Evidence map›Paper›PMID 33350919›Full record

ArticleEmerging infectious diseases2021

Recency-Weighted Statistical Modeling Approach to Attribute Illnesses Caused by 4 Pathogens to Food Sources Using Outbreak Data, United States.

Michael B Batz, LaTonia C Richardson, Michael C Bazaco, Cary Chen Parker, Stuart J Chirtel, Dana Cole, Neal J Golden, Patricia M Griffin, Weidong Gu, Susan K Schmitt and 3 more

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Cecal Metabolome Profiles of Turkey Poults in Response toAnimals : an open access journal from MDPI · 2025
    Article
  7. Article
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  9. Article
  10. Article
  11. Temporal changes in the proportion ofEpidemiology and infection · 2022
    Article
  12. Article
  13. Evaluation of multiplex nanopore sequencing forFrontiers in microbiology · 2022
    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

13 authors.

Michael B Batz
LaTonia C Richardson
Michael C Bazaco
Cary Chen Parker
Stuart J Chirtel
Dana Cole
Neal J Golden
Patricia M Griffin
Weidong Gu
Susan K Schmitt
Beverly J Wolpert
Joanna S Zablotsky Kufel
R Michael Hoekstra

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foodborne illness source attribution is foundational to a risk-based food safety system. We describe a method for attributing US foodborne illnesses caused by nontyphoidal Salmonella enterica, Escherichia coli O157, Listeria monocytogenes, and Campylobacter to 17 food categories using statistical modeling of outbreak data. This method adjusts for epidemiologic factors associated with outbreak size, down-weights older outbreaks, and estimates credibility intervals. On the basis of 952 reported outbreaks and 32,802 illnesses during 1998-2012, we attribute 77% of foodborne Salmonella illnesses to 7 food categories (seeded vegetables, eggs, chicken, other produce, pork, beef, and fruits), 82% of E. coli O157 illnesses to beef and vegetable row crops, 81% of L. monocytogenes illnesses to fruits and dairy, and 74% of Campylobacter illnesses to dairy and chicken. However, because Campylobacter outbreaks probably overrepresent dairy as a source of nonoutbreak campylobacteriosis, we caution against using these Campylobacter attribution estimates without further adjustment.

Indexed as

Campylobacter InfectionsFoodborne DiseasesGastroenteritisListeria monocytogenesAnimalsCattleDisease OutbreaksFood MicrobiologyUnited Statesanalysis of varianceCampylobacterdisease outbreaksEscherichia coli 0157foodborne diseasesfood safetyListeriamodelsrisk factorsSalmonellastatistical

Identifiers

PMID33350919
PMCPMC7774545

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Registered trials

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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.