Evidence map›Paper›PMID 37457248›Full record

ArticleFrontiers in public health2023

Improved time-varying reproduction numbers using the generation interval for COVID-19.

Tobhin Kim, Hyojung Lee, Sungchan Kim, Changhoon Kim, Hyunjin Son, Sunmi Lee

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. A novel approach to estimatingFrontiers in public health · 2025
    Article
  3. Article
  4. Evolution of COVID-19 dynamics in Guangdong Province, China: an endemic-epidemic modeling study.Archives of public health = Archives belges de sante publique · 2024
    Article
  5. Article
  6. Article
  7. 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

6 authors.

Tobhin Kim *Department of Applied Mathematics, Kyung Hee University, Yongin, Republic of Korea.
Hyojung Lee *Department of Statistics, Kyungpook National University, Daegu, Republic of Korea.
Sungchan KimDepartment of Applied Mathematics, Kyung Hee University, Yongin, Republic of Korea.
Changhoon KimDepartment of Preventive Medicine, College of Medicine, Pusan National University, Busan, Republic of Korea.
Hyunjin SonBusan Center for Infectious Disease Control and Prevention, Pusan National University Hospital, Busan, Republic of Korea.
Sunmi LeeDepartment of Applied Mathematics, Kyung Hee University, Yongin, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating key epidemiological parameters, such as incubation period, serial interval (SI), generation interval (GI) and latent period, is essential to quantify the transmissibility and effects of various interventions of COVID-19. These key parameters play a critical role in quantifying the basic reproduction number. With the hard work of epidemiological investigators in South Korea, estimating these key parameters has become possible based on infector-infectee surveillance data of COVID-19 between February 2020 and April 2021. Herein, the mean incubation period was estimated to be 4.9 days (95% CI: 4.2, 5.7) and the mean generation interval was estimated to be 4.3 days (95% CI: 4.2, 4.4). The mean serial interval was estimated to be 4.3, with a standard deviation of 4.2. It is also revealed that the proportion of presymptomatic transmission was ~57%, which indicates the potential risk of transmission before the disease onset. We compared the time-varying reproduction number based on GI and SI and found that the time-varying reproduction number based on GI may result in a larger estimation of

Indexed as

COVID-19Basic Reproduction NumberHumansReproductionRepublic of KoreaSARS-CoV-2COVID-19generation intervalincubation periodlatent periodpresymptomatic transmissionserial interval

Identifiers

PMID37457248
PMCPMC10348824

What Socratic 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 Socratic graph.