Fatores associados a difusão da epidemia de Covid-19

The maps in this text seek to show what factors are associated with the Covid-19 epidemic, at least in the patterns of its spatial distribution. Their aim is to check whether there is a correlation between the distribution of the disease’s cases known as of June 14, 2020 and that of the factors cons...

Full description

Saved in:
Bibliographic Details
Main Author: Confins
Format: Article
Language:English
Published: Confins 2020-07-01
Series:Confins
Subjects:
Online Access:https://journals.openedition.org/confins/31101
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841542897320591360
author Confins
author_facet Confins
author_sort Confins
collection DOAJ
description The maps in this text seek to show what factors are associated with the Covid-19 epidemic, at least in the patterns of its spatial distribution. Their aim is to check whether there is a correlation between the distribution of the disease’s cases known as of June 14, 2020 and that of the factors considered, individually or jointly (through a PCA factor analysis and an ascending hierarchical classification, CAH) to look for causal relationships, which will then have to be analysed and proven by other methods
format Article
id doaj-art-ae5b1d1cf8314ff4b65bae38c388ffec
institution Kabale University
issn 1958-9212
language English
publishDate 2020-07-01
publisher Confins
record_format Article
series Confins
spelling doaj-art-ae5b1d1cf8314ff4b65bae38c388ffec2025-01-13T15:53:57ZengConfinsConfins1958-92122020-07-014610.4000/confins.31101Fatores associados a difusão da epidemia de Covid-19ConfinsThe maps in this text seek to show what factors are associated with the Covid-19 epidemic, at least in the patterns of its spatial distribution. Their aim is to check whether there is a correlation between the distribution of the disease’s cases known as of June 14, 2020 and that of the factors considered, individually or jointly (through a PCA factor analysis and an ascending hierarchical classification, CAH) to look for causal relationships, which will then have to be analysed and proven by other methodshttps://journals.openedition.org/confins/31101Covid-19socio-economic factorsdistributioncorrelations
spellingShingle Confins
Fatores associados a difusão da epidemia de Covid-19
Confins
Covid-19
socio-economic factors
distribution
correlations
title Fatores associados a difusão da epidemia de Covid-19
title_full Fatores associados a difusão da epidemia de Covid-19
title_fullStr Fatores associados a difusão da epidemia de Covid-19
title_full_unstemmed Fatores associados a difusão da epidemia de Covid-19
title_short Fatores associados a difusão da epidemia de Covid-19
title_sort fatores associados a difusao da epidemia de covid 19
topic Covid-19
socio-economic factors
distribution
correlations
url https://journals.openedition.org/confins/31101
work_keys_str_mv AT confins fatoresassociadosadifusaodaepidemiadecovid19