加蓬COVID-19大流行期间的疟疾:中断时间序列(ITS)框架内自回归综合移动平均(ARIMA)模型在医院数据中的应用

IF 5.9 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Friederike Roeder, Olouyomi Scherif Adegnika, Yabo Josiane Honkpehedji, Manuel Huth, Bertrand Lell, Ayôla Akim Adegnika, Iris Lopes-Rafegas, Elisa Sicuri
{"title":"加蓬COVID-19大流行期间的疟疾:中断时间序列(ITS)框架内自回归综合移动平均(ARIMA)模型在医院数据中的应用","authors":"Friederike Roeder, Olouyomi Scherif Adegnika, Yabo Josiane Honkpehedji, Manuel Huth, Bertrand Lell, Ayôla Akim Adegnika, Iris Lopes-Rafegas, Elisa Sicuri","doi":"10.1093/ije/dyaf140","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Coinciding with the SARS-CoV-2 pandemic, malaria cases and malaria-related deaths increased globally between 2020 and 2022. However, evidence linking the pandemic to increased malaria burden remains ambiguous. We assessed the extent to which an observed malaria resurgence in Lambaréné, Gabon, can be associated with pandemic-related disruptions in malaria control programmes.</p><p><strong>Methods: </strong>Using observational data from two tertiary referral hospitals, spanning 2018 to early 2023, we applied autoregressive integrated moving average (ARIMA) models in an interrupted time series (ITS) framework to test for changes in trends and levels following the onset of the pandemic. The primary outcome is the monthly malaria diagnosis rate (per 1000 all-cause hospital diagnoses). As a sub-analysis, we focused on monthly maternal malaria incidence.</p><p><strong>Results: </strong>Following an initial drop (-47.32, P = 0.031), potentially due to risk-averse behaviours, the malaria diagnosis rate gradually and concavely increased (linear term: 7.32, P = 0.001; squared term: -0.19, P = 0.001) to a peak above pre-pandemic levels. Additional analyses suggest that this resurgence was likely driven by disruptions to malaria control activities and a waning efficacy of malaria control tools administered pre-pandemic. Conversely, a resurgence in maternal malaria incidence was not estimated.</p><p><strong>Conclusion: </strong>Findings align with several national and global descriptive reports, but add a more detailed understanding of underlying dynamics, therefore reinforcing the importance of maintaining malaria control in the general population. The absence of a meaningful increase in maternal malaria provides some reassurance that malaria in pregnancy-specific control remained unchanged during the SARS-CoV-2 pandemic. However, observed peaks in post-pandemic maternal malaria incidence should raise concerns given the risks that malaria poses to this group.</p>","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"54 5","pages":""},"PeriodicalIF":5.9000,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12417088/pdf/","citationCount":"0","resultStr":"{\"title\":\"Malaria amidst the COVID-19 pandemic in Gabon: an application of autoregressive integrated moving average (ARIMA) models within an interrupted time series (ITS) framework to hospital-based data.\",\"authors\":\"Friederike Roeder, Olouyomi Scherif Adegnika, Yabo Josiane Honkpehedji, Manuel Huth, Bertrand Lell, Ayôla Akim Adegnika, Iris Lopes-Rafegas, Elisa Sicuri\",\"doi\":\"10.1093/ije/dyaf140\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Coinciding with the SARS-CoV-2 pandemic, malaria cases and malaria-related deaths increased globally between 2020 and 2022. However, evidence linking the pandemic to increased malaria burden remains ambiguous. We assessed the extent to which an observed malaria resurgence in Lambaréné, Gabon, can be associated with pandemic-related disruptions in malaria control programmes.</p><p><strong>Methods: </strong>Using observational data from two tertiary referral hospitals, spanning 2018 to early 2023, we applied autoregressive integrated moving average (ARIMA) models in an interrupted time series (ITS) framework to test for changes in trends and levels following the onset of the pandemic. The primary outcome is the monthly malaria diagnosis rate (per 1000 all-cause hospital diagnoses). As a sub-analysis, we focused on monthly maternal malaria incidence.</p><p><strong>Results: </strong>Following an initial drop (-47.32, P = 0.031), potentially due to risk-averse behaviours, the malaria diagnosis rate gradually and concavely increased (linear term: 7.32, P = 0.001; squared term: -0.19, P = 0.001) to a peak above pre-pandemic levels. Additional analyses suggest that this resurgence was likely driven by disruptions to malaria control activities and a waning efficacy of malaria control tools administered pre-pandemic. Conversely, a resurgence in maternal malaria incidence was not estimated.</p><p><strong>Conclusion: </strong>Findings align with several national and global descriptive reports, but add a more detailed understanding of underlying dynamics, therefore reinforcing the importance of maintaining malaria control in the general population. The absence of a meaningful increase in maternal malaria provides some reassurance that malaria in pregnancy-specific control remained unchanged during the SARS-CoV-2 pandemic. However, observed peaks in post-pandemic maternal malaria incidence should raise concerns given the risks that malaria poses to this group.</p>\",\"PeriodicalId\":14147,\"journal\":{\"name\":\"International journal of epidemiology\",\"volume\":\"54 5\",\"pages\":\"\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2025-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12417088/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of epidemiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/ije/dyaf140\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ije/dyaf140","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

摘要

背景:与SARS-CoV-2大流行同时,2020年至2022年全球疟疾病例和疟疾相关死亡人数增加。然而,将大流行与疟疾负担增加联系起来的证据仍然不明确。我们评估了观察到的加蓬兰巴尼什省疟疾死灰复燃在多大程度上与疟疾控制方案因大流行而中断有关。方法:利用2018年至2023年初两家三级转诊医院的观测数据,我们在中断时间序列(ITS)框架中应用自回归综合移动平均(ARIMA)模型来测试大流行爆发后的趋势和水平变化。主要结果是每月疟疾诊断率(每1000个全因医院诊断)。作为一项亚分析,我们重点关注每月孕产妇疟疾发病率。结果:在最初下降(-47.32,P = 0.031)之后,可能是由于风险规避行为,疟疾诊断率逐渐和隐蔽地增加(线性项:7.32,P = 0.001;平方项:-0.19,P = 0.001),达到高于大流行前水平的峰值。其他分析表明,这种复苏可能是由于疟疾控制活动中断以及大流行前使用的疟疾控制工具效力减弱所致。相反,没有估计产妇疟疾发病率会再次上升。结论:研究结果与若干国家和全球描述性报告一致,但增加了对潜在动态的更详细了解,因此加强了在一般人群中保持疟疾控制的重要性。孕产妇疟疾没有出现有意义的增加,这在一定程度上保证了在SARS-CoV-2大流行期间,针对妊娠的疟疾控制保持不变。然而,鉴于疟疾对这一群体构成的风险,观察到的大流行后孕产妇疟疾发病率高峰应引起关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Malaria amidst the COVID-19 pandemic in Gabon: an application of autoregressive integrated moving average (ARIMA) models within an interrupted time series (ITS) framework to hospital-based data.

Background: Coinciding with the SARS-CoV-2 pandemic, malaria cases and malaria-related deaths increased globally between 2020 and 2022. However, evidence linking the pandemic to increased malaria burden remains ambiguous. We assessed the extent to which an observed malaria resurgence in Lambaréné, Gabon, can be associated with pandemic-related disruptions in malaria control programmes.

Methods: Using observational data from two tertiary referral hospitals, spanning 2018 to early 2023, we applied autoregressive integrated moving average (ARIMA) models in an interrupted time series (ITS) framework to test for changes in trends and levels following the onset of the pandemic. The primary outcome is the monthly malaria diagnosis rate (per 1000 all-cause hospital diagnoses). As a sub-analysis, we focused on monthly maternal malaria incidence.

Results: Following an initial drop (-47.32, P = 0.031), potentially due to risk-averse behaviours, the malaria diagnosis rate gradually and concavely increased (linear term: 7.32, P = 0.001; squared term: -0.19, P = 0.001) to a peak above pre-pandemic levels. Additional analyses suggest that this resurgence was likely driven by disruptions to malaria control activities and a waning efficacy of malaria control tools administered pre-pandemic. Conversely, a resurgence in maternal malaria incidence was not estimated.

Conclusion: Findings align with several national and global descriptive reports, but add a more detailed understanding of underlying dynamics, therefore reinforcing the importance of maintaining malaria control in the general population. The absence of a meaningful increase in maternal malaria provides some reassurance that malaria in pregnancy-specific control remained unchanged during the SARS-CoV-2 pandemic. However, observed peaks in post-pandemic maternal malaria incidence should raise concerns given the risks that malaria poses to this group.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International journal of epidemiology
International journal of epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
13.60
自引率
2.60%
发文量
226
审稿时长
3 months
期刊介绍: The International Journal of Epidemiology is a vital resource for individuals seeking to stay updated on the latest advancements and emerging trends in the field of epidemiology worldwide. The journal fosters communication among researchers, educators, and practitioners involved in the study, teaching, and application of epidemiology pertaining to both communicable and non-communicable diseases. It also includes research on health services and medical care. Furthermore, the journal presents new methodologies in epidemiology and statistics, catering to professionals working in social and preventive medicine. Published six times a year, the International Journal of Epidemiology provides a comprehensive platform for the analysis of data. Overall, this journal is an indispensable tool for staying informed and connected within the dynamic realm of epidemiology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信