Evidence map›Paper›PMID 29789489›Full record

ArticleInternational journal of environmental research and public health2018

Reconciling the Entomological Hazard and Disease Risk in the Lyme Disease System.

Max McClure, Maria Diuk-Wasser

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Why are the ticks winning, and what can we do about it?Ticks and tick-borne diseases · 2026
    Review
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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

2 authors at 1 institution in 1 country.

Max McClureVagelos College of Physicians & Surgeons, Columbia University, New York, NY 10032, USA. mam2477@cumc.columbia.edu.
Maria Diuk-WasserDepartment of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY 10027, USA. mad2256@columbia.edu.
Columbia University · US

Funding

Babesiosis Emergence in the United StatesR01GM105246 · NIGMS · YALE UNIVERSITY · PI DIUK-WASSER, MARIA ANA · 2012 to 2016
$2.0M
NCEZID CDC HHS U01 CK000509NIGMS NIH HHS R01 GM105246
6 · The paper itself

Abstract

Lyme disease (LD) is a commonly cited model for the link between habitat loss and/or fragmentation and disease emergence, based in part on studies showing that forest patch size is negatively related to LD entomological risk. An equivalent relationship has not, however, been shown between patch size and LD incidence (LDI). Because entomological risk is measured at the patch scale, while LDI is generally assessed in relation to aggregate landscape statistics such as forest cover, we posit that the contribution of individual patches to human LD risk has not yet been directly evaluated. We design a model that directly links theoretical entomological risk at the patch scale to larger-scale epidemiological data. We evaluate its predictions for relative LD risk in artificial landscapes with varying composition and configuration, and test its ability to predict countywide LDI in a 12-county region of New York. On simulated landscapes, we find that the model predicts a unimodal relationship between LD incidence and forest cover, mean patch size, and mean minimum distance (a measure of isolation), and a protective effect for percolation probability (a measure of connectivity). In New York, risk indices generated by this model are significantly related to countywide LDI. The results suggest that the lack of concordance between entomological risk and LDI may be partially resolved by this style of model.

Indexed as

Arachnid VectorsForestsIxodesModels, BiologicalAnimalsEntomologyEnvironmental ExposureHumansIncidenceLyme DiseaseNew YorkRisk AssessmentRisk FactorsbiodiversityBorrelia burgdorferidilution effectentomological riskhabitat fragmentationIxodes scapularislandscapeland useLyme diseasetick

Identifiers

PMID29789489
PMCPMC5982087
OpenAlexW2804365473

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.