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Cluster analysis of 42 countries' death rates from two time..:

Michael J. Rigby (11520194) ; Kinga Zdunek (11520197) ; Fabrizio Pecoraro (9406733)..
https://figshare.com/articles/figure/Cluster_analysis_of_42_countries_death_rates_from_two_time_periods_/16733969. , 2021

Link: https://doi.org/10.1371/journal.pone.0257757.g001

RT Journal
T1 <Title>Cluster analysis of 42 countries' death rates from two time periods</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16733969&Exemplar=1&LAN=DE
				
A1 Michael J. Rigby (11520194)
A1 Kinga Zdunek (11520197)
A1 Fabrizio Pecoraro (9406733)
A1 Marco Cellini (10922246)
A1 Daniela Luzi (709290)
YR 2021
K1 Medicine
K1 Biotechnology
K1 Sociology
K1 Science Policy
K1 Infectious Diseases
K1 successful national responses
K1 strongest measured influences
K1 seeking scientific evidence
K1 population current enrolment
K1 population age structure
K1 population &# 8217
K1 moderate population size
K1 government leadership also
K1 different analytic approaches
K1 19 first struck
K1 preventive health services
K1 employed including correlation
K1 48 representative characteristics
K1 therapeutic health system
K1 tertiary education facilitated
K1 19 pandemic hit
K1 xlink "> strength
K1 xlink ">
K1 tertiary education
K1 health system
K1 structural characteristics
K1 little correlation
K1 health resources
K1 study aimed
K1 structural aspects
K1 social inequality
K1 notable effects
K1 multiple regression
K1 moderating effect
K1 minor links
K1 making profiles
K1 consistent features
K1 accidental factors
JF https://figshare.com/articles/figure/Cluster_analysis_of_42_countries_death_rates_from_two_time_periods_/16733969
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0257757.g001
DO https://doi.org/10.1371/journal.pone.0257757.g001
SF ELIB - SuUB Bremen

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