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Mathematical Modeling for Removing Border Entry and Quarantine Requirements for COVID-19, Vanuatu
The Pacific Island country of Vanuatu is considering strategies to remove border restrictions implemented during 2020 to prevent imported coronavirus disease. We performed mathematical modeling to estimate the number of infectious travelers who had different entry scenarios and testing strategies. T...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045451/ https://www.ncbi.nlm.nih.gov/pubmed/35271791 http://dx.doi.org/10.3201/eid2805.211757 |
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author | van Gemert, Caroline Tarivonda, Len Tapo, Posikai Samuel Natuman, Sereana Clark, Geoff Mariasua, Joanne Scott, Nick Craig, Adam Abel, Myriam Cornish, Matthew J. Hellard, Margaret Sacks-Davis, Rachel |
author_facet | van Gemert, Caroline Tarivonda, Len Tapo, Posikai Samuel Natuman, Sereana Clark, Geoff Mariasua, Joanne Scott, Nick Craig, Adam Abel, Myriam Cornish, Matthew J. Hellard, Margaret Sacks-Davis, Rachel |
author_sort | van Gemert, Caroline |
collection | PubMed |
description | The Pacific Island country of Vanuatu is considering strategies to remove border restrictions implemented during 2020 to prevent imported coronavirus disease. We performed mathematical modeling to estimate the number of infectious travelers who had different entry scenarios and testing strategies. Travel bubbles and testing on entry have the greatest importation risk reduction. |
format | Online Article Text |
id | pubmed-9045451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-90454512022-05-07 Mathematical Modeling for Removing Border Entry and Quarantine Requirements for COVID-19, Vanuatu van Gemert, Caroline Tarivonda, Len Tapo, Posikai Samuel Natuman, Sereana Clark, Geoff Mariasua, Joanne Scott, Nick Craig, Adam Abel, Myriam Cornish, Matthew J. Hellard, Margaret Sacks-Davis, Rachel Emerg Infect Dis Research Letter The Pacific Island country of Vanuatu is considering strategies to remove border restrictions implemented during 2020 to prevent imported coronavirus disease. We performed mathematical modeling to estimate the number of infectious travelers who had different entry scenarios and testing strategies. Travel bubbles and testing on entry have the greatest importation risk reduction. Centers for Disease Control and Prevention 2022-05 /pmc/articles/PMC9045451/ /pubmed/35271791 http://dx.doi.org/10.3201/eid2805.211757 Text en https://creativecommons.org/licenses/by/4.0/Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Letter van Gemert, Caroline Tarivonda, Len Tapo, Posikai Samuel Natuman, Sereana Clark, Geoff Mariasua, Joanne Scott, Nick Craig, Adam Abel, Myriam Cornish, Matthew J. Hellard, Margaret Sacks-Davis, Rachel Mathematical Modeling for Removing Border Entry and Quarantine Requirements for COVID-19, Vanuatu |
title | Mathematical Modeling for Removing Border Entry and Quarantine Requirements for COVID-19, Vanuatu |
title_full | Mathematical Modeling for Removing Border Entry and Quarantine Requirements for COVID-19, Vanuatu |
title_fullStr | Mathematical Modeling for Removing Border Entry and Quarantine Requirements for COVID-19, Vanuatu |
title_full_unstemmed | Mathematical Modeling for Removing Border Entry and Quarantine Requirements for COVID-19, Vanuatu |
title_short | Mathematical Modeling for Removing Border Entry and Quarantine Requirements for COVID-19, Vanuatu |
title_sort | mathematical modeling for removing border entry and quarantine requirements for covid-19, vanuatu |
topic | Research Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045451/ https://www.ncbi.nlm.nih.gov/pubmed/35271791 http://dx.doi.org/10.3201/eid2805.211757 |
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