Evidence map›Paper›PMID 36824395›Full record

ArticleInfluenza and other respiratory viruses2023

Estimating the serial intervals of SARS-CoV-2 Omicron BA.4, BA.5, and BA.2.12.1 variants in Hong Kong.

Zihao Guo, Shi Zhao, Carrie Ho Kwan Yam, Conglu Li, Xiaoting Jiang, Tsz Yu Chow, Ka Chun Chong, Eng Kiong Yeoh

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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

8 authors.

Zihao GuoJC School of Public Health and Primary Care, Faculty of Medicine Chinese University of Hong Kong Hong Kong China.ORCID 0000-0001-9002-0483
Shi ZhaoJC School of Public Health and Primary Care, Faculty of Medicine Chinese University of Hong Kong Hong Kong China.
Carrie Ho Kwan YamJC School of Public Health and Primary Care, Faculty of Medicine Chinese University of Hong Kong Hong Kong China.
Conglu LiJC School of Public Health and Primary Care, Faculty of Medicine Chinese University of Hong Kong Hong Kong China.
Xiaoting JiangJC School of Public Health and Primary Care, Faculty of Medicine Chinese University of Hong Kong Hong Kong China.
Tsz Yu ChowJC School of Public Health and Primary Care, Faculty of Medicine Chinese University of Hong Kong Hong Kong China.
Ka Chun ChongJC School of Public Health and Primary Care, Faculty of Medicine Chinese University of Hong Kong Hong Kong China.ORCID 0000-0001-5610-1298
Eng Kiong YeohJC School of Public Health and Primary Care, Faculty of Medicine Chinese University of Hong Kong Hong Kong China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Empirical evidence on the epidemiological characteristics of the emerged SARS-CoV-2 variants could shed light on the transmission potential of the virus and strategic outbreak control planning. In this study, by using contact tracing data collected during an Omicron-predominant epidemic phase in Hong Kong, we estimated the mean serial interval of SARS-CoV-2 Omicron BA.4, BA.5, and BA.2.12.1 variants at 2.8 days (95% credible interval [CrI]: 1.5, 6.7), 2.7 days (95% CrI: 2.1, 3.6), and 4.4 days (95% CrI: 2.6, 7.5), respectively, with adjustment for right truncation and sampling bias. The short serial interval for the current circulating variant indicated that outbreak mitigations through contact tracing and case isolation would be quite challenging.

Indexed as

COVID-19Contact TracingHong KongHumansSARS-CoV-2COVID‐19disease transmissionHong KongSARS‐CoV‐2 omicron variantserial infection interval

Identifiers

PMID36824395
PMCPMC9942273

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Registered trials

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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.