Evidence map›Paper›PMID 29021088›Full record

ArticleDiagnostic microbiology and infectious disease2017

The impact of strain-specific immunity on Lyme disease incidence is spatially heterogeneous.

Camilo E Khatchikian, Robert B Nadelman, John Nowakowski, Ira Schwartz, Gary P Wormser, Dustin Brisson

Abstract read
In one paragraph

Article in Diagnostic microbiology and infectious disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Camilo E KhatchikianDepartment of Biology, University of Pennsylvania, PA; Department of Biological Sciences, University of Texas at El Paso, TX. Electronic address: ckhatchikian@utep.edu.
Robert B NadelmanDivision of Infectious Diseases, Department of Medicine, New York Medical College, Valhalla, NY.
John NowakowskiDivision of Infectious Diseases, Department of Medicine, New York Medical College, Valhalla, NY.
Ira SchwartzDepartment of Microbiology and Immunology, New York Medical College, Valhalla, NY.
Gary P WormserDivision of Infectious Diseases, Department of Medicine, New York Medical College, Valhalla, NY.
Dustin BrissonDepartment of Biology, University of Pennsylvania, PA. Electronic address: dbrisson@sas.upenn.edu.

Funding

TCCG12MD007592 · NIMHD · UNIVERSITY OF TEXAS EL PASO · PI KIRKEN, ROBERT A. · 2012 to 2018
$19.4M
Phylogeographic dynamics of a vector and pathogen in a natural environmentR01AI097137 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI BRISSON, DUSTIN · 2012 to 2016
$1.9M
Causes and consequences of ospC variation in Borrelia burgdorferi to Lyme diseaseR01AI076342 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI BRISSON, DUSTIN · 2008 to 2011
$1.4M
NIAID NIH HHS R01 AI076342NIAID NIH HHS R01 AI097137NIMHD NIH HHS G12 MD007592
6 · The paper itself

Abstract

Lyme disease, caused by the bacterium Borrelia burgdorferi, is the most common tick-borne infection in the US. Recent studies have demonstrated that the incidence of human Lyme disease would have been even greater were it not for the presence of strain-specific immunity, which protects previously infected patients against subsequent infections by the same B. burgdorferi strain. Here, spatial heterogeneity is incorporated into epidemiological models to accurately estimate the impact of strain-specific immunity on human Lyme disease incidence. The estimated reduction in the number of Lyme disease cases is greater in epidemiologic models that explicitly include the spatial distribution of Lyme disease cases reported at the county level than those that utilize nationwide data. strain-specific immunity has the greatest epidemiologic impact in geographic areas with the highest Lyme disease incidence due to the greater proportion of people that have been previously infected and have developed strain-specific immunity.

Indexed as

ImmunityModels, TheoreticalBorrelia burgdorferiGeographyHumansIncidenceLyme DiseaseSpatial AnalysisUnited StatesBorrelia burgdorferiEpidemiologic impactImmunityLyme diseaseSpatial heterogeneity

Identifiers

PMID29021088
PMCPMC5688016

What OpenQuestion holds

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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.