Evidence map›Paper›PMID 36589978›Full record

ArticleFrontiers in public health2022

Implementation of the compulsory universal testing scheme in Hong Kong: Mathematical simulations of a household-based pooling approach.

Kei Shing Ng, Jeffrey Man Hin Hon, Stephen Chau Chun Chong, Howard Ho Kan Cheung, Jeffrey Chan, Simon Ching Lam, Benny Yiu Chung Hon

Abstract read
In one paragraph

Article in Frontiers in public health, 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

7 authors.

Kei Shing NgDepartment of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China.
Jeffrey Man Hin HonNVIDIA AI Technology Center (NVAITC), NVIDIA, Santa Clara, CA, United States.
Stephen Chau Chun ChongDepartment of Applied Chemistry, National Chi Nan University, Puli, Taiwan.
Howard Ho Kan CheungDepartment of Mathematics, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China.
Jeffrey ChanKing George V School, Ho Man Tin, Hong Kong SAR, China.
Simon Ching LamSchool of Nursing, Tung Wah College, Ho Man Tin, Hong Kong SAR, China.
Benny Yiu Chung HonDepartment of Mathematics, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to propose a pooling approach to simulate the compulsory universal RT-PCR test in Hong Kong and explore the feasibility of implementing the pooling method on a household basis. The mathematical model is initially verified, and then the simulation is performed under different prevalence rates and pooled sizes. The simulated population is based in Hong Kong. The simulation included 10,000,000 swab samples, with a representative distribution of populations in Hong Kong. The samples were grouped into a batch size of 20. If the entire batch is positive, then the group is further divided into an identical group size of 10 for re-testing. Different combinations of mini-group sizes were also investigated. The proposed pooling method was extended to a household basis. A representative from each household is required to perform the RT-PCR test. Results of the simulation replications, indicate a significant reduction (

Indexed as

COVID-19COVID-19 TestingHong KongHumansPrevalenceSpecimen Handlingcompulsory universal testCOVID-19mass screeningprevalence ratesample poolingsimulation

Identifiers

PMID36589978
PMCPMC9794990

What OpenQuestion holds

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Registered trials

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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.