Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/20.500.11765/13072
Spatial variability of COVID-19 first wave severity and transmission intensity in Spain: the influence of meteorological factors
Registro completo de metadatos
Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Hervella, Beatriz | es_ES |
dc.contributor.author | Luna Rico, Yolanda | es_ES |
dc.contributor.author | Díaz Jiménez, Julio | es_ES |
dc.contributor.author | Linares Gil, Cristina | es_ES |
dc.contributor.author | Belda Esplugues, Fernando | es_ES |
dc.date.accessioned | 2021-08-30T11:16:18Z | - |
dc.date.available | 2021-08-30T11:16:18Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Biomedical Journal of Scientific & Technical Research. 2021, 35(2), p. 27460-27468 | es_ES |
dc.identifier.issn | 2574 -1241 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11765/13072 | - |
dc.description.abstract | Within the same country, Spain, with the same cultural aspects and containment policies (without lockdown), why in the initial moment of the COVID-19 first wave, given a significant number of infections, the disease prospered more intensely in some areas than in others? The hypothesis is that the meteorological factors, that is, the utbreak weather conditions are relevant factors which could be used as early indicators of the COVID-19 first wave severity and transmission intensity. This paper presents a model that allows predicting COVID-19 first wave severity and transmission intensity in Spain based on early weather information | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Biomedical Research Network | es_ES |
dc.rights | Licencia CC: Reconocimiento CC BY | es_ES |
dc.subject | SARS-CoV2 | es_ES |
dc.subject | Incident rate | es_ES |
dc.subject | Correlation Analyses | es_ES |
dc.subject | Linear Regression | es_ES |
dc.title | Spatial variability of COVID-19 first wave severity and transmission intensity in Spain: the influence of meteorological factors | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherversion | https://dx.doi.org/10.26717/BJSTR.2021.35.005667 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
Colecciones: | Artículos científicos 2019-2022 |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | ||
---|---|---|---|---|---|
BJSTR_M_ID_005667.pdf | 837,99 kB | Adobe PDF | Visualizar/Abrir |
Los ítems de Arcimis están protegidos por una Licencia Creative Commons, salvo que se indique lo contrario.