Article: Syndemic analysis of the pandemic COVID-19 crisis: a multidisciplinary "Understand-Anticipate - Propose" meta-method.
Archives of public health = Archives belges de sante publique
2022 Volume 80, Issue 1, Page(s) 193
Abstract: Background: In order to understand the pandemic COVID-19 crisis in a forward-looking way, the French High Council for public health (HCSP) has designed a conceptual scheme for public health planning based on L. Green's model in order to better ... ...
Abstract | Background: In order to understand the pandemic COVID-19 crisis in a forward-looking way, the French High Council for public health (HCSP) has designed a conceptual scheme for public health planning based on L. Green's model in order to better understand the issues at stake, by identifying dangers and levers for action. The final aim was to establish priorities and guidelines in order to anticipate the collateral consequences of the management of the crisis and be better prepared for the next one. Method: A public health conceptual framework PRECEDE-PROCEED adapted to the Covid-19 health crisis was developed using both a graphic (concept map) and analytic (to make the conceptual scheme functional) approaches. Then, a "meta-method" was applied using three distinct cognitive stages: understanding, anticipation and proposals of action. Results: The conceptual framework was broken down into 10 technical sheets covering essential diagnoses and integrating different public health determinants. Each of these was broken down into three cognitive stages, allowing for a diagnosis of understanding, a scenario of anticipation and a strategic analysis of action according to the chronology: understand-anticipate-propose. From these 10 technical sheets, 32 guidelines have been proposed. Conclusion: This work is intended to allow reflections on public health approaches to strengthen and anticipate health crisis management and health planning by politic managers working at national or sub-national level. |
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Language | English | |||||
Publishing date | 2022-08-19 | |||||
Publishing country | England | |||||
Document type | Journal Article | |||||
ZDB-ID | 1117688-x | |||||
ISSN | 2049-3258 ; 0778-7367 ; 0003-9578 | |||||
ISSN (online) | 2049-3258 | |||||
ISSN | 0778-7367 ; 0003-9578 | |||||
DOI | 10.1186/s13690-022-00951-x | |||||
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Database | MEDical Literature Analysis and Retrieval System OnLINE |
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