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Space–Time Surveillance of COVID-19 Seasonal Clusters : A Case of Sweden

Aturinde, Augustus LU and Mansourian, Ali LU (2022) In ISPRS International Journal of Geo-Information 11(5).
Abstract

While COVID-19 is a global pandemic, different countries have experienced different morbidity and mortality patterns. We employ retrospective and prospective space–time permutation analysis on COVID-19 positive records across different municipalities in Sweden from March 2020 to February 2021, using data provided by the Swedish Public Health Agency. To the best of our knowledge, this is the first study analyzing nationwide COVID-19 space–time clustering in Sweden, on a season-to-season basis. Our results show that different municipalities within Sweden experienced varying extents of season-dependent COVID-19 clustering in both the spatial and temporal dimensions. The reasons for the observed differences could be related to the... (More)

While COVID-19 is a global pandemic, different countries have experienced different morbidity and mortality patterns. We employ retrospective and prospective space–time permutation analysis on COVID-19 positive records across different municipalities in Sweden from March 2020 to February 2021, using data provided by the Swedish Public Health Agency. To the best of our knowledge, this is the first study analyzing nationwide COVID-19 space–time clustering in Sweden, on a season-to-season basis. Our results show that different municipalities within Sweden experienced varying extents of season-dependent COVID-19 clustering in both the spatial and temporal dimensions. The reasons for the observed differences could be related to the differences in the earlier exposures to the virus, the strictness of the social restrictions, testing capabilities and preparedness. By profiling COVID-19 space–time clusters before the introduction of vaccines, this study contributes to public health efforts aimed at containing the virus by providing plausible evidence in evaluating which epidemiologic interventions in the different regions could have worked and what could have not worked.

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author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
COVID-19, retrospective, SaTScan, space–time clusters, Sweden
in
ISPRS International Journal of Geo-Information
volume
11
issue
5
article number
307
publisher
MDPI AG
external identifiers
  • scopus:85130361987
ISSN
2220-9964
DOI
10.3390/ijgi11050307
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
id
5650222b-d9d2-4f47-a16f-737735985292
date added to LUP
2022-08-03 23:16:28
date last changed
2023-05-15 12:25:35
@article{5650222b-d9d2-4f47-a16f-737735985292,
  abstract     = {{<p>While COVID-19 is a global pandemic, different countries have experienced different morbidity and mortality patterns. We employ retrospective and prospective space–time permutation analysis on COVID-19 positive records across different municipalities in Sweden from March 2020 to February 2021, using data provided by the Swedish Public Health Agency. To the best of our knowledge, this is the first study analyzing nationwide COVID-19 space–time clustering in Sweden, on a season-to-season basis. Our results show that different municipalities within Sweden experienced varying extents of season-dependent COVID-19 clustering in both the spatial and temporal dimensions. The reasons for the observed differences could be related to the differences in the earlier exposures to the virus, the strictness of the social restrictions, testing capabilities and preparedness. By profiling COVID-19 space–time clusters before the introduction of vaccines, this study contributes to public health efforts aimed at containing the virus by providing plausible evidence in evaluating which epidemiologic interventions in the different regions could have worked and what could have not worked.</p>}},
  author       = {{Aturinde, Augustus and Mansourian, Ali}},
  issn         = {{2220-9964}},
  keywords     = {{COVID-19; retrospective; SaTScan; space–time clusters; Sweden}},
  language     = {{eng}},
  number       = {{5}},
  publisher    = {{MDPI AG}},
  series       = {{ISPRS International Journal of Geo-Information}},
  title        = {{Space–Time Surveillance of COVID-19 Seasonal Clusters : A Case of Sweden}},
  url          = {{http://dx.doi.org/10.3390/ijgi11050307}},
  doi          = {{10.3390/ijgi11050307}},
  volume       = {{11}},
  year         = {{2022}},
}