Evidence map›Paper›PMID 34337194›Full record

ArticleInfectious Disease Modelling2021

Large-scale frequent testing and tracing to supplement control of Covid-19 and vaccination rollout constrained by supply.

Lia Humphrey, Edward W Thommes, Roie Fields, Laurent Coudeville, Naseem Hakim, Ayman Chit, Jianhong Wu, Monica G Cojocaru

Open access · goldAbstract read
In one paragraph

Article in Infectious Disease Modelling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Lia HumphreyDepartment of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada.
Edward W ThommesDepartment of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada.
Roie FieldsDepartment of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada.
Laurent CoudevilleVaccine Epidemiology and Modeling, Sanofi Pasteur, Canada.
Naseem HakimFounder, Covid-Testing.org, Canada.
Ayman ChitSanofi Pasteur & Leslie Dan School of Pharmacy, University of Toronto, Canada.
Jianhong WuDepartment of Mathematics and Statistics, York University, Canada.
Monica G CojocaruDepartment of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada.
University of Guelph · CASanofi (Canada) · CAUniversity of Toronto · CAYork University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-pharmaceutical interventions (NPI) were implemented all around the world in the fight against COVID-19: Social distancing, shelter-in-place, mask wearing, etc. to mitigate transmission, together with testing and contact-tracing to identify, isolate and treat the infected. The majority of countries have relied on the former measures, followed by a ramping up of their testing and tracing capabilities. We present here the cases of South Korea, Italy, Canada and the United States, as a look back to lessons that can be drawn for controlling the pandemic, specifically through the means of testing and tracing. By fitting a disease transmission model to daily case report data in each of the four countries, we first show that their combination of social-distancing and testing/tracing have had a significant impact on the evolution of their first wave of pandemic curves. We then consider the hypothetical scenario where the only NPI measures implemented past the first pandemic wave consisted of isolating individuals due to repeated, country-scale testing and contact tracing, as a mean of lifting social distancing measures without a resurgence of COVID-19. We give estimates on the average isolation rates needed to occur in each country. We find that testing and tracing each individual of a country, on average, every 4.5 days (South Korea), 5.7 days (Canada), 6 days (Italy) and 3.5 days (US), would have been sufficient to mitigate their second pandemic waves. We also considered the situation in Canada to see how a frequent large-scale asymptomatic testing and contact tracing could have been used in combination with vaccination rollout to reduce the infection in the population. This could offer an alternative approach towards preventing and controlling an outbreak when vaccine supply is limited, while testing capacity has been increasingly enhanced.

Indexed as

Pandemic evolution scenariosPandemic modellingTesting frequency policy modelling

Identifiers

PMID34337194
PMCPMC8302824
OpenAlexW3184701950

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.