Cargando…
Regional infectious risk prediction of COVID-19 based on geo-spatial data
After the first confirmed case of the novel coronavirus disease (COVID-19) was found, it is of considerable significance to divide the risk levels of various provinces or provincial municipalities in Mainland China and predict the spatial distribution characteristics of infectious diseases. In this...
Autores principales: | Cheng, Xuewei, Han, Zhaozhou, Abba, Badamasi, Wang, Hong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668208/ https://www.ncbi.nlm.nih.gov/pubmed/33240596 http://dx.doi.org/10.7717/peerj.10139 |
Ejemplares similares
-
Spatial temporal distribution of COVID-19 risk during the early phase of the pandemic in Malawi
por: Ngwira, Alfred, et al.
Publicado: (2021) -
Trustworthy COVID-19 Mapping: Geo-spatial Data Literacy Aspects of Choropleth Maps
por: Juergens, Carsten
Publicado: (2020) -
COVID-19 case-fatality rate and demographic and socioeconomic influencers: worldwide spatial regression analysis based on country-level data
por: Cao, Yang, et al.
Publicado: (2020) -
Basic Geo-Spatial Data Literacy Education for Economic Applications
por: Juergens, Carsten, et al.
Publicado: (2023) -
Understanding the risks for post-disaster infectious disease outbreaks: a systematic review protocol
por: Charnley, Gina E C, et al.
Publicado: (2020)