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

AKAR, STEPHEN EGHELAKPO

doi:10.1007/s44197-025-00341-w

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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

http://hdl.handle.net/10069/0002002619

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ISYK1713_AKAR.pdf (2.4 MB)

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学位論文 / Thesis or Dissertation(1)

公開日

2025-07-11

タイトル

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

言語

eng

キーワード

言語

主題Scheme

Other

主題

Yellow fever

キーワード

言語

主題Scheme

Other

主題

Epidemiological profile

キーワード

言語

主題Scheme

Other

主題

Factors associated

キーワード

言語

主題Scheme

Other

主題

Vaccination

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http://purl.org/coar/resource_type/c_db06

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doctoral thesis

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open access

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http://purl.org/coar/access_right/c_abf2

著者

AKAR, STEPHEN EGHELAKPO

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内容記述タイプ

Abstract

内容記述

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.

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長崎大学学位論文学位記番号:博(医歯薬)甲第1713号学位授与年月日:令和7年6月4日

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

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Citation: Journal of Epidemiology and Global Health, 15, art. no. 2; 2025

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書誌情報

en : Journal of Epidemiology and Global Health

巻 15, p. art. no. 2, 発行日 2025-06-04

ISSN

収録物識別子タイプ

EISSN

収録物識別子

2210-6014

DOI

関連識別子

10.1007/s44197-025-00341-w

権利

権利情報

© The Author(s) 2025. This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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VoR

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http://purl.org/coar/version/c_970fb48d4fbd8a85

その他のタイトル

ナイジェリアにおける黄熱の疫学：2017～2023年の全国サーベイランスデータを用いた感染疑い例におけるウイルス陽性に関連する気候的、生態学的、社会人口統計学的、臨床的要因の分析

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出版者

Springer Nature

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関係URI

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HDL

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2025-07-11 01:08:37.376905

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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

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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

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