Evidence map›Paper›PMID 33334559›Full record

ArticleThe Lancet. Digital health2020

Fitbit-informed influenza forecasts.

Cecile Viboud, Mauricio Santillana

Erratum issuedAbstract readComment
PubMed Publisher
In one paragraph

Article in The Lancet. Digital health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Novel 2019-coronavirus on new year's Eve.Indian journal of medical microbiology
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Cecile ViboudFogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA. Electronic address: viboudc@mail.nih.gov.
Mauricio SantillanaComputational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.

Funding

Development of an Open-Source and Data-Driven Modeling Platform to Monitor and Forecast Disease ActivityR01GM130668 · NIGMS · NORTHEASTERN UNIVERSITY · PI SANTILLANA, MAURICIO · 2018 to 2022
$1.9M
NIGMS NIH HHS R01 GM130668
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Influenza, HumanVirus DiseasesWearable Electronic DevicesDisease OutbreaksForecastingHumansUnited States

Identifiers

What OpenQuestion holds

Textmetadata
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.