ORIGINAL RESEARCH article

Front. Public Health

Sec. Infectious Diseases: Epidemiology and Prevention

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1416273

This article is part of the Research TopicSARS-CoV-2 Vaccines Beyond the Pandemic EraView all 30 articles

Deep Learning Analysis of Long COVID and Vaccine Impact in low-and middleincome countries (LMICs): Development of a Risk Calculator in a Multicentric Study

Provisionally accepted
  • 1Alexandria University, Alexandria, Egypt
  • 2Center for Psychosis Research, University of Social Welfare and Rehabilitation Sciences, Tehran, Alborz, Iran
  • 3University of South Florida, Tampa, Florida, United States

The final, formatted version of the article will be published soon.

Background: Coronavirus disease 2019 , caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a global pandemic affecting millions worldwide. This study aims to bridge the knowledge gap between acute and chronic symptoms, vaccination impact, and associated factors in patients across different low-and middle-income countries (LMICs).The study included 2445 participants aged 18 years and older, testing positive for COVID-19. Data collection involved screening for medical histories, testing records, symptomatology, and persistent symptoms. Validated instruments, including the DePaul Symptom Questionnaire (DSQ-2) and the Patient Health Questionnaire-9 (PHQ-9), were used. We applied a self-supervised and unsupervised deep neural network to extract features from the questionnaire. Gradient boosted machines (GBM) model was used to build a risk calculator for chronic fatigue, depression, and prolonged COVID-19 symptoms.Results: Out of the study cohort, 68.1% of the patients had symptoms lasting longer than two weeks. The most frequent symptoms were loss of smell (46.8%), dry cough (40.1%), loss of taste (37.8%), headaches (37.2%), and sore throat (28.9%). The patients also reported high rates of depression (47.7%), chronic fatigue (6.5%), and infection after vaccination (23.7%). Factors associated with CFS included sex, age, and smoking. Vaccinated individuals demonstrated lower odds of experiencing prolonged COVID-19 symptoms, CFS, and depression. The predictive models achieved a high area under the curve (AUC) scores of 0.87, 0.82, and 0.74, respectively.The findings underscore the significant burden of long-term symptoms such as chronic fatigue and depression, affecting a considerable proportion of individuals post-infection. Moreover, the study reveals promising insights into the potential benefits of vaccination in mitigating the risk of prolonged COVID-19 symptoms, chronic fatigue syndrome (CFS), and depression. Overall, this research contributes valuable knowledge towards comprehensive management and prevention efforts amidst the ongoing global pandemic.

Keywords: Long Covid, post-acute sequelae, chronic fatigue syndrome, Depression, COVID-19, LMICs, Vaccination, Hospitalization

Received: 12 Apr 2024; Accepted: 29 May 2025.

Copyright: © 2025 Shaheen, Shaheen, Shoib, Saeed, Buhari, Bharmauria and Flouty. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Nour Shaheen, Alexandria University, Alexandria, Egypt

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