Evidence map›Paper›PMID 32574335›Full record

ArticleFrontiers in medicine2020

Growth Rate and Acceleration Analysis of the COVID-19 Pandemic Reveals the Effect of Public Health Measures in Real Time.

Yuri Tani Utsunomiya, Adam Taiti Harth Utsunomiya, Rafaela Beatriz Pintor Torrecilha, Silvana de Cássia Paulan, Marco Milanesi, José Fernando Garcia

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Data-driven analysis and predictive modeling on COVID-19.Concurrency and computation : practice & experience · 2022
    Article
  7. Article
  8. Article
  9. On the global time evolution of the Covid-19 pandemic: Logistic modeling.Technological forecasting and social change · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Pan-African evolution of within- and between-country COVID-19 dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  14. Review
  15. Article
  16. Article
  17. Tracking and predicting the African COVID-19 pandemic.medRxiv : the preprint server for health sciences · 2020
    Article
  18. Article
  19. 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

6 authors at 1 institution in 1 country.

Yuri Tani UtsunomiyaDepartment of Support, Production and Animal Health, School of Veterinary Medicine of Araçatuba, São Paulo State University (Unesp), Araçatuba, Brazil.
Adam Taiti Harth UtsunomiyaInternational Atomic Energy Agency (IAEA) Collaborating Centre on Animal Genomics and Bioinformatics, Araçatuba, Brazil.
Rafaela Beatriz Pintor TorrecilhaInternational Atomic Energy Agency (IAEA) Collaborating Centre on Animal Genomics and Bioinformatics, Araçatuba, Brazil.
Silvana de Cássia PaulanInternational Atomic Energy Agency (IAEA) Collaborating Centre on Animal Genomics and Bioinformatics, Araçatuba, Brazil.
Marco MilanesiInternational Atomic Energy Agency (IAEA) Collaborating Centre on Animal Genomics and Bioinformatics, Araçatuba, Brazil.
José Fernando GarciaDepartment of Support, Production and Animal Health, School of Veterinary Medicine of Araçatuba, São Paulo State University (Unesp), Araçatuba, Brazil.
Universidade Estadual Paulista (Unesp) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

coronavirusgrowth curve analysisHidden Markov Modelmathematical modelingmoving regressionsevere acute respiratory syndrome

Identifiers

PMID32574335
PMCPMC7256166
OpenAlexW3026054723

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.