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Milena Lopreite

Dados Biográficos

ID1735978
NOMEMilena Lopreite
PRENOMESMilena
SOBRENOMELopreite
ASSINATURALOPREITE M
AFILIAÇÕESUniversity of Calabria
ORCID0000-0002-4093-9309
VERIFICADOSim
TOTAL DE OBRAS6
TOTAL DE CITAÇÕES4
TOTAL COMO AUTOR6
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2020
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H1
  • Life expectancy and its determinants

    Open Access•Milena Lopreite, Michelangelo Misuraca et al.•ARTICLE•Socio-Economic Planning Sciences•2026

    Life expectancy at birth is a key indicator of national health and socioeconomic development. Identifying the main factors associated with its variation is essential for policymakers seeking to improve population well-being. This study employs a range of machine learning techniques to analyse the relationship between life expectancy and a set of macro-level indicators across 49 OECD countries over time. Multiple predictive models are implemented …

  • Capital centralization and imperialism

    Open Access•Emiliano Brancaccio, Milena Lopreite et al.•ARTICLE•Capital & Class•2025•Referências: 8

    The relationships between capital centralization, imperialism, and war are the subject of new research and a recent appeal for peace published in the Financial Times and Le Monde . Inspired by such contributions, we apply a computer-assisted textual analysis based on a Bidirectional Encoder Representations from Transformers semantic approach to examine publications produced between 1900 and 2025 that investigate the links between ‘capital central…

  • Innovating health prevention models in detecting infectious disease outbreaks through social media data

    Open Access•Monica Giancotti, Milena Lopreite et al.•ARTICLE•Frontiers in Public Health•2024

    Introduction and objective: The number of literature reviews examining the use of social media in detecting emerging infectious diseases has recently experienced an unprecedented growth. Yet, a higher-level integration of the evidence is still lacking. This study aimed to synthesize existing systematic literature reviews published on this topic, offering an overview that can help policymakers and public health authorities to select appropriate po…

  • The early weeks of the Italian Covid-19 outbreak

    Open Access•Sabina De Rosi, Milena Lopreite et al.•ARTICLE•Health Policy•2021

    A novel approach to analyse population reaction to COVID-19 was presented. • Positive and negative outbreak in Italy have been measured from tweets • The higher the number of cases the higher interest rate on coronavirus. • The negative outbreak overcomes the positive one but tends to diminish over time • Differences among Regions in terms of interest smoothened after the national lockdown

  • A social network analysis of the organizations focusing on tuberculosis, malaria and pneumonia

    Open Access•Milena Lopreite, Michelangelo Puliga et al.•ARTICLE•Social Science & Medicine•2021•Citada por: 1•Referências: 30

  • The effects of ageing population on health expenditure and economic growth in China

    Open Access•Milena Lopreite, Zhen Zhu•ARTICLE•Social Science & Medicine•2020•Citada por: 3•Referências: 44

  • The effects of ageing population on health expenditure and economic growth in China

    Open Access•Milena Lopreite, Zhen Zhu•ARTICLE•Social Science & Medicine•2020•Citada por: 3•Referências: 44

  • A social network analysis of the organizations focusing on tuberculosis, malaria and pneumonia

    Open Access•Milena Lopreite, Michelangelo Puliga et al.•ARTICLE•Social Science & Medicine•2021•Citada por: 1•Referências: 30

  • The effects of ageing population on health expenditure and economic growth in China

    Open Access•Milena Lopreite, Zhen Zhu•ARTICLE•Social Science & Medicine•2020•Citada por: 3•Referências: 44

  • The early weeks of the Italian Covid-19 outbreak

    Open Access•Sabina De Rosi, Milena Lopreite et al.•ARTICLE•Health Policy•2021

    A novel approach to analyse population reaction to COVID-19 was presented. • Positive and negative outbreak in Italy have been measured from tweets • The higher the number of cases the higher interest rate on coronavirus. • The negative outbreak overcomes the positive one but tends to diminish over time • Differences among Regions in terms of interest smoothened after the national lockdown

  • A social network analysis of the organizations focusing on tuberculosis, malaria and pneumonia

    Open Access•Milena Lopreite, Michelangelo Puliga et al.•ARTICLE•Social Science & Medicine•2021•Citada por: 1•Referências: 30

  • Innovating health prevention models in detecting infectious disease outbreaks through social media data

    Open Access•Monica Giancotti, Milena Lopreite et al.•ARTICLE•Frontiers in Public Health•2024

    Introduction and objective: The number of literature reviews examining the use of social media in detecting emerging infectious diseases has recently experienced an unprecedented growth. Yet, a higher-level integration of the evidence is still lacking. This study aimed to synthesize existing systematic literature reviews published on this topic, offering an overview that can help policymakers and public health authorities to select appropriate po…

  • Capital centralization and imperialism

    Open Access•Emiliano Brancaccio, Milena Lopreite et al.•ARTICLE•Capital & Class•2025•Referências: 8

    The relationships between capital centralization, imperialism, and war are the subject of new research and a recent appeal for peace published in the Financial Times and Le Monde . Inspired by such contributions, we apply a computer-assisted textual analysis based on a Bidirectional Encoder Representations from Transformers semantic approach to examine publications produced between 1900 and 2025 that investigate the links between ‘capital central…

  • Life expectancy and its determinants

    Open Access•Milena Lopreite, Michelangelo Misuraca et al.•ARTICLE•Socio-Economic Planning Sciences•2026

    Life expectancy at birth is a key indicator of national health and socioeconomic development. Identifying the main factors associated with its variation is essential for policymakers seeking to improve population well-being. This study employs a range of machine learning techniques to analyse the relationship between life expectancy and a set of macro-level indicators across 49 OECD countries over time. Multiple predictive models are implemented …

Medicine (4 obras) · Misinformation and Its Impacts (3 obras) · Complex Network Analysis Techniques (2 obras) · Computer Science (2 obras) · Data-Driven Disease Surveillance (2 obras) · Disease (2 obras) · Environmental health (2 obras) · Global Health Care Issues (2 obras) · Insurance, Mortality, Demography, Risk Management (2 obras) · Life expectancy (2 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae