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尼日利亚黄热病流行病学:利用2017 - 2023年国家监测数据对疑似病例中与病毒阳性相关的气候、生态、社会人口学和临床因素进行分析

Epidemiology of Yellow Fever in Nigeria: Analysis of Climatic, Ecological, Socio-Demographic, and Clinical Factors Associated with Viral Positivity Among Suspected Cases Using National Surveillance Data, 2017-2023.

作者信息

Akar Stephen Eghelakpo, Nwachukwu William, Adewuyi Oludare Sunbo, Ahumibe Anthony Agbakizua, Akanimo Iniobong, Okunromade Oyeladun, Babatunde Olajumoke, Ihekweazu Chikwe, Hitachi Mami, Kato Kentaro, Takamatsu Yuki, Hirayama Kenji, Kaneko Satoshi

机构信息

Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan.

Department of Eco-Epidemiology, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.

出版信息

J Epidemiol Glob Health. 2025 Jan 20;15(1):2. doi: 10.1007/s44197-025-00341-w.

Abstract

BACKGROUND

Since its resurgence in 2017, Yellow fever (YF) outbreaks have continued to occur in Nigeria despite routine immunization and the implementation of several reactive mass vaccinations. Nigeria, Africa's most populous endemic country, is considered a high-priority country for implementing the End Yellow fever Epidemics strategy.

METHODS

This retrospective analysis described the epidemiological profile, trends, and factors associated with Yellow fever viral positivity in Nigeria. We conducted a multivariable binary logistic regression analysis to identify factors associated with YF viral positivity.

RESULTS

Of 16,777 suspected cases, 8532(50.9%) had laboratory confirmation with an overall positivity rate of 6.9%(585). Predictors of YFV positivity were the Jos Plateau, Derived/Guinea Savanah, and the Freshwater/Lowland rainforest compared to the Sahel/Sudan Savannah; dry season compared to rainy season; the hot dry or humid compared to the temperate, dry cool/humid climatic zone; 2019, 2020, 2021, 2022, and 2023 epidemic years compared to compared to 2017; first, third, and fourth quarters compared to the second; male sex compared to female; age group > = 15 years compared to < 15 years; working in outdoor compared to indoor settings; having traveled within the last two weeks; being of unknown vaccination status compared to being vaccinated; and vomiting.

CONCLUSION

Ecological, climatic, and socio-demographic characteristics are drivers of YF outbreaks in Nigeria, and public health interventions need to target these factors to halt local epidemics and reduce the risk of international spread. Inadequate vaccination coverage alone may not account for the recurrent outbreaks of YF in Nigeria.

摘要

背景

自2017年黄热病疫情再次出现以来,尽管尼日利亚开展了常规免疫接种并实施了多次应急大规模疫苗接种,但黄热病疫情仍持续发生。尼日利亚是非洲人口最多的黄热病流行国家,被视为实施“终结黄热病流行”战略的重点国家。

方法

本回顾性分析描述了尼日利亚黄热病病毒阳性的流行病学特征、趋势及相关因素。我们进行了多变量二元逻辑回归分析,以确定与黄热病病毒阳性相关的因素。

结果

在16777例疑似病例中,8532例(50.9%)经实验室确诊,总体阳性率为6.9%(585例)。与萨赫勒/苏丹草原相比,乔斯高原、衍生/几内亚草原以及淡水/低地雨林地区是黄热病病毒阳性的预测因素;与雨季相比,旱季是预测因素;与温带、干冷/湿润气候区相比,炎热干燥或湿润气候区是预测因素;与2017年相比,2019年、2020年、2021年、2022年和2023年为疫情年份;与第二季度相比,第一、第三和第四季度是预测因素;男性与女性相比;年龄≥15岁与<15岁相比;在户外工作与在室内工作相比;在过去两周内有过旅行;疫苗接种状况未知与已接种疫苗相比;以及呕吐。

结论

生态、气候和社会人口学特征是尼日利亚黄热病疫情的驱动因素,公共卫生干预措施需要针对这些因素,以阻止当地疫情并降低国际传播风险。仅疫苗接种覆盖率不足可能无法解释尼日利亚黄热病疫情的反复爆发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ed3/11747028/f6ae8b86798b/44197_2025_341_Fig1_HTML.jpg

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