Evidence map›Paper›PMID 36413921›Full record

ArticleEpidemics2022

Correlation between times to SARS-CoV-2 symptom onset and secondary transmission undermines epidemic control efforts.

Natalie M Linton, Andrei R Akhmetzhanov, Hiroshi Nishiura

Abstract read
In one paragraph

Article in Epidemics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Predicting the effective reproduction number of COVID-19: inference using human mobility, temperature, and risk awareness.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    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

3 authors.

Natalie M LintonKyoto University School of Public Health, Yoshidakonoe-cho, Sakyo-ku, Kyoto city, 606-8501, Japan; Graduate School of Medicine, Hokkaido University, Kita 15 Jo Nishi 7 Chome, Kita-ku, Sapporo-shi, Hokkaido 060-8638, Japan.
Andrei R AkhmetzhanovCollege of Public Health, National Taiwan University, 17 Xu-Zhou Road, Taipei 10055, Taiwan.
Hiroshi NishiuraKyoto University School of Public Health, Yoshidakonoe-cho, Sakyo-ku, Kyoto city, 606-8501, Japan; Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency, Saitama, Japan. Electronic address: nishiura.hiroshi.5r@kyoto-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory coronavirus 2 (SARS-CoV-2) infections have been associated with substantial presymptomatic transmission, which occurs when the generation interval-the time between infection of an individual with a pathogen and transmission of the pathogen to another individual-is shorter than the incubation period-the time between infection and symptom onset. We collected a dataset of 257 SARS-CoV-2 transmission pairs in Japan during 2020 and jointly estimated the mean incubation period of infectors (4.8 days, 95 % CrI: 4.4-5.1 days), mean generation interval to when they infect others (4.3 days, 95 % credible interval [CrI]: 4.0-4.7 days), and the correlation (Kendall's tau: 0.5, 95 % CrI: 0.4-0.6) between these two epidemiological parameters. Our finding of a positive correlation and mean generation interval shorter than the mean infector incubation period indicates ample infectiousness before symptom onset and suggests that reliance on isolation of symptomatic COVID-19 cases as a focal point of control efforts is insufficient to address the challenges posed by SARS-CoV-2 transmission dynamics.

Indexed as

COVID-19EpidemicsHumansJapanSARS-CoV-2Time FactorsCase isolationGeneration intervalIncubation periodJapanMathematical modelingSARS-CoV-2

Identifiers

PMID36413921
PMCPMC9661582

What OpenQuestion holds

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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.