现的病例数量呈指数级增长,表明感染的传播潜力很高。我们对2016年中部地区霍乱疫情的监测数据进行了描述性分析,目的是描述疫情的流行病学特征。方法:对2016年10月至12月期间的霍乱病例进行回顾性分析,使用包括症状发作日期、年龄、性别、快速诊断测试(RDT)结果和病例居住地区在内的变量。根据时间、地点和人员对病例进行描述性描述,计算发病率,并使用病例症状发作日期构建流行病曲线。Pearson卡方/Fisher精确检验用于确定病例的选定变量之间的相关性。结果:共报告731例霍乱病例,总发病率为每10万人口67例;没有死亡记录。epi曲线显示出多个渐进性峰值,表示由人与人之间的感染传播驱动的传播型疫情。平均年龄为23岁,40%的病例发生在15-24岁年龄组。男性和女性的病例数差异不显著(p值=0.619)。近90%的病例来自开普海岸大都市。Abura Asebu Kwamankese(AAK)和Komenda Edina Eguafo Abirem(KEEA)的病例总数为64例(10%)。RDT结果与细菌培养试验之间存在显著相关性(p<0.001),性别与最终病例分类之间存在显著关联(p=0.004)。结论:霍乱疫情共影响731人,其中15-24岁年龄组的病例数最高。疫情是由人与人之间的传播以及受污染的食物和水源引起的。露天排便猖獗、路边露天食品和水贩卖以及包括洗手在内的不良个人卫生习惯被确定为主要风险因素。Cape Coast Metropolis和KEEA受影响最大,病例数和发病率最高。疫情主要通过快速诊断测试和培养确认得到确认。当前和未来的发展项目必须着眼于有效的城市规划和缓解拥堵,提供指定的倾倒场、厕所设施和更多的水处理厂。同样重要的是,地区卫生官员也必须探讨不良的健康寻求行为和获得护理的机会问题,这可能是导致高发病率的因素。关键词;霍乱,开普海岸大都市,发病率,回顾性分析
Retrospective Study of an Epidemic Vibrio Cholerae in the Central Region of Ghana; An Evidence from Surveillance Data
Background: In the Central region of Ghana, cases of cholera were detected in October 2016, in the Cape Coast Metropolis. The number of cases detected in the peri-urban communities rose exponentially indicating a high transmission potential of infections. We conducted a descriptive analysis of surveillance data of the 2016 cholera outbreak in the Central Region with the aim of describing the epidemiological features of the outbreak. Methods: A retrospective analysis of cholera cases between October and December 2016 was conducted using variables including date of onset of symptoms, age, sex, rapid diagnostic test (RDT) results and district of residence of cases. Cases were descriptively characterized in terms of time, place, and person, attack rates were computed, and an epidemic curve was constructed using the date of onset of symptoms of cases.Pearson chi-square/Fisher exact tests were used to determine associations among selected variables of cases. Results: A total of 731 cases of cholera were reported with an overall attack rate of 67 cases per 100,000 population; no fatalities were recorded. The epi-curve showed multiple progressive peaks denoting a propagated type of outbreak driven by person-to-person transmission of infections. The mean age was 23 years, with 40% of cases occurring in the age group 15-24 years. The difference between the number of cases for males and females was not significant (p-value = 0.619). Close to 90% of all cases were reported from the Cape Coast Metropolis. Abura-Asebu-Kwamankese (AAK) and Komenda-Edina-Eguafo Abirem (KEEA) had a combined number of 64 cases (10%). There was a significant association between RDT results and the bacterial culture test (p<0.001), as well as that between sex and final case classification (p=0.004). Conclusion: The cholera outbreak affected a total of 731 people, with the highest number of cases reported in the 15-24 year age group. The outbreak was driven by person-to-person transmission and contaminated food and water sources. Rampant open defecation, open roadside food and water vending, and poor personal hygiene practices including hand washing were identified as major risk factors. The Cape Coast Metropolis and the KEEA were the most affected with the highest number of cases and the highest attack rate. The outbreak was predominantly confirmed through rapid diagnostic tests and culture confirmation. Current and future development projects must be geared towards effective town planning and decongestion, provision of designated dumping sites, toilet facilities and more water treatment plants. It is also imperative that district health officials also explore the issues of poor health-seeking behavior and access to care as possible factors contributing to high morbidities. Keywords; Cholera, Cape Coast Metropolis, Attack rate, Retrospective analysis