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Modelling and prediction of global non-communicable diseases

Dados Bibliográficos

ID15364355
AutoresYang Wang (0009-0007-0551-9820, Chinese Academy of Sciences, autor correspondente), Jinfeng Wang (0000-0002-6687-9420, Chinese Academy of Sciences)
Ano2020
Volume20
Fascículo1
Páginas822-822
Data de publicação2020-06-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoBMC Public Health (JOURNAL)
Identificadores do periódicoISSN: 1471-2458 • E-ISSN: 1471-2458
EditoraBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-020-08890-4
PMID32487173
OpenAlexW3032749548
IdiomaEN
Citações recebidas29
Referências citadas63

This study found that there is a significant association between socio-economic factors and NCD death indicators in the tree-like structure. In the Geotree, countries on the same branch or trunk can learn from countries with higher development stages to formulate more effective NCD response policies and find the right prevention and treatment path

Biostatistics · Cause of death · Disease · Economic growth · Environmental health · Human development (humanity · Human Development Index · Index (typography · Mortality rate · Non-communicable disease · Pathology · Population · Public health · Demography · Global Public Health Policies and Epidemiology · Medicine · Nutritional Studies and Diet · Obesity, Physical Activity, Diet · Epidemiology

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Obras citantes distintas29
Citações por ano4,83
Intervalo de citações2020 - 2026 (7)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 29
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