Epidemic profile lines for Ireland, Germany, UK, South Korea and Iceland.
Plots of five-day averaged confirmed COVID-19 infections as a best-fit smooth epidemic profile line.
Main Authors: | , , |
---|---|
Format: | Still Image |
Language: | unknown |
Published: |
2021
|
Subjects: | |
Online Access: | https://doi.org/10.1371/journal.pone.0250699.g001 |
id |
ftsmithonian:oai:figshare.com:article/14477374 |
---|---|
record_format |
openpolar |
spelling |
ftsmithonian:oai:figshare.com:article/14477374 2023-05-15T16:47:40+02:00 Epidemic profile lines for Ireland, Germany, UK, South Korea and Iceland. Dan Wu (5969) Pól Mac Aonghusa (10692811) Donal F. O’Shea (1433989) 2021-04-23T17:45:34Z https://doi.org/10.1371/journal.pone.0250699.g001 unknown https://figshare.com/articles/figure/Epidemic_profile_lines_for_Ireland_Germany_UK_South_Korea_and_Iceland_/14477374 doi:10.1371/journal.pone.0250699.g001 CC BY 4.0 CC-BY Medicine Biotechnology Ecology Infectious Diseases Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified population scale interventions COVID -19 testing regimes 57- day period infection numbers COVID -19 outbreak HCW infection data time series UK decline infection numbers testing programs Time analysis epidemic line profile healthcare workers COVID -19 infect. disease progression Image Figure 2021 ftsmithonian https://doi.org/10.1371/journal.pone.0250699.g001 2021-05-05T17:36:10Z Plots of five-day averaged confirmed COVID-19 infections as a best-fit smooth epidemic profile line. Still Image Iceland Unknown |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
ftsmithonian |
language |
unknown |
topic |
Medicine Biotechnology Ecology Infectious Diseases Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified population scale interventions COVID -19 testing regimes 57- day period infection numbers COVID -19 outbreak HCW infection data time series UK decline infection numbers testing programs Time analysis epidemic line profile healthcare workers COVID -19 infect. disease progression |
spellingShingle |
Medicine Biotechnology Ecology Infectious Diseases Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified population scale interventions COVID -19 testing regimes 57- day period infection numbers COVID -19 outbreak HCW infection data time series UK decline infection numbers testing programs Time analysis epidemic line profile healthcare workers COVID -19 infect. disease progression Dan Wu (5969) Pól Mac Aonghusa (10692811) Donal F. O’Shea (1433989) Epidemic profile lines for Ireland, Germany, UK, South Korea and Iceland. |
topic_facet |
Medicine Biotechnology Ecology Infectious Diseases Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified population scale interventions COVID -19 testing regimes 57- day period infection numbers COVID -19 outbreak HCW infection data time series UK decline infection numbers testing programs Time analysis epidemic line profile healthcare workers COVID -19 infect. disease progression |
description |
Plots of five-day averaged confirmed COVID-19 infections as a best-fit smooth epidemic profile line. |
format |
Still Image |
author |
Dan Wu (5969) Pól Mac Aonghusa (10692811) Donal F. O’Shea (1433989) |
author_facet |
Dan Wu (5969) Pól Mac Aonghusa (10692811) Donal F. O’Shea (1433989) |
author_sort |
Dan Wu (5969) |
title |
Epidemic profile lines for Ireland, Germany, UK, South Korea and Iceland. |
title_short |
Epidemic profile lines for Ireland, Germany, UK, South Korea and Iceland. |
title_full |
Epidemic profile lines for Ireland, Germany, UK, South Korea and Iceland. |
title_fullStr |
Epidemic profile lines for Ireland, Germany, UK, South Korea and Iceland. |
title_full_unstemmed |
Epidemic profile lines for Ireland, Germany, UK, South Korea and Iceland. |
title_sort |
epidemic profile lines for ireland, germany, uk, south korea and iceland. |
publishDate |
2021 |
url |
https://doi.org/10.1371/journal.pone.0250699.g001 |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
https://figshare.com/articles/figure/Epidemic_profile_lines_for_Ireland_Germany_UK_South_Korea_and_Iceland_/14477374 doi:10.1371/journal.pone.0250699.g001 |
op_rights |
CC BY 4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1371/journal.pone.0250699.g001 |
_version_ |
1766037750881976320 |