Evidence map›Paper›PMID 32093043›Full record

ArticleJournal of clinical medicine2020

Risk Assessment of Novel Coronavirus COVID-19 Outbreaks Outside China.

Péter Boldog, Tamás Tekeli, Zsolt Vizi, Attila Dénes, Ferenc A Bartha, Gergely Röst

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 7 pooled it
–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

110 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Pooled it
  7. Estimate of the Basic Reproduction Number for COVID-19: A Systematic Review and Meta-analysis.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2020
    Pooled it
  8. The Risk from Reopening International Travel During a Disease X Pandemic: A Case Study of SARS-CoV-2.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
  9. Article
  10. Article
  11. Review
  12. Observational
  13. A probabilistic epidemiological model for infectious diseases: The case of COVID-19 at global-level.Risk analysis : an official publication of the Society for Risk Analysis · 2023
    Article
  14. Article
  15. Article
  16. Article
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  18. An Improved Genetic Algorithm for Location Allocation Problem with Grey Theory in Public Health Emergencies.International journal of environmental research and public health · 2022
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  19. Article
  20. Article

50 more citing papers are in PubMed but not listed here.

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

6 authors.

Péter BoldogBolyai Institute, University of Szeged, H-6720 Szeged, Hungary.
Tamás TekeliBolyai Institute, University of Szeged, H-6720 Szeged, Hungary.
Zsolt ViziBolyai Institute, University of Szeged, H-6720 Szeged, Hungary.
Attila DénesBolyai Institute, University of Szeged, H-6720 Szeged, Hungary.ORCID 0000-0003-1827-7932
Ferenc A BarthaBolyai Institute, University of Szeged, H-6720 Szeged, Hungary.
Gergely RöstBolyai Institute, University of Szeged, H-6720 Szeged, Hungary.

Funding

Emberi Eroforrások Minisztériuma 20391-3/2018/FEKUSTRATEmberi Eroforrások Minisztériuma EFOP-3.6.1-16-2016-00008Magyar Tudományos Akadémia János Bolyai Research ScholarshipNemzeti Kutatási Fejlesztési és Innovációs Hivatal FK 124016Nemzeti Kutatási Fejlesztési és Innovációs Hivatal KKP 129877Nemzeti Kutatási Fejlesztési és Innovációs Hivatal PD 128363
6 · The paper itself

Abstract

We developed a computational tool to assess the risks of novel coronavirus outbreaks outside of China. We estimate the dependence of the risk of a major outbreak in a country from imported cases on key parameters such as: (i) the evolution of the cumulative number of cases in mainland China outside the closed areas; (ii) the connectivity of the destination country with China, including baseline travel frequencies, the effect of travel restrictions, and the efficacy of entry screening at destination; and (iii) the efficacy of control measures in the destination country (expressed by the local reproduction number R loc ). We found that in countries with low connectivity to China but with relatively high R loc , the most beneficial control measure to reduce the risk of outbreaks is a further reduction in their importation number either by entry screening or travel restrictions. Countries with high connectivity but low R loc benefit the most from policies that further reduce R loc . Countries in the middle should consider a combination of such policies. Risk assessments were illustrated for selected groups of countries from America, Asia, and Europe. We investigated how their risks depend on those parameters, and how the risk is increasing in time as the number of cases in China is growing.

Indexed as

branching processcompartmental modelCOVID-19interventionsnovel coronavirusoutbreakrisk assessmenttransmissiontravel

Identifiers

PMID32093043
PMCPMC7073711

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.