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Marcello Moccia

Biographic Data

ID7950398
NAMEMarcello Moccia
GIVEN NAMESMarcello
FAMILY NAMEMoccia
SIGNATUREMOCCIA M
AFFILIATIONSFederico II University Hospital
ORCID0000-0003-2613-3090
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • The needs and unmet needs for people living with dementia, caregivers and care workers in dementia health care systems

    Open Access•Michele Sorrentino, Michelangelo Mercogliano et al.•ARTICLE•Frontiers in Public Health•2025

  • Population-level risks of alcohol consumption by amount, geography, age, sex, and year

    Open Access•Dana Bryazka, Marissa B Reitsma et al.•ARTICLE•The Lancet•2022

    BACKGROUND: The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. METHODS: For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to esti…

  • Multiple Sclerosis in the Campania Region (South Italy)

    Open Access•Marcello Moccia, Vincenzo Brescia Morra et al.•ARTICLE•International Journal of…•2020

    We aim to validate a case-finding algorithm to detect individuals with multiple sclerosis (MS) using routinely collected healthcare data, and to assess the prevalence of MS in the Campania Region (South Italy). To identify individuals with MS living in the Campania Region, we employed an algorithm using different routinely collected healthcare administrative databases (hospital discharges, drug prescriptions, outpatient consultations with payment…

No prominent works on this page.

  • Multiple Sclerosis in the Campania Region (South Italy)

    Open Access•Marcello Moccia, Vincenzo Brescia Morra et al.•ARTICLE•International Journal of…•2020

    We aim to validate a case-finding algorithm to detect individuals with multiple sclerosis (MS) using routinely collected healthcare data, and to assess the prevalence of MS in the Campania Region (South Italy). To identify individuals with MS living in the Campania Region, we employed an algorithm using different routinely collected healthcare administrative databases (hospital discharges, drug prescriptions, outpatient consultations with payment…

  • Population-level risks of alcohol consumption by amount, geography, age, sex, and year

    Open Access•Dana Bryazka, Marissa B Reitsma et al.•ARTICLE•The Lancet•2022

    BACKGROUND: The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. METHODS: For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to esti…

  • The needs and unmet needs for people living with dementia, caregivers and care workers in dementia health care systems

    Open Access•Michele Sorrentino, Michelangelo Mercogliano et al.•ARTICLE•Frontiers in Public Health•2025

Demography (2 works) · Medicine (2 works) · Alcohol (1 work) · Alcohol consumption (1 work) · Alcohol Consumption and Health Effects (1 work) · Alcoholism and Thiamine Deficiency (1 work) · Algorithm (1 work) · Burden of disease (1 work) · Cohort (1 work) · Confidence interval (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae