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Construction of the Infection Curve of Local Cases of COVID-19 in Hong Kong using Back-Projection

This study aimed to estimate the infection curve of local cases of the coronavirus disease (COVID-19) in Hong Kong and identify major events and preventive measures associated with the trajectory of the infection curve in the first two waves. The daily number of onset local cases was used to estimat...

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Detalles Bibliográficos
Autores principales: Chau, Pui Hing, Li, Wei Ying, Yip, Paul S. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7557805/
https://www.ncbi.nlm.nih.gov/pubmed/32967321
http://dx.doi.org/10.3390/ijerph17186909
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author Chau, Pui Hing
Li, Wei Ying
Yip, Paul S. F.
author_facet Chau, Pui Hing
Li, Wei Ying
Yip, Paul S. F.
author_sort Chau, Pui Hing
collection PubMed
description This study aimed to estimate the infection curve of local cases of the coronavirus disease (COVID-19) in Hong Kong and identify major events and preventive measures associated with the trajectory of the infection curve in the first two waves. The daily number of onset local cases was used to estimate the daily number of infections based on back-projection. The estimated infection curve was examined to identify the preventive measures or major events associated with its trajectory. Until 30 April 2020, there were 422 confirmed local cases. The infection curve of the local cases in Hong Kong was constructed and used for evaluating the impacts of various policies and events in a narrative manner. Social gatherings and some pre-implementation announcements on inbound traveler policies coincided with peaks on the infection curve.
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spelling pubmed-75578052020-10-22 Construction of the Infection Curve of Local Cases of COVID-19 in Hong Kong using Back-Projection Chau, Pui Hing Li, Wei Ying Yip, Paul S. F. Int J Environ Res Public Health Article This study aimed to estimate the infection curve of local cases of the coronavirus disease (COVID-19) in Hong Kong and identify major events and preventive measures associated with the trajectory of the infection curve in the first two waves. The daily number of onset local cases was used to estimate the daily number of infections based on back-projection. The estimated infection curve was examined to identify the preventive measures or major events associated with its trajectory. Until 30 April 2020, there were 422 confirmed local cases. The infection curve of the local cases in Hong Kong was constructed and used for evaluating the impacts of various policies and events in a narrative manner. Social gatherings and some pre-implementation announcements on inbound traveler policies coincided with peaks on the infection curve. MDPI 2020-09-21 2020-09 /pmc/articles/PMC7557805/ /pubmed/32967321 http://dx.doi.org/10.3390/ijerph17186909 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chau, Pui Hing
Li, Wei Ying
Yip, Paul S. F.
Construction of the Infection Curve of Local Cases of COVID-19 in Hong Kong using Back-Projection
title Construction of the Infection Curve of Local Cases of COVID-19 in Hong Kong using Back-Projection
title_full Construction of the Infection Curve of Local Cases of COVID-19 in Hong Kong using Back-Projection
title_fullStr Construction of the Infection Curve of Local Cases of COVID-19 in Hong Kong using Back-Projection
title_full_unstemmed Construction of the Infection Curve of Local Cases of COVID-19 in Hong Kong using Back-Projection
title_short Construction of the Infection Curve of Local Cases of COVID-19 in Hong Kong using Back-Projection
title_sort construction of the infection curve of local cases of covid-19 in hong kong using back-projection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7557805/
https://www.ncbi.nlm.nih.gov/pubmed/32967321
http://dx.doi.org/10.3390/ijerph17186909
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