Evidence map›Paper›PMID 32970786›Full record

ArticlePloS one2020

Global convergence of COVID-19 basic reproduction number and estimation from early-time SIR dynamics.

Gabriel G Katul, Assaad Mrad, Sara Bonetti, Gabriele Manoli, Anthony J Parolari

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  16. Underdetection in a stochastic SIR model for the analysis of the COVID-19 Italian epidemic.Stochastic environmental research and risk assessment : research journal · 2022
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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

5 authors.

Gabriel G KatulNicholas School of the Environment, Duke University, Durham, NC, United States of America.ORCID 0000-0001-9768-3693
Assaad MradNicholas School of the Environment, Duke University, Durham, NC, United States of America.ORCID 0000-0003-4922-4446
Sara BonettiDepartment of Environmental Systems Science, ETH Zürich, Zürich, Switzerland.ORCID 0000-0001-8856-3438
Gabriele ManoliDepartment of Civil, Environmental and Geomatic Engineering, University College London, London, United Kingdom.ORCID 0000-0002-9245-2877
Anthony J ParolariDepartment of Civil, Construction, and Environmental Engineering, Marquette University, Milwaukee, Wisconsin, United States of America.ORCID 0000-0002-1046-6790

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SIR ('susceptible-infectious-recovered') formulation is used to uncover the generic spread mechanisms observed by COVID-19 dynamics globally, especially in the early phases of infectious spread. During this early period, potential controls were not effectively put in place or enforced in many countries. Hence, the early phases of COVID-19 spread in countries where controls were weak offer a unique perspective on the ensemble-behavior of COVID-19 basic reproduction number Ro inferred from SIR formulation. The work here shows that there is global convergence (i.e., across many nations) to an uncontrolled Ro = 4.5 that describes the early time spread of COVID-19. This value is in agreement with independent estimates from other sources reviewed here and adds to the growing consensus that the early estimate of Ro = 2.2 adopted by the World Health Organization is low. A reconciliation between power-law and exponential growth predictions is also featured within the confines of the SIR formulation. The effects of testing ramp-up and the role of 'super-spreaders' on the inference of Ro are analyzed using idealized scenarios. Implications for evaluating potential control strategies from this uncontrolled Ro are briefly discussed in the context of the maximum possible infected fraction of the population (needed to assess health care capacity) and mortality (especially in the USA given diverging projections). Model results indicate that if intervention measures still result in Ro > 2.7 within 44 days after first infection, intervention is unlikely to be effective in general for COVID-19.

Indexed as

Basic Reproduction NumberBetacoronavirusCommunicable Disease ControlCoronavirus InfectionsCOVID-19ForecastingHumansModels, StatisticalPandemicsPneumonia, ViralSARS-CoV-2

Identifiers

PMID32970786
PMCPMC7514051

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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.