Evidence map›Paper›PMID 33750740›Full record

ArticleJournal of medical Internet research2021

Evolving Epidemiological Characteristics of COVID-19 in Hong Kong From January to August 2020: Retrospective Study.

Kin On Kwok, Wan In Wei, Ying Huang, Kai Man Kam, Emily Ying Yang Chan, Steven Riley, Ho Hin Henry Chan, David Shu Cheong Hui, Samuel Yeung Shan Wong, Eng Kiong Yeoh

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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  12. Evolution of Responses to COVID-19 and Epidemiological Characteristics in South Korea.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 3 countries.

Kin On KwokJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-2804-5433
Wan In WeiJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0001-8083-3528
Ying HuangJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0003-1005-7564
Kai Man KamJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0003-0579-0307
Emily Ying Yang ChanJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-8854-5093
Steven RileySchool of Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0001-7904-4804
Ho Hin Henry ChanJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0001-6438-4873
David Shu Cheong HuiStanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0003-4382-2445
Samuel Yeung Shan WongJC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0003-0934-6385
Eng Kiong YeohCentre for Health Systems and Policy Research, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).ORCID 0000-0002-1721-9450
Chinese University of Hong Kong · HKImperial College London · GB

Funding

Medical Research Council MC_PC_19012Medical Research Council MR/J008761/1Medical Research Council MR/R015600/1Wellcome Trust
6 · The paper itself

Abstract

backgroundCOVID-19 has plagued the globe, with multiple SARS-CoV-2 clusters hinting at its evolving epidemiology. Since the disease course is governed by important epidemiological parameters, including containment delays (time between symptom onset and mandatory isolation) and serial intervals (time between symptom onsets of infector-infectee pairs), understanding their temporal changes helps to guide interventions.

objectiveThis study aims to characterize the epidemiology of the first two epidemic waves of COVID-19 in Hong Kong by doing the following: (1) estimating the containment delays, serial intervals, effective reproductive number (R

methodsWe retrieved the official case series and the Apple mobility data of Hong Kong from January-August 2020. The empirical containment delays and serial intervals were fitted to theoretical distributions, and factors associated with their temporal changes were quantified in terms of percentage contribution (the percentage change in the predicted outcome from multivariable regression models relative to a predefined comparator). R

resultsThe two epidemic waves were characterized by imported cases and clusters of local cases, respectively. R

conclusionsFirst, the factors associated with reduced containment delays suggested government-enacted interventions were useful for achieving outbreak control and should be further encouraged. Second, the shorter serial intervals associated with the composite mobility index calls for empirical surveys to disentangle the role of different contact dimensions in disease transmission. Third, the presymptomatic transmission and asymptomatic cases underscore the importance of remaining vigilant about COVID-19. Fourth, the time-varying epidemiological parameters suggest the need to incorporate their temporal variations when depicting the epidemic trajectory. Fifth, the high proportion of transmission events occurring within the same age group supports the ban on gatherings outside of households, and underscores the need for residence-centered preventive measures.

Indexed as

AdultCOVID-19Disease ProgressionFemaleHong KongHumansMalePandemicsRetrospective StudiesSARS-CoV-2Seasonscase studyChinacontainment delayCOVID-19epidemiologyevolving epidemiologyHong Konginterventionpublic healthSARS-CoV-2serial intervaltransmission

Identifiers

PMID33750740
PMCPMC8054773
OpenAlexW3137823872

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.