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Epidemic Potential for Local Transmission of Zika Virus in 2015 and 2016 in Queensland, Australia

Introduction: Zika virus could be transmitted in the state of Queensland, Australia, in parts of the state where the mosquito vectors are established. Methods: We assessed the epidemic potential of Zika in Queensland from January 2015 to August 2016, and estimate the epidemic potential from Septembe...

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Autores principales: Viennet, Elvina, Mincham, Gina, Frentiu, Francesca D., Jansen, Cassie C., Montgomery, Brian L., Harley, David, Flower, Robert L.P., Williams, Craig R., Faddy, Helen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5222544/
https://www.ncbi.nlm.nih.gov/pubmed/28123859
http://dx.doi.org/10.1371/currents.outbreaks.73d82b08998c6d729c41ef6cdcc80176
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author Viennet, Elvina
Mincham, Gina
Frentiu, Francesca D.
Jansen, Cassie C.
Montgomery, Brian L.
Harley, David
Flower, Robert L.P.
Williams, Craig R.
Faddy, Helen M.
author_facet Viennet, Elvina
Mincham, Gina
Frentiu, Francesca D.
Jansen, Cassie C.
Montgomery, Brian L.
Harley, David
Flower, Robert L.P.
Williams, Craig R.
Faddy, Helen M.
author_sort Viennet, Elvina
collection PubMed
description Introduction: Zika virus could be transmitted in the state of Queensland, Australia, in parts of the state where the mosquito vectors are established. Methods: We assessed the epidemic potential of Zika in Queensland from January 2015 to August 2016, and estimate the epidemic potential from September to December 2016, by calculating the temperature-dependent relative vectorial capacity (rVc), based on empirical and estimated parameters. Results: Through 2015, we estimated a rVc of 0.119, 0.152, 0.170, and 0.175, respectively in the major cities of Brisbane, Rockhampton, Cairns, and Townsville. From January to August 2016, the epidemic potential trend was similar to 2015, however the highest epidemic potential was in Cairns. During September to November 2016, the epidemic potential is consistently the highest in Cairns, followed by Townsville, Rockhampton and Brisbane. Then, from November to December 2016, Townsville has the highest estimated epidemic potential. Discussion: We demonstrate using a vectorial capacity model that ZIKV could have been locally transmitted in Queensland, Australia during 2015 and 2016. ZIKV remains a threat to Australia for the upcoming summer, during the Brazilian Carnival season, when the abundance of vectors is relatively high. Understanding the epidemic potential of local ZIKV transmission will allow better management of threats to blood safety and assessment of public health risk.
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spelling pubmed-52225442017-01-24 Epidemic Potential for Local Transmission of Zika Virus in 2015 and 2016 in Queensland, Australia Viennet, Elvina Mincham, Gina Frentiu, Francesca D. Jansen, Cassie C. Montgomery, Brian L. Harley, David Flower, Robert L.P. Williams, Craig R. Faddy, Helen M. PLoS Curr Research Article Introduction: Zika virus could be transmitted in the state of Queensland, Australia, in parts of the state where the mosquito vectors are established. Methods: We assessed the epidemic potential of Zika in Queensland from January 2015 to August 2016, and estimate the epidemic potential from September to December 2016, by calculating the temperature-dependent relative vectorial capacity (rVc), based on empirical and estimated parameters. Results: Through 2015, we estimated a rVc of 0.119, 0.152, 0.170, and 0.175, respectively in the major cities of Brisbane, Rockhampton, Cairns, and Townsville. From January to August 2016, the epidemic potential trend was similar to 2015, however the highest epidemic potential was in Cairns. During September to November 2016, the epidemic potential is consistently the highest in Cairns, followed by Townsville, Rockhampton and Brisbane. Then, from November to December 2016, Townsville has the highest estimated epidemic potential. Discussion: We demonstrate using a vectorial capacity model that ZIKV could have been locally transmitted in Queensland, Australia during 2015 and 2016. ZIKV remains a threat to Australia for the upcoming summer, during the Brazilian Carnival season, when the abundance of vectors is relatively high. Understanding the epidemic potential of local ZIKV transmission will allow better management of threats to blood safety and assessment of public health risk. Public Library of Science 2016-12-13 /pmc/articles/PMC5222544/ /pubmed/28123859 http://dx.doi.org/10.1371/currents.outbreaks.73d82b08998c6d729c41ef6cdcc80176 Text en © 2017 Viennet, Mincham, Frentiu, Jansen, Montgomery, Harley, Flower, Williams, Faddy, et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Viennet, Elvina
Mincham, Gina
Frentiu, Francesca D.
Jansen, Cassie C.
Montgomery, Brian L.
Harley, David
Flower, Robert L.P.
Williams, Craig R.
Faddy, Helen M.
Epidemic Potential for Local Transmission of Zika Virus in 2015 and 2016 in Queensland, Australia
title Epidemic Potential for Local Transmission of Zika Virus in 2015 and 2016 in Queensland, Australia
title_full Epidemic Potential for Local Transmission of Zika Virus in 2015 and 2016 in Queensland, Australia
title_fullStr Epidemic Potential for Local Transmission of Zika Virus in 2015 and 2016 in Queensland, Australia
title_full_unstemmed Epidemic Potential for Local Transmission of Zika Virus in 2015 and 2016 in Queensland, Australia
title_short Epidemic Potential for Local Transmission of Zika Virus in 2015 and 2016 in Queensland, Australia
title_sort epidemic potential for local transmission of zika virus in 2015 and 2016 in queensland, australia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5222544/
https://www.ncbi.nlm.nih.gov/pubmed/28123859
http://dx.doi.org/10.1371/currents.outbreaks.73d82b08998c6d729c41ef6cdcc80176
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