Evidence map›Paper›PMID 29211873›Full record

ArticleThe Journal of infectious diseases2018

Association Between Sporadic Legionellosis and River Systems in Connecticut.

Kelsie Cassell, Paul Gacek, Joshua L Warren, Peter A Raymond, Matthew Cartter, Daniel M Weinberger

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Association of Natural Waterways andJournal of patient-centered research and reviews · 2022
    Article
  5. Provincial trends in Legionnaires' disease are not explained by population structure in Denmark, 2015 to 2018.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2021
    Article
  6. Article
  7. Article
  8. Pathogens (Basel, Switzerland) · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Differences in Virulence BetweenFrontiers in cellular and infection microbiology · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Kelsie CassellDepartments of Epidemiology of Microbial Diseases, New Haven, Connecticut.
Paul GacekConnecticut Department of Public Health, Hartford.
Joshua L WarrenDepartments of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
Peter A RaymondYale School of Forestry and Environmental Studies, New Haven, Connecticut.
Matthew CartterConnecticut Department of Public Health, Hartford.
Daniel M WeinbergerDepartments of Epidemiology of Microbial Diseases, New Haven, Connecticut.
Connecticut Department of Public Health · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Background: There has been a dramatic increase in the incidence of sporadic legionnaires' disease in Connecticut since 1999, but the exact reasons for this are unknown. Therefore, there is a growing need to understand the drivers of legionnaires' disease in the community. In this study, we explored the relationship between the natural environment and the spatial and temporal distribution of legionellosis cases in Connecticut. Methods: We used spatial models and time series methods to evaluate factors associated with the increase and clustering of legionellosis in Connecticut. Stream flow, proximity to rivers, and residence in regional watersheds were explored as novel predictors of disease, while controlling for testing intensity and correlates of urbanization. Results: In Connecticut, legionellosis incidence exhibited a strong pattern of spatial clustering. Proximity to several rivers and residence in the corresponding watersheds were associated with increased incidence of the disease. Elevated rainfall and stream flow rate were associated with increases in incidence 2 weeks later. Conclusions: We identified a novel relationship between the natural aquatic environment and the spatial distribution of sporadic cases of legionellosis. These results suggest that natural environmental reservoirs may have a greater influence on the spatial distribution of sporadic legionellosis cases than previously thought.

Indexed as

RiversAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCluster AnalysisConnecticutFemaleFollow-Up StudiesGeographyHumansIncidenceInfantInfant, Newborndrinking waterhydrologyLegionellaLegionnaires’ Diseaseriversspatial analysistime serieswatershed

Identifiers

PMID29211873
PMCPMC6279145
OpenAlexW2771384430

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.