ArticleBMC infectious diseases2023
Changes in symptoms and characteristics of COVID-19 patients across different variants: two years study using neural network analysis.
Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- A public health perspective of SARS-CoV-2 evolution and surveillance strategies in Germany from 2020 to 2023.Communications medicine · 2025Review
- COVID-19 Waves and Cardiac Health: An Investigative Analysis of Creatine Phosphokinase Levels and Troponin Status Using Machine Learning.Health science reports · 2025Article
- Severe acute respiratory syndrome coronavirus 2 transaminase elevation likely of non-hepatic origin, with protection from older age and vaccination.JPGN reports · 2025Article
- Receptor Binding for the Entry Mechanisms of SARS-CoV-2: Insights from the Original Strain and Emerging Variants.Viruses · 2025Review
- The use of wastewater surveillance to estimate SARS-CoV-2 fecal viral shedding pattern and identify time periods with intensified transmission.BMC public health · 2025Article
- Article
- Real-world impact of COVID-19 vaccination, household exposure, and circulating SARS-CoV-2 variants on infection risk and symptom presentation in a U.S./Mexico border community.Frontiers in public health · 2025Article
- Vaccination prior to SARS-CoV-2 infection does not affect the neurologic manifestations of long COVID.Brain communications · 2025Article
- Extrarespiratory, Digestive, and Hepatic Manifestations of COVID-19 in a Moroccan Series.Scientifica · 2025Article
- Persistent Health and Cognitive Impairments up to Four Years Post-COVID-19 in Young Students: The Impact of Virus Variants and Vaccination Timing.Biomedicines · 2024Article
- Implications of Dysnatremia and Endocrine Disturbances in COVID-19 Patients.International journal of molecular sciences · 2024Review
- Comparative Epidemiological and Clinical Outcomes on COVID-19 and Seasonal Influenza Hospitalized Patients during 2023.Infectious disease reports · 2024Article
- Genomic surveillance and serological profile of SARS-CoV-2 variants circulating in Macaé and nearby cities, southeastern Brazil.Frontiers in microbiology · 2024Article
- Use of wastewater from passenger ships to assess the movement of COVID-19 and other pathogenic viruses across maritime international boundaries.Frontiers in public health · 2024Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundConsidering the fact that COVID-19 has undergone various changes over time, its symptoms have also varied. The aim of this study is to describe and compare the changes in personal characteristics, symptoms, and underlying conditions of individuals infected with different strains of COVID-19.
methodsThis descriptive-analytical study was conducted on 46,747 patients who underwent PCR testing during a two-year period from February 22, 2020 to February 23, 2022, in South Khorasan province, Iran. Patient characteristics and symptoms were extracted based on self-report and the information system. The data were analyzed using logistic regression and artificial neural network approaches. The R software was used for analysis and a significance level of 0.05 was considered for the tests.
resultsAmong the 46,747 cases analyzed, 23,239 (49.7%) were male, and the mean age was 51.48 ± 21.41 years. There was a significant difference in symptoms among different variants of the disease (p < 0.001). The factors with a significant positive association were myalgia (OR: 2.04; 95% CI, 1.76 - 2.36), cough (OR: 1.93; 95% CI, 1.68-2.22), and taste or smell disorder (OR: 2.62; 95% CI, 2.1 - 3.28). Additionally, aging was found to increase the likelihood of testing positive across the six periods.
conclusionWe found that older age, myalgia, cough and taste/smell disorder are better factors compared to dyspnea or high body temperature, for identifying a COVID-19 patient. As the disease evolved, chills and diarrhea, demonstrated prognostic strength as in Omicron.
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