Evidence map›Paper›PMID 33112895›Full record

ArticlePloS one2020

Estimation of the percentages of undiagnosed patients of the novel coronavirus (SARS-CoV-2) infection in Hokkaido, Japan by using birth-death process with recursive full tracing.

Takuma Tanaka, Takayuki Yamaguchi, Yohei Sakamoto

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.3field-weighted citation impact, top 34% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Parameter estimation for contact tracing in graph-based models.Journal of the Royal Society, Interface · 2023
    Article
  3. Article
  4. Modelling Analysis of COVID-19 Transmission and the State of Emergency in Japan.International journal of environmental research and public health · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Contact tracing - Old models and new challenges.Infectious Disease Modelling · 2021
    Article
  9. 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 at 2 institutions in 1 country.

Takuma TanakaGraduate School of Data Science, Shiga University, Hikone, Shiga, Japan.ORCID 0000-0003-1898-8064
Takayuki YamaguchiThe Center for Data Science Education and Research, Shiga University, Hikone, Shiga, Japan.
Yohei SakamotoGraduate School of Medicine, The Jikei University School of Medicine, Minato, Tokyo, Japan.
Shiga University · JPJikei University School of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimating the percentages of undiagnosed and asymptomatic patients is essential for controlling the outbreak of SARS-CoV-2, and for assessing any strategy for controlling the disease. In this paper, we propose a novel analysis based on the birth-death process with recursive full tracing. We estimated the numbers of undiagnosed symptomatic patients and the lower bound of the number of total infected individuals per diagnosed patient before and after the declaration of the state of emergency in Hokkaido, Japan. The median of the estimated number of undiagnosed symptomatic patients per diagnosed patient decreased from 1.7 to 0.77 after the declaration, and the median of the estimated lower bound of the number of total infected individuals per diagnosed patient decreased from 4.2 to 2.4. We will discuss the limitations and possible expansions of the model.

Indexed as

BetacoronavirusPandemicsAsymptomatic InfectionsClinical Laboratory TechniquesCluster AnalysisComputer SimulationContact TracingCoronavirus InfectionsCOVID-19COVID-19 TestingDatasets as TopicHumansIslandsJapanModels, TheoreticalPneumonia, Viral

Identifiers

PMID33112895
PMCPMC7592772
OpenAlexW3095104034

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.