Forecasting the prevalence of epilepsy in low- and middle-income countries to 2050 using a hybrid deep neural network-transformer modeling framework: insights from the Global Burden of Disease Study 2023.

IF 29 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Military Medical Research Pub Date : 2026-01-01 Epub Date: 2026-07-23 DOI:10.1016/j.mmr.2026.100055
Zhi-Jin Zhang, Hao-Feng Wang, Yu-Sha Cui, Shi-Nuan Lin, Han Jiao, Fan-Gang Meng, Tao Feng
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引用次数: 0

Abstract

Background: Epilepsy is a major public health challenge affecting individuals of all ages, especially in low- and middle-income countries (LMICs). Reliable prevalence projections are critical for healthcare planning and resource allocation. This study aimed to forecast the prevalence of epilepsy and its trends in LMICs by age, sex, year, and income level by 2050.

Methods: Using data from the Global Burden of Disease Study (GBD) 2023, we projected the prevalence and number of idiopathic and secondary epilepsy cases in LMICs from 2024 to 2050. We developed a hybrid deep neural network (DNN)-Transformer framework that integrates Poisson regression and Autoregressive Integrated Moving Average (ARIMA) models for prevalence projection. Decomposition analysis was applied to quantify the contributions of population growth, aging, and prevalence change to the increase in epilepsy cases. Dementia-attributable epilepsy was independently projected to address secondary causes not included in GBD 2023.

Results: By 2050, the age-standardized prevalence rate (ASPR) of epilepsy in LMICs was projected to reach 907.22 per 100,000 [95% uncertainty interval (UI) 731.01-1083.56], a 33.32% increase from 2023, with cases rising to 72.04 million (95% UI 57.86-86.23), a 58.68% increase. The ASPRs of idiopathic and secondary epilepsy were estimated at 323.11 and 584.10 per 100,000 in 2050, respectively, with the increase in secondary epilepsy being more than 7-fold that of idiopathic epilepsy since 2023. The ASPR of secondary epilepsy due to neonatal disorders was projected to rise by 65.76%. Model validation demonstrated good predictive performance (root mean squared error <0.001). From 2023 to 2050, the increases in idiopathic and secondary epilepsy cases were forecast to be highest in low-income countries (LICs; 76.12% and 241.50%, respectively), with growth declining as income levels increased. Population growth (21.40%) primarily drove the increase in idiopathic epilepsy cases, whereas changes in prevalence (59.89%) predominantly drove the rise in secondary epilepsy cases. Dementia-attributable secondary epilepsy was projected to reach 3.40 million cases by 2050.

Conclusions: We forecast a continuous increase in the prevalence and number of epilepsy cases in LMICs through 2050, with secondary epilepsy increasing more rapidly than idiopathic epilepsy. LICs may exhibit the greatest increases over the next three decades, necessitating targeted interventions and further investigation.

使用混合深度神经网络-变压器建模框架预测到2050年中低收入国家癫痫患病率:来自2023年全球疾病负担研究的见解
背景:癫痫是影响所有年龄段个体的主要公共卫生挑战,特别是在低收入和中等收入国家。可靠的流行率预测对保健规划和资源分配至关重要。本研究旨在预测到2050年按年龄、性别、年份和收入水平划分的中低收入国家癫痫患病率及其趋势。方法:利用全球疾病负担研究(GBD) 2023的数据,预测2024年至2050年中低收入国家特发性和继发性癫痫病例的患病率和数量。我们开发了一个混合深度神经网络(DNN)-Transformer框架,该框架集成了泊松回归和自回归综合移动平均(ARIMA)模型,用于患病率预测。采用分解分析量化人口增长、老龄化和患病率变化对癫痫病例增加的贡献。痴呆归因癫痫被独立预测用于解决GBD 2023中未包括的继发性原因。结果:预计到2050年,中低收入国家癫痫年龄标准化患病率(ASPR)为907.22 / 10万[95%不确定区间(UI) 731.01-1083.56],较2023年增长33.32%,病例数为7204万(95% UI 57.86-86.23),增长58.68%。2050年,特发性和继发性癫痫的aspr分别为323.11 / 10万和584.10 / 10万,自2023年以来,继发性癫痫的增幅是特发性癫痫的7倍多。新生儿疾病继发性癫痫的ASPR预计将上升65.76%。结论:我们预测,到2050年,中低收入国家的癫痫患病率和数量将持续增加,继发性癫痫的增长速度要快于特发性癫痫。低收入国家在未来30年可能会出现最大的增长,因此需要有针对性的干预措施和进一步的调查。
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来源期刊
Military Medical Research
Military Medical Research Medicine-General Medicine
CiteScore
38.40
自引率
2.80%
发文量
485
审稿时长
8 weeks
期刊介绍: Military Medical Research is an open-access, peer-reviewed journal that aims to share the most up-to-date evidence and innovative discoveries in a wide range of fields, including basic and clinical sciences, translational research, precision medicine, emerging interdisciplinary subjects, and advanced technologies. Our primary focus is on modern military medicine; however, we also encourage submissions from other related areas. This includes, but is not limited to, basic medical research with the potential for translation into practice, as well as clinical research that could impact medical care both in times of warfare and during peacetime military operations.
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