Aurel Nechita

Biographic Data

ID7897481
NAMEAurel Nechita
GIVEN NAMESAurel
FAMILY NAMENechita
SIGNATURENECHITA A
AFFILIATIONS"Dunarea de Jos" University of Galati
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Fatal Influenza B–MRSA Coinfection in a Healthy Adolescent

    Open AccessIrina Profir, Cristina-Mihaela Popescu et al.ARTICLEChildren2025

    Influenza B-MRSA co-infection, though rare, demands urgent empiric anti-MRSA therapy in severe influenza cases with leukopenia or shock, even without radiographic necrosis. This fatal outcome underscores the dual imperative of influenza vaccination and early, aggressive dual-pathogen targeting in high-risk presentations

  • An Epidemiological Perspective on New Pediatric Cases of Type 1 Diabetes and Vitamin D Deficiency in South-East Romania

    Open AccessM Ursu, Mariana Stuparu-Crețu et al.ARTICLEChildren2024

    There is an increasing incidence of pediatric T1DM. Diabetic ketoacidosis was frequently diagnosed as an initial manifestation and has frequently accompanied lower levels of vitamin D. Children with T1DM showed significant vitamin D deficiencies compared to the control group, highlighting the need for the monitoring and supplementation of this vitamin

  • Study on the Influence of Regular Physical Activity on Children’s Oral Health

    Open AccessPaul Șerban Popa, Daniela Onișor et al.ARTICLEChildren2023

    The benefits of physical activities conducted systematically on the harmonious development, intellectual performance, and general health of children are unanimously accepted. This study's aim is to determine whether differences in oral health between young athletes and children not engaged in competitive sports are present. A total of 173 children aged between 6 and 17 years, 58 hockey players, 55 football players, and 60 in the control group wer…

  • Machine Learning Approaches for the Prediction of Hepatitis B and C Seropositivity

    Open AccessValeriu Harabor, Raluca Mogos et al.ARTICLEInternational Journal of…2023

    (1) Background: The identification of patients at risk for hepatitis B and C viral infection is a challenge for the clinicians and public health specialists. The aim of this study was to evaluate and compare the predictive performances of four machine learning-based models for the prediction of HBV and HCV status. (2) Methods: This prospective cohort screening study evaluated adults from the North-Eastern and South-Eastern regions of Romania betw…