Socioeconomic Patterns of COVID-19 Clusters in Low-Incidence City, Hong Kong

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Gary K.K. Chung
  • Yat-Hang Chan
  • Jean Woo
  • Hung Wong
  • Samuel Y. Wong
  • Eng Kiong Yeoh
  • Michael Marmot
  • Roger Y. Chung

Detail(s)

Original languageEnglish
Pages (from-to)2874-2877
Journal / PublicationEmerging Infectious Diseases
Volume27
Issue number11
Online published1 Sep 2021
Publication statusPublished - Nov 2021

Link(s)

Abstract

Although coronavirus disease (COVID-19) outbreaks have been relatively well controlled in Hong Kong, containment remains challenging among socioeconomically disadvantaged persons. They are at higher risk for widespread COVID-19 transmission through sizable clustering, probably because of exposure to social settings in which existing mitigation policies had differential socioeconomic effects.

Research Area(s)

Bibliographic Note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Citation Format(s)

Socioeconomic Patterns of COVID-19 Clusters in Low-Incidence City, Hong Kong. / Chung, Gary K.K.; Chan, Siu-Ming; Chan, Yat-Hang; Woo, Jean; Wong, Hung; Wong, Samuel Y.; Yeoh, Eng Kiong; Marmot, Michael; Chung, Roger Y.

In: Emerging Infectious Diseases, Vol. 27, No. 11, 11.2021, p. 2874-2877.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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