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Correlations between selected structural measures and dynam..:
Michael J. Rigby (11520194)
;
Kinga Zdunek (11520197)
;
Fabrizio Pecoraro (9406733)
..
https://figshare.com/articles/dataset/Correlations_between_selected_structural_measures_and_dynamism_of_impact_change_/16733984. , 2021
Link:
https://doi.org/10.1371/journal.pone.0257757.t005
RT Journal T1
Correlations between selected structural measures and dynamism of impact change
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16733984&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/dataset/Correlations_between_selected_structural_measures_and_dynamism_of_impact_change_/16733984 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0257757.t005 DO https://doi.org/10.1371/journal.pone.0257757.t005 SF ELIB - SuUB Bremen
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