Evidence map›Paper›PMID 36422926›Full record

ArticleTropical medicine and infectious disease2022

Contribution of Testing Strategies and Contact Tracing towards COVID-19 Outbreaks Control: A Mathematical Modeling Study.

Shu-Chen Kuo, Byron Fan, Hongye Zhu, Meng-Hsuan Wu, Fang-Jing Lee, Yu-Chieh Cheng, Hsiao-Yu Wu, Ya-Ting Hsu, Chao A Hsiung, Shiow-Ing Wu and 4 more

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 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
–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

2 citing papers in PubMed.

  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

14 authors.

Shu-Chen KuoNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan 35053, Taiwan.
Byron FanDepartment of Applied Mathematics, Brown University, Providence, RI 02912, USA.ORCID 0000-0002-8373-715X
Hongye ZhuDepartment of Public Health, College of Public Health, National Taiwan University, Taipei 10617, Taiwan.
Meng-Hsuan WuInstitute of Population Health Sciences, National Health Research Institutes, Zhunan 35053, Taiwan.
Fang-Jing LeeInstitute of Population Health Sciences, National Health Research Institutes, Zhunan 35053, Taiwan.
Yu-Chieh ChengInstitute of Population Health Sciences, National Health Research Institutes, Zhunan 35053, Taiwan.
Hsiao-Yu WuInstitute of Population Health Sciences, National Health Research Institutes, Zhunan 35053, Taiwan.
Ya-Ting HsuInstitute of Population Health Sciences, National Health Research Institutes, Zhunan 35053, Taiwan.
Chao A HsiungInstitute of Population Health Sciences, National Health Research Institutes, Zhunan 35053, Taiwan.
Shiow-Ing WuInstitute of Population Health Sciences, National Health Research Institutes, Zhunan 35053, Taiwan.
Wei J ChenCenter for Neuropsychiatric Research, National Health Research Institutes, Zhunan 35053, Taiwan.
Hung-Yi ChiouInstitute of Population Health Sciences, National Health Research Institutes, Zhunan 35053, Taiwan.ORCID 0000-0002-4545-9697
Huey-Kang SytwuNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Zhunan 35053, Taiwan.
Hsiao-Hui TsouInstitute of Population Health Sciences, National Health Research Institutes, Zhunan 35053, Taiwan.ORCID 0000-0001-6773-4111

Funding

National Health Research Institutes, Zhunan, Miaoli County, Taiwan PH-109-PP-02National Health Research Institutes, Zhunan, Miaoli County, Taiwan PH-110-GP-02National Health Research Institutes, Zhunan, Miaoli County, Taiwan PH-110-PP-02National Health Research Institutes, Zhunan, Miaoli County, Taiwan PH-111-GP-02National Health Research Institutes, Zhunan, Miaoli County, Taiwan PH-111-PP-02
6 · The paper itself

Abstract

This modeling study considers different screening strategies, contact tracing, and the severity of novel epidemic outbreaks for various population sizes, providing insight into multinational containment effectiveness of emerging infectious diseases, prior to vaccines development. During the period of the ancestral SARS-Cov-2 virus, contact tracing alone is insufficient to achieve outbreak control. Although universal testing is proposed in multiple nations, its effectiveness accompanied by other measures is rarely examined. Our research investigates the necessity of universal testing when contact tracing and symptomatic screening measures are implemented. We used a stochastic transmission model to simulate COVID-19 transmission, evaluating containment strategies via contact tracing, one-time high risk symptomatic testing, and universal testing. Despite universal testing having the potential to identify subclinical cases, which is crucial for non-pharmaceutical interventions, our model suggests that universal testing only reduces the total number of cases by 0.0009% for countries with low COVID-19 prevalence and 0.025% for countries with high COVID-19 prevalence when rigorous contact tracing and symptomatic screening are also implemented. These findings highlight the effectiveness of testing strategies and contact tracing in reducing COVID-19 cases by identifying subclinical cases.

Indexed as

contact tracingCOVID-19SARS-CoV-2symptomatic screeninguniversal testing

Identifiers

PMID36422926
PMCPMC9693367

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.