Evidence map›Paper›PMID 31477707›Full record

ArticleNature communications2019

Technology to advance infectious disease forecasting for outbreak management.

Dylan B George, Wendy Taylor, Jeffrey Shaman, Caitlin Rivers, Brooke Paul, Tara O'Toole, Michael A Johansson, Lynette Hirschman, Matthew Biggerstaff, Jason Asher and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Modeling zoonotic and vector-borne viruses.Current opinion in virology · 2024
    Review
  6. Article
  7. Article
  8. How to avoid a local epidemic becoming a global pandemic.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. The future of zoonotic risk prediction.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. 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

11 authors.

Dylan B GeorgeBNext, IQT Labs, Arlington, VA, USA. dylangeorge@gmail.com.ORCID http://orcid.org/0000-0002-1943-5309
Wendy TaylorRockefeller Foundation, New York, NY, USA.
Jeffrey ShamanClimate and Health Program, Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Caitlin RiversCenter for Health Security, Johns Hopkins University, Baltimore, MD, USA.
Brooke PaulTaivara Ltd, Columbus, OH, USA.
Tara O'TooleBNext, IQT Labs, Arlington, VA, USA.
Michael A JohanssonDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, PR, USA.ORCID http://orcid.org/0000-0002-5090-7722
Lynette HirschmanThe MITRE Corporation, Bedford, MA, USA.
Matthew BiggerstaffInfluenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Jason AsherLeidos, Reston, VA, USA.
Nicholas G ReichDepartment of Biostatistics and Epidemiology, University of Massachusetts-Amherst, Amherst, MA, USA.ORCID http://orcid.org/0000-0003-3503-9899

Funding

Statistical methods for real-time forecasts of infectious disease: expanding dynamic time-series and machine learning approaches for pandemic scenariosR35GM119582 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI Nicholas G Reich · 2016 to 2026
$4.8M
Development and Dissemination of Operational Real-Time Respiratory Virus ForecastU01GM110748 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHAMAN, JEFFREY L · 2014 to 2018
$2.6M
Influenza Outbreak Prediction: Applying Data Assimilation Methodology to Make...R01GM100467 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHAMAN, JEFFREY L · 2011 to 2015
$1.4M
NIGMS NIH HHS R01 GM100467NIGMS NIH HHS R35 GM119582NIGMS NIH HHS U01 GM110748
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Communicable DiseasesComputational BiologyDisease OutbreaksForecastingHumansInformation DisseminationPublic Health

Identifiers

PMID31477707
PMCPMC6718692

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.