Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Bandar Alosaimi

Datos Biográficos

ID8325644
NOMBREBandar Alosaimi
NOMBRESBandar
APELLIDOAlosaimi
FIRMAALOSAIMI B
AFILIACIONESKing Fahd Medical City
ORCID0000-0003-4719-2655
VERIFICADOSí
TOTAL DE OBRAS4
TOTAL DE CITAS0
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2023
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0
  • Early-warning prediction of visceral leishmaniasis mortality using a multivariate STL–deep learning hybrid approach on 20 years of monthly time series

    Open Access•Fathelrhman EL Guma, Maaweya Awadalla et al.•ARTICLE•Frontiers in Public Health•2026

    Introduction Visceral leishmaniasis (VL) is a preventable disease, but continues to cause mortality in Sudan, with transmission dynamics and potentially fatal outcomes strongly affected by local environmental conditions. Methods This research presents an innovative hybrid forecasting framework that amalgamates Seasonal-Trend decomposition using Loess (STL) with four sophisticated models: Gaussian Process Regression (GPR), Long Short-Term Memory (…

  • A hybrid STL–LightGBM framework with probabilistic forecasting for Influenza A incidence in the post-pandemic Saudi Arabia

    Open Access•Reham M Alahmadi, Maaweya Awadalla et al.•ARTICLE•Frontiers in Public Health•2026

    Influenza A outbreaks in Saudi Arabia exhibit different seasonal patterns, influenced by significant changes, including a near-total halt during the COVID-19 pandemic (2020-2021) and a substantial rebound, as evidenced by national surveillance data, until the end of 2023. Traditional time-series models rely on stationarity and stable seasonal patterns; however, these assumptions are significantly undermined by regime shifts. This study introduces…

  • Factors influencing human papillomavirus vaccine uptake among parents and teachers of schoolgirls in Saudi Arabia

    Open Access•Deema Fallatah, Deema I Fallatah et al.•ARTICLE•Frontiers in Public Health•2024

    Introduction: Cervical cancer is a highly prevalent disease among women worldwide. However, the advent of a vaccine against HPV, the main cause of the disease, has prevented its spread. The acceptability of the HPV vaccine to different sectors of the Saudi community has yet to be clarified. Since parents and teachers are major influencers in the decision-making process of vaccination for HPV, this study aimed to assess the knowledge and attitudes…

  • Assessing disparities in medical students’ knowledge and attitude about monkeypox

    Open Access•Samar Abd ElHafeez, Assem Gebreal et al.•ARTICLE•Frontiers in Public Health•2023

    Background and aims: The recent monkeypox (Mpox) outbreak confirmed by the World Health Organization (WHO) underscores the importance of evaluating the knowledge and attitude of medical students toward emerging diseases, given their potential roles as healthcare professionals and sources of public information during outbreaks. This study aimed to assess medical students' knowledge and attitude about Mpox and to identify factors affecting their le…

Sin obras prominentes en esta página.

  • Assessing disparities in medical students’ knowledge and attitude about monkeypox

    Open Access•Samar Abd ElHafeez, Assem Gebreal et al.•ARTICLE•Frontiers in Public Health•2023

    Background and aims: The recent monkeypox (Mpox) outbreak confirmed by the World Health Organization (WHO) underscores the importance of evaluating the knowledge and attitude of medical students toward emerging diseases, given their potential roles as healthcare professionals and sources of public information during outbreaks. This study aimed to assess medical students' knowledge and attitude about Mpox and to identify factors affecting their le…

  • Factors influencing human papillomavirus vaccine uptake among parents and teachers of schoolgirls in Saudi Arabia

    Open Access•Deema Fallatah, Deema I Fallatah et al.•ARTICLE•Frontiers in Public Health•2024

    Introduction: Cervical cancer is a highly prevalent disease among women worldwide. However, the advent of a vaccine against HPV, the main cause of the disease, has prevented its spread. The acceptability of the HPV vaccine to different sectors of the Saudi community has yet to be clarified. Since parents and teachers are major influencers in the decision-making process of vaccination for HPV, this study aimed to assess the knowledge and attitudes…

  • Early-warning prediction of visceral leishmaniasis mortality using a multivariate STL–deep learning hybrid approach on 20 years of monthly time series

    Open Access•Fathelrhman EL Guma, Maaweya Awadalla et al.•ARTICLE•Frontiers in Public Health•2026

    Introduction Visceral leishmaniasis (VL) is a preventable disease, but continues to cause mortality in Sudan, with transmission dynamics and potentially fatal outcomes strongly affected by local environmental conditions. Methods This research presents an innovative hybrid forecasting framework that amalgamates Seasonal-Trend decomposition using Loess (STL) with four sophisticated models: Gaussian Process Regression (GPR), Long Short-Term Memory (…

  • A hybrid STL–LightGBM framework with probabilistic forecasting for Influenza A incidence in the post-pandemic Saudi Arabia

    Open Access•Reham M Alahmadi, Maaweya Awadalla et al.•ARTICLE•Frontiers in Public Health•2026

    Influenza A outbreaks in Saudi Arabia exhibit different seasonal patterns, influenced by significant changes, including a near-total halt during the COVID-19 pandemic (2020-2021) and a substantial rebound, as evidenced by national surveillance data, until the end of 2023. Traditional time-series models rely on stationarity and stable seasonal patterns; however, these assumptions are significantly undermined by regime shifts. This study introduces…

Cross-sectional study (2 obras) · Environmental health (2 obras) · Medicine (2 obras) · Vaccine Coverage and Hesitancy (2 obras) · Biology (1 obras) · Cervical Cancer and HPV Research (1 obras) · COVID-19 epidemiological studies (1 obras) · Data-Driven Disease Surveillance (1 obras) · Demography (1 obras) · Family medicine (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae