Cargando…
Associations between institutional-social-ecological factors and COVID -19 case-fatality: Evidence from 134 countries using multiscale geographically weighted regression (MGWR)
During the period in which the Omicron coronavirus variant was rapidly spreading, the impact of the institutional-social-ecological dimensions on the case-fatality rate was rarely afforded attention. By adopting the diagnostic social-ecological system (SES) framework, the present paper aims to ident...
Autores principales: | Shi, Xuerui, Ling, Gabriel Hoh Teck, Leng, Pau Chung, Rusli, Noradila, Matusin, Ak Mohd Rafiq Ak |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141798/ https://www.ncbi.nlm.nih.gov/pubmed/37153369 http://dx.doi.org/10.1016/j.onehlt.2023.100551 |
Ejemplares similares
-
Factors Influencing Asia-Pacific Countries’ Success Level in Curbing COVID-19: A Review Using a Social–Ecological System (SES) Framework
por: Ling, Gabriel Hoh Teck, et al.
Publicado: (2021) -
Sociodemographic determinants of COVID-19 incidence rates in Oman: Geospatial modelling using multiscale geographically weighted regression (MGWR)
por: Mansour, Shawky, et al.
Publicado: (2021) -
Influential factors of tuberculosis in mainland China based on MGWR model
por: Ma, Zhipeng, et al.
Publicado: (2023) -
Restorative perception of urban streets: Interpretation using deep learning and MGWR models
por: Han, Xin, et al.
Publicado: (2023) -
Research on Spatiotemporal Differentiation and Influence Mechanism of Urban Resilience in China Based on MGWR Model
por: Chen, Yu, et al.
Publicado: (2021)