COVID-19 open data: An ecological study and international collaboration examining pandemic trends in Northern Periphery arctic countries

<b>Objectives:</b> In the early stages of the COVID-19 pandemic, evidence generation lagged behind public health responses. This study describes an international collaboration of frontline clinicians who used open data describing COVID-19 trends to generate "practice-based evidence". <b>Methods:</b> Open data resources from nine Northern Periphery and Arctic (NPA) countries were harnessed using the open-source programming language 'R' and our collaborations analyses and insights were published on a public-facing website. The website's visualisations guided teleconference discussions from September 2020 to March 2021, focusing on contextualizing national responses, especially in rural regions. <b>Results:</b> This project facilitated shared learning from COVID-19 trends and highlighted key aspects of national responses. Notably, rural NPA regions experienced less COVID-19 cases and mortality in the first year of the pandemic. <b>Conclusion:</b> This international collaborative effort, driven by open data analysis, provided a platform to share real-world insights. The study offers a potential template for future pandemics and emphasises the importance of sustaining open data resources, including granular data like excess mortality, for effective pandemic learning.

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Publication Details

Journal
Health Informatics Journal
Published
2025-04-01
DOI
https://doi.org/10.1177/14604582251315588
Primary Topic
Zoonotic diseases and public health
Type
article
Field-Weighted Citation Impact
0.00

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article

COVID-19 open data: An ecological study and international collaboration examining pandemic trends in Northern Periphery arctic countries

Gerard Leavey, Dana Pearl, Katri Vehviläinen‐Julkunen, Michael O’Callaghan et al.
Health Informatics Journal
Zoonotic diseases and public health
article

COVID-19 open data: An ecological study and international collaboration examining pandemic trends in Northern Periphery arctic countries

Gerard Leavey, Dana Pearl, Katri Vehviläinen‐Julkunen, Michael O’Callaghan, Liam Glynn, Joan Condell, Pál Weihe, Anndra Parviainen, Maria Skaalum Petersen, Monica Casey, Olivia Hickey, Kirsi Bykachev, Holly A. Parker, Sigurður E. Sigurðsson, Anette Fosse, David W. Savage, Nigel Hart
article en

Abstract

<b>Objectives:</b> In the early stages of the COVID-19 pandemic, evidence generation lagged behind public health responses. This study describes an international collaboration of frontline clinicians who used open data describing COVID-19 trends to generate "practice-based evidence". <b>Methods:</b> Open data resources from nine Northern Periphery and Arctic (NPA) countries were harnessed using the open-source programming language 'R' and our collaborations analyses and insights were published on a public-facing website. The website's visualisations guided teleconference discussions from September 2020 to March 2021, focusing on contextualizing national responses, especially in rural regions. <b>Results:</b> This project facilitated shared learning from COVID-19 trends and highlighted key aspects of national responses. Notably, rural NPA regions experienced less COVID-19 cases and mortality in the first year of the pandemic. <b>Conclusion:</b> This international collaborative effort, driven by open data analysis, provided a platform to share real-world insights. The study offers a potential template for future pandemics and emphasises the importance of sustaining open data resources, including granular data like excess mortality, for effective pandemic learning.

Health Informatics JournalVol. 31(2)
University of the Faroe Islands (FO), Queen's University Belfast (GB), Bowdoin College (US), University of Ulster (GB), University of Eastern Finland (FI), Ollscoil na Gaillimhe – University of Galway (IE), University of Limerick (IE), Health Research Board (IE), Akureyri Hospital (IS), Kuopio University Hospital (FI), Centre for Arctic Gas Hydrate, Environment and Climate (NO), Queens University (BD), Ruralis - Institute for Rural and Regional Research (NO), Finland University (FI), Trials Methodology Research Network (IE), UiT The Arctic University of Norway (NO), NOSM University (CA)
European Regional Development Fund
Good health and well-being
Openalex Percentile: Top 86%
Zoonotic diseases and public health
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