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Risk stratification and assessment framework for international travel and border measures amidst the COVID-19 pandemic – A Malaysian perspective
BACKGROUND: Guided by the best practices adapted from national and international bodies including the World Health Organization (WHO), the Centers for Disease Control (CDC), and the UK Joint Biosecurity Centre (JBC), this paper aims to develop and provide an empirical risk stratification and assessm...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949657/ https://www.ncbi.nlm.nih.gov/pubmed/35342008 http://dx.doi.org/10.1016/j.tmaid.2022.102318 |
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author | Omar, Khairul Baha Raja, Dhesi Abdul Taib, Nur Asheila Rajaram, Nadia Ahmed, Jinat Arvinder-Singh, H.S. Mokhtar, Siti Aisah Teo, Alvin Kuo Jing Amir, Lidwina Edwin Chan, Michelle Quek, Yee Theng Ting, Choo-Yee |
author_facet | Omar, Khairul Baha Raja, Dhesi Abdul Taib, Nur Asheila Rajaram, Nadia Ahmed, Jinat Arvinder-Singh, H.S. Mokhtar, Siti Aisah Teo, Alvin Kuo Jing Amir, Lidwina Edwin Chan, Michelle Quek, Yee Theng Ting, Choo-Yee |
author_sort | Omar, Khairul |
collection | PubMed |
description | BACKGROUND: Guided by the best practices adapted from national and international bodies including the World Health Organization (WHO), the Centers for Disease Control (CDC), and the UK Joint Biosecurity Centre (JBC), this paper aims to develop and provide an empirical risk stratification and assessment framework for advancing the safe resumption of global travel during the COVID-19 pandemic. METHOD: Variables included in our model are categorized into four pillars: (i) incidence of cases, (ii) reliability of case data, (iii) vaccination, and (iv) variant surveillance. These measures are combined based on weights that reflect their corresponding importance in risk assessment within the context of the pandemic to calculate the risk score for each country. As a validation step, the outcome of the risk stratification from our model is compared against four countries. RESULTS: Our model is found to have good agreement with these benchmarked risk designations for 27 out of the top 30 countries with the strongest travel ties to Malaysia (90%). Each factor within this model signifies its importance and can be adapted by governing bodies to address the changing needs of border control policies for the recommencement of international travel. CONCLUSION: In practice, the proposed model provides a turnkey solution for nations to manage transmission risk by enabling stakeholders to make informed, evidence-based decisions to minimize fluctuations of imported cases and serves as a structure to support the improvement, planning, and activation of public health control measures. |
format | Online Article Text |
id | pubmed-8949657 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89496572022-03-25 Risk stratification and assessment framework for international travel and border measures amidst the COVID-19 pandemic – A Malaysian perspective Omar, Khairul Baha Raja, Dhesi Abdul Taib, Nur Asheila Rajaram, Nadia Ahmed, Jinat Arvinder-Singh, H.S. Mokhtar, Siti Aisah Teo, Alvin Kuo Jing Amir, Lidwina Edwin Chan, Michelle Quek, Yee Theng Ting, Choo-Yee Travel Med Infect Dis Article BACKGROUND: Guided by the best practices adapted from national and international bodies including the World Health Organization (WHO), the Centers for Disease Control (CDC), and the UK Joint Biosecurity Centre (JBC), this paper aims to develop and provide an empirical risk stratification and assessment framework for advancing the safe resumption of global travel during the COVID-19 pandemic. METHOD: Variables included in our model are categorized into four pillars: (i) incidence of cases, (ii) reliability of case data, (iii) vaccination, and (iv) variant surveillance. These measures are combined based on weights that reflect their corresponding importance in risk assessment within the context of the pandemic to calculate the risk score for each country. As a validation step, the outcome of the risk stratification from our model is compared against four countries. RESULTS: Our model is found to have good agreement with these benchmarked risk designations for 27 out of the top 30 countries with the strongest travel ties to Malaysia (90%). Each factor within this model signifies its importance and can be adapted by governing bodies to address the changing needs of border control policies for the recommencement of international travel. CONCLUSION: In practice, the proposed model provides a turnkey solution for nations to manage transmission risk by enabling stakeholders to make informed, evidence-based decisions to minimize fluctuations of imported cases and serves as a structure to support the improvement, planning, and activation of public health control measures. Elsevier Ltd. 2022 2022-03-25 /pmc/articles/PMC8949657/ /pubmed/35342008 http://dx.doi.org/10.1016/j.tmaid.2022.102318 Text en © 2022 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Omar, Khairul Baha Raja, Dhesi Abdul Taib, Nur Asheila Rajaram, Nadia Ahmed, Jinat Arvinder-Singh, H.S. Mokhtar, Siti Aisah Teo, Alvin Kuo Jing Amir, Lidwina Edwin Chan, Michelle Quek, Yee Theng Ting, Choo-Yee Risk stratification and assessment framework for international travel and border measures amidst the COVID-19 pandemic – A Malaysian perspective |
title | Risk stratification and assessment framework for international travel and border measures amidst the COVID-19 pandemic – A Malaysian perspective |
title_full | Risk stratification and assessment framework for international travel and border measures amidst the COVID-19 pandemic – A Malaysian perspective |
title_fullStr | Risk stratification and assessment framework for international travel and border measures amidst the COVID-19 pandemic – A Malaysian perspective |
title_full_unstemmed | Risk stratification and assessment framework for international travel and border measures amidst the COVID-19 pandemic – A Malaysian perspective |
title_short | Risk stratification and assessment framework for international travel and border measures amidst the COVID-19 pandemic – A Malaysian perspective |
title_sort | risk stratification and assessment framework for international travel and border measures amidst the covid-19 pandemic – a malaysian perspective |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949657/ https://www.ncbi.nlm.nih.gov/pubmed/35342008 http://dx.doi.org/10.1016/j.tmaid.2022.102318 |
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