Evidence map›Paper›PMID 34221791›Full record

ArticleJournal of general and family medicine2021

Modeling population-wide testing of SARS-CoV-2 for containing COVID-19 pandemic in Okinawa, Japan.

Kazuki Shimizu, Toshikazu Kuniya, Yasuharu Tokuda

Open access · goldAbstract read
In one paragraph

Article in Journal of general and family medicine, 2021. 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
0.6field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Empirical evidence to understand the human factor for effective rapid testing against SARS-CoV-2.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  5. 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 3 institutions in 2 countries.

Kazuki ShimizuDepartment of Health Policy London School of Economics and Political Science London UK.ORCID https://orcid.org/0000-0003-4201-7700
Toshikazu KuniyaGraduate School of System Informatics Kobe University Kobe Japan.
Yasuharu TokudaMuribushi Okinawa Center for Teaching Hospitals Okinawa Japan.ORCID https://orcid.org/0000-0002-9325-7934
Kobe University · JPLondon School of Hygiene & Tropical Medicine · GBOkinawa Red Cross Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To break the chains of SARS-CoV-2 transmission and contain the coronavirus disease 2019 (COVID-19) pandemic, population-wide testing has been practiced in various countries. However, scant research has addressed this topic in Japan. In this modeling exercise, we extracted the number of daily reported cases of COVID-19 in Okinawa from October 1 to November 30, 2020, and explored possible scenarios for decreasing COVID-19 incidence by combining population-wide screening and/or social distancing policy. We reveal that permanent lockdown can be theoretically replaced by mass testing but sufficient target population at an adequate frequency must be mobilized. In addition, solely imposing a circuit breaker will not bring a favorable outcome in the long run, and mass testing presents implications for minimizing a period of lockdown. Our results highlight the importance of incentivizing citizens to join the frequent testing and ensure their appropriate isolation. This study also suggests that early containment of COVID-19 will be feasible in prefectures where the mobility is low and/or can be easily controlled for its geographic characteristics. Rigorous investment in public health will be manifestly vital to contain COVID-19.

Indexed as

asymptomatic: health securitycontainmentCOVID‐19mass testingpublic policy

Identifiers

PMID34221791
PMCPMC8242860
OpenAlexW3159259060

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.