Evidence map›Paper›PMID 33051470›Full record

ArticleScientific data2020

An analecta of visualizations for foodborne illness trends and seasonality.

Ryan B Simpson, Bingjie Zhou, Tania M Alarcon Falconi, Elena N Naumova

Abstract read
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Occurrence ofVeterinary world · 2024
    Article
  5. Review
  6. Article
  7. Global seasonal and pandemic patterns in influenza: An application of longitudinal study designs.International statistical review = Revue internationale de statistique · 2022
    Article
  8. A One Health real-time surveillance system for nowcastingEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    Article
  9. Food and Nutrition Systems Dashboards: A Systematic Review.Advances in nutrition (Bethesda, Md.) · 2022
    Article
  10. Article
  11. Signatures of Cholera Outbreak during the Yemeni Civil War, 2016-2019.International journal of environmental research and public health · 2021
    Article
  12. 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

4 authors.

Ryan B SimpsonTufts University Friedman School of Nutrition Science and Policy, Boston, USA.
Bingjie ZhouTufts University Friedman School of Nutrition Science and Policy, Boston, USA.
Tania M Alarcon FalconiTufts University Friedman School of Nutrition Science and Policy, Boston, USA.
Elena N NaumovaTufts University Friedman School of Nutrition Science and Policy, Boston, USA. elena.naumova@tufts.edu.ORCID 0000-0002-9562-4734

Funding

National Science Foundation (NSF) IGE-1855886ODNI | Intelligence Advanced Research Projects Activity (IARPA) 2017-17072100002United States Department of Agriculture | National Institute of Food and Agriculture (NIFA) 2020-38420-30724
6 · The paper itself

Abstract

Disease surveillance systems worldwide face increasing pressure to maintain and distribute data in usable formats supplemented with effective visualizations to enable actionable policy and programming responses. Annual reports and interactive portals provide access to surveillance data and visualizations depicting temporal trends and seasonal patterns of diseases. Analyses and visuals are typically limited to reporting the annual time series and the month with the highest number of cases per year. Yet, detecting potential disease outbreaks and supporting public health interventions requires detailed spatiotemporal comparisons to characterize spatiotemporal patterns of illness across diseases and locations. The Centers for Disease Control and Prevention's (CDC) FoodNet Fast provides population-based foodborne-disease surveillance records and visualizations for select counties across the US. We offer suggestions on how current FoodNet Fast data organization and visual analytics can be improved to facilitate data interpretation, decision-making, and communication of features related to trend and seasonality. The resulting compilation, or analecta, of 436 visualizations of records and codes are openly available online.

Indexed as

Disease OutbreaksSeasonsDatasets as TopicFoodborne DiseasesHumansPopulation SurveillanceUnited States

Identifiers

PMID33051470
PMCPMC7553952

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.