Phylodynamics reveals the role of human travel and contact tracing in controlling the first wave of COVID-19 in four island nations
New Zealand, Australia, Iceland, and Taiwan all saw success in controlling their first waves of Coronavirus Disease 2019 (COVID-19). As islands, they make excellent case studies for exploring the effects of international travel and human movement on the spread of COVID-19. We employed a range of rob...
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ftpubmed:oai:pubmedcentral.nih.gov:8344840 2023-05-15T16:50:36+02:00 Phylodynamics reveals the role of human travel and contact tracing in controlling the first wave of COVID-19 in four island nations Douglas, Jordan Mendes, Fábio K Bouckaert, Remco Xie, Dong Jiménez-Silva, Cinthy L Swanepoel, Christiaan de Ligt, Joep Ren, Xiaoyun Storey, Matt Hadfield, James Simpson, Colin R Geoghegan, Jemma L Drummond, Alexei J Welch, David 2021-06-08 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344840/ https://doi.org/10.1093/ve/veab052 en eng Oxford University Press http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344840/ http://dx.doi.org/10.1093/ve/veab052 © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. CC-BY Virus Evol Research Article Text 2021 ftpubmed https://doi.org/10.1093/ve/veab052 2021-08-15T00:35:26Z New Zealand, Australia, Iceland, and Taiwan all saw success in controlling their first waves of Coronavirus Disease 2019 (COVID-19). As islands, they make excellent case studies for exploring the effects of international travel and human movement on the spread of COVID-19. We employed a range of robust phylodynamic methods and genome subsampling strategies to infer the epidemiological history of Severe acute respiratory syndrome coronavirus 2 in these four countries. We compared these results to transmission clusters identified by the New Zealand Ministry of Health by contact tracing strategies. We estimated the effective reproduction number of COVID-19 as 1–1.4 during early stages of the pandemic and show that it declined below 1 as human movement was restricted. We also showed that this disease was introduced many times into each country and that introductions slowed down markedly following the reduction of international travel in mid-March 2020. Finally, we confirmed that New Zealand transmission clusters identified via standard health surveillance strategies largely agree with those defined by genomic data. We have demonstrated how the use of genomic data and computational biology methods can assist health officials in characterising the epidemiology of viral epidemics and for contact tracing. Text Iceland PubMed Central (PMC) New Zealand Virus Evolution |
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Research Article |
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Research Article Douglas, Jordan Mendes, Fábio K Bouckaert, Remco Xie, Dong Jiménez-Silva, Cinthy L Swanepoel, Christiaan de Ligt, Joep Ren, Xiaoyun Storey, Matt Hadfield, James Simpson, Colin R Geoghegan, Jemma L Drummond, Alexei J Welch, David Phylodynamics reveals the role of human travel and contact tracing in controlling the first wave of COVID-19 in four island nations |
topic_facet |
Research Article |
description |
New Zealand, Australia, Iceland, and Taiwan all saw success in controlling their first waves of Coronavirus Disease 2019 (COVID-19). As islands, they make excellent case studies for exploring the effects of international travel and human movement on the spread of COVID-19. We employed a range of robust phylodynamic methods and genome subsampling strategies to infer the epidemiological history of Severe acute respiratory syndrome coronavirus 2 in these four countries. We compared these results to transmission clusters identified by the New Zealand Ministry of Health by contact tracing strategies. We estimated the effective reproduction number of COVID-19 as 1–1.4 during early stages of the pandemic and show that it declined below 1 as human movement was restricted. We also showed that this disease was introduced many times into each country and that introductions slowed down markedly following the reduction of international travel in mid-March 2020. Finally, we confirmed that New Zealand transmission clusters identified via standard health surveillance strategies largely agree with those defined by genomic data. We have demonstrated how the use of genomic data and computational biology methods can assist health officials in characterising the epidemiology of viral epidemics and for contact tracing. |
format |
Text |
author |
Douglas, Jordan Mendes, Fábio K Bouckaert, Remco Xie, Dong Jiménez-Silva, Cinthy L Swanepoel, Christiaan de Ligt, Joep Ren, Xiaoyun Storey, Matt Hadfield, James Simpson, Colin R Geoghegan, Jemma L Drummond, Alexei J Welch, David |
author_facet |
Douglas, Jordan Mendes, Fábio K Bouckaert, Remco Xie, Dong Jiménez-Silva, Cinthy L Swanepoel, Christiaan de Ligt, Joep Ren, Xiaoyun Storey, Matt Hadfield, James Simpson, Colin R Geoghegan, Jemma L Drummond, Alexei J Welch, David |
author_sort |
Douglas, Jordan |
title |
Phylodynamics reveals the role of human travel and contact tracing in controlling the first wave of COVID-19 in four island nations |
title_short |
Phylodynamics reveals the role of human travel and contact tracing in controlling the first wave of COVID-19 in four island nations |
title_full |
Phylodynamics reveals the role of human travel and contact tracing in controlling the first wave of COVID-19 in four island nations |
title_fullStr |
Phylodynamics reveals the role of human travel and contact tracing in controlling the first wave of COVID-19 in four island nations |
title_full_unstemmed |
Phylodynamics reveals the role of human travel and contact tracing in controlling the first wave of COVID-19 in four island nations |
title_sort |
phylodynamics reveals the role of human travel and contact tracing in controlling the first wave of covid-19 in four island nations |
publisher |
Oxford University Press |
publishDate |
2021 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344840/ https://doi.org/10.1093/ve/veab052 |
geographic |
New Zealand |
geographic_facet |
New Zealand |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Virus Evol |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344840/ http://dx.doi.org/10.1093/ve/veab052 |
op_rights |
© The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1093/ve/veab052 |
container_title |
Virus Evolution |
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1766040731089108992 |