Evidence map›Paper›PMID 35720959›Full record

ArticleIJID regions2022

Title: Factors associated with time lag between symptom onset and reporting in the first epidemic wave of COVID-19 in Osaka, Japan.

Takeshi Miyama, Kensaku Kakimoto, Nobuhiro Iritani, Kazushi Motomura

Open access · goldAbstract read
In one paragraph

Article in IJID regions, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Takeshi MiyamaAuthors' affiliation: Division of Public Health, Osaka Institute of Public Health, 1-3-69 Nakamichiki, Higashinari-ku, Osaka City, Osaka 537-0025, Japan.
Kensaku KakimotoAuthors' affiliation: Division of Public Health, Osaka Institute of Public Health, 1-3-69 Nakamichiki, Higashinari-ku, Osaka City, Osaka 537-0025, Japan.
Nobuhiro IritaniAuthors' affiliation: Division of Public Health, Osaka Institute of Public Health, 1-3-69 Nakamichiki, Higashinari-ku, Osaka City, Osaka 537-0025, Japan.
Kazushi MotomuraAuthors' affiliation: Division of Public Health, Osaka Institute of Public Health, 1-3-69 Nakamichiki, Higashinari-ku, Osaka City, Osaka 537-0025, Japan.
Osaka Prefectural Institute of Public Health · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Longer reporting lags after symptom onset reportedly exert a substantial impact on onward transmission, increasing outbreak probability. Our study investigated the risk factors associated with reporting lag. Methods: Using active epidemiological surveillance data for all symptomatic cases reported in Osaka Prefecture during the first wave of the coronavirus disease 2019 (COVID-19) epidemic (February 1-May 13, 2020), multivariable regression analyses were implemented to estimate the effects of exposure variables on reporting lag, by controlling for potential confounders. Results: Cases in their 30s showed a longer reporting lag than cases ≥ 80 years old. Cases who lived in areas with a high COVID-19 incidence demonstrated a longer reporting lag. Cases with a history of visiting a nightlife district also showed longer reporting lag than cases without such a history. Healthcare workers and cases with immunodeficiency both displayed shorter reporting lags than others. Conclusion: Identifying newly infected cases as soon as possible and increased testing capacity for all age groups, and for individuals with a history of visiting high infection-risk areas, represented important measures in shortening reporting lags in the first wave period. The evidence from this study may provide lessons for controlling future emerging diseases.

Indexed as

COVID-19first epidemic waveJapanreporting lagrisk factor

Identifiers

PMID35720959
PMCPMC9169460
OpenAlexW4283221256

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.