Log in to save to my catalogue

Spatiotemporal Surveillance of COVID-19 Based on Epidemiological Features: Evidence from Northeast I...

Spatiotemporal Surveillance of COVID-19 Based on Epidemiological Features: Evidence from Northeast I...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2724322080

Spatiotemporal Surveillance of COVID-19 Based on Epidemiological Features: Evidence from Northeast Iran

About this item

Full title

Spatiotemporal Surveillance of COVID-19 Based on Epidemiological Features: Evidence from Northeast Iran

Publisher

Basel: MDPI AG

Journal title

Sustainability, 2022-09, Vol.14 (19), p.12189

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Spatiotemporal analysis of COVID-19 cases based on epidemiological characteristics leads to more refined findings about health inequalities and better allocation of medical resources in a spatially and timely fashion. While existing literature has explored the spatiotemporal clusters of COVID-19 worldwide, little attention has been paid to investig...

Alternative Titles

Full title

Spatiotemporal Surveillance of COVID-19 Based on Epidemiological Features: Evidence from Northeast Iran

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2724322080

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2724322080

Other Identifiers

ISSN

2071-1050

E-ISSN

2071-1050

DOI

10.3390/su141912189

How to access this item