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...
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| Online Access: | http://journals.openedition.org/confins/31101 |
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doaj-82124333a41b47fda70931c18cdcbbf72020-11-25T03:42:48ZengConfinsConfins1958-92122020-07-014610.4000/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 methodshttp://journals.openedition.org/confins/31101Covid-19socio-economic factorsdistributioncorrelations |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Confins |
| spellingShingle |
Confins Fatores associados a difusão da epidemia de Covid-19 Confins Covid-19 socio-economic factors distribution correlations |
| author_facet |
Confins |
| author_sort |
Confins |
| title |
Fatores associados a difusão da epidemia de Covid-19 |
| title_short |
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_sort |
fatores associados a difusão da epidemia de covid-19 |
| publisher |
Confins |
| series |
Confins |
| issn |
1958-9212 |
| publishDate |
2020-07-01 |
| 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 |
| topic |
Covid-19 socio-economic factors distribution correlations |
| url |
http://journals.openedition.org/confins/31101 |
| work_keys_str_mv |
AT confins fatoresassociadosadifusaodaepidemiadecovid19 |
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