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尼日利亚猴痘发病率和死亡率的时间序列建模与预测。

Time series modelling and forecasting of mpox incidence and mortality in Nigeria.

作者信息

Bakare Emmanuel Afolabi, Mogbojuri Oluwaseun Akinlo, Oniyelu Dolapo Oluwaseun, Abidemi Afeez, Daniel Deborah Oluwatobi, Olasupo Idowu Isaac, Osikoya Samuel Abidemi, Nwana Aaron Onyebuchi, Olorunfemi Ronke Dorcas, Olagbami Samson Oluwafemi

机构信息

International Centre for Applied Mathematical Modelling and Data Analytics, Federal University Oye-Ekiti, Ekiti State, Nigeria.

Department of Mathematics, Federal University Oye-Ekiti, Ekiti State, Nigeria.

出版信息

BMC Infect Dis. 2025 Jun 4;25(1):794. doi: 10.1186/s12879-025-11174-0.

DOI:10.1186/s12879-025-11174-0
PMID:40468189
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12139326/
Abstract

The World Health Organization (WHO) declared mpox a Public Health Emergency of International Concern (PHEIC) twice, in response to the global outbreak, first in May 2022 and again in August 2024, after a span of 2 years and 3 months. African countries continue to be a hotspot for the ongoing mpox outbreaks and Nigeria has contributed substantially in exporting the virus to other countries, highlighting the need for an in-depth analysis of outbreak patterns and forecasting to inform public health policy. This study used the Auto-Regressive Integrated Moving Average (ARIMA) model to perform a 14-month forecast of mpox cases and mortality in Nigeria using mpox monthly routine data. The data were split into two portions; 70% for training, used to estimate the parameters of the forecasting model and 30% for testing, used to evaluate the model's accuracy. Wavelet analysis was used to decompose the time series into its various frequency components, enabling a multi-resolution analysis of the data. The ARIMA model forecasted an average of 13 mpox cases per month and zero mortality over a 14-month period. The wavelet power spectrum revealed a strong annual cycle between June 2022 and June 2023. In order to sustain the forecasted downward trend in mpox cases in the coming months, it is essential that the National Mpox Technical Working Group (TWG) of Nigeria Centre for Disease Control and Prevention (NCDC) continue to coordinate scale up of vaccine coverage and improve surveillance especially in high risk area. The findings will ultimately improve focused interventions and knowledge of mpox outbreak patterns by guiding public health policy, allocating resources optimally, and preparing health systems for potential outbreaks.

摘要

世界卫生组织(WHO)针对全球疫情两次宣布猴痘为“国际关注的突发公共卫生事件”(PHEIC),首次是在2022年5月,时隔2年零3个月后,又于2024年8月再次宣布。非洲国家仍是当前猴痘疫情的热点地区,尼日利亚在将该病毒传播到其他国家方面起到了很大作用,这凸显了深入分析疫情模式和进行预测以为公共卫生政策提供信息的必要性。本研究使用自回归积分滑动平均(ARIMA)模型,利用尼日利亚猴痘月度常规数据对未来14个月的猴痘病例和死亡率进行预测。数据被分为两部分;70%用于训练,以估计预测模型的参数,30%用于测试,以评估模型的准确性。小波分析用于将时间序列分解为其不同的频率成分,从而能够对数据进行多分辨率分析。ARIMA模型预测在14个月期间平均每月有13例猴痘病例,且无死亡病例。小波功率谱显示在2022年6月至2023年6月之间存在强烈的年度周期。为了在未来几个月维持预测的猴痘病例下降趋势,尼日利亚疾病控制与预防中心(NCDC)的国家猴痘技术工作组(TWG)必须继续协调扩大疫苗接种覆盖率,并加强监测,尤其是在高风险地区。这些研究结果最终将通过指导公共卫生政策、优化资源分配以及为潜在疫情做好卫生系统准备,来改善针对性干预措施以及对猴痘疫情模式的了解。

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本文引用的文献

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