Evidence map›Paper›PMID 26633445›Full record

ReviewInternational journal of environmental research and public health2015

GIS and Remote Sensing Use in the Exploration of Lyme Disease Epidemiology.

Esra Ozdenerol

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Environment Changes, Aflatoxins, and Health Issues, a Review.International journal of environmental research and public health · 2020
    Review
  8. Article
  9. Modelling and mapping tick dynamics using volunteered observations.International journal of health geographics · 2017
    Article
  10. 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

1 author.

Esra OzdenerolDepartment of Earth Sciences, University of Memphis, Memphis, TN 38152, USA. eozdenrl@memphis.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the relatively recent recognition of Lyme disease (LD) by CDC in 1990 as a nationally notifiable infectious condition, the rise of reported human cases every year argues for a better understanding of its geographic scope. The aim of this inquiry was to explore research conducted on spatiotemporal patterns of Lyme disease in order to identify strategies for implementing vector and reservoir-targeted interventions. The focus of this review is on the use of GIS-based methods to study populations of the reservoir hosts, vectors and humans in addition to the spatiotemporal interactions between these populations. New GIS-based studies are monitoring occurrence at the macro-level, and helping pinpoint areas of occurrence at the micro-level, where spread within populations of reservoir hosts, clusters of infected ticks and tick to human transmission may be better understood.

Indexed as

Disease ReservoirsEcosystemGeographic Information SystemsGeographic MappingRemote Sensing TechnologyTicksAnimalsHumansLyme DiseaseMaps as Topicgeographic distributionLyme diseaserisk modelingspatiotemporal patterntick habitat

Identifiers

PMID26633445
PMCPMC4690907

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.