Evidence map›Paper›PMID 31063098›Full record

ArticleEpidemiology and infection2019

Case-case analyses of cryptosporidiosis and giardiasis using routine national surveillance data in the United States - 2005-2015.

K M Benedict, S A Collier, E P Marder, M C Hlavsa, K E Fullerton, J S Yoder

Open access · hybridAbstract read
In one paragraph

Article in Epidemiology and infection, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Outbreak ofEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    Article
  3. Review
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.

K M BenedictWaterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases,National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention,Atlanta, GA,USA.ORCID 0000-0001-5715-5327
S A CollierWaterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases,National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention,Atlanta, GA,USA.
E P MarderWaterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases,National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention,Atlanta, GA,USA.
M C HlavsaWaterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases,National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention,Atlanta, GA,USA.
K E FullertonWaterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases,National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention,Atlanta, GA,USA.
J S YoderWaterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases,National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention,Atlanta, GA,USA.
Centers for Disease Control and Prevention · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding endemic infectious disease risk factors through traditional epidemiological tools is challenging. Population-based case-control studies are costly and time-consuming. A case-case analyses using surveillance data addresses these limitations by using resources more efficiently. We conducted a case-case analyses using routine surveillance data reported by 16 U.S. states (2005-2015), wherein reported cases of salmonellosis were used as a comparison group to identify exposure associations with reported cases of cryptosporidiosis and giardiasis. Odds ratios adjusted for age and reporting state (aOR) and 95% confidence intervals (95% CI) were calculated. A total of 10 704 cryptosporidiosis cases, 17 544 giardiasis cases, and 106 351 salmonellosis cases were included in this analyses. When compared with cases of salmonellosis, exposure to treated recreational water (aOR 4.7, 95% CI 4.3-5.0) and livestock (aOR: 3.2; 95% CI: 2.9-3.5) were significantly associated with cryptosporidiosis and exposure to untreated drinking (aOR 4.1, 95% CI 3.6-4.7) and recreational water (aOR 4.1, 95% CI 3.7-4.5) were associated with giardiasis. Our analyses shows that routine surveillance data with standardised exposure information can be used to identify associations of interest for cryptosporidiosis and giardiasis.

Indexed as

Population SurveillanceAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCryptosporidiosisCryptosporidiumFemaleGiardiaGiardiasisHumansInfantInfant, NewbornMaleCryptosporidiumgiardiasissurveillance

Identifiers

PMID31063098
PMCPMC6518830
OpenAlexW2938229341

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.