Evidence map›Paper›PMID 23036435›Full record

ReviewParasitology2012

Spatial parasite ecology and epidemiology: a review of methods and applications.

Rachel L Pullan, Hugh J W Sturrock, Ricardo J Soares Magalhães, Archie C A Clements, Simon J Brooker

Open access · bronzeAbstract readReview
In one paragraph

Review in Parasitology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Animals : an open access journal from MDPI · 2021
    Article
  13. Article
  14. Article
  15. Epidemiological Factors Associated WithFrontiers in veterinary science · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. The problem of scale in the prediction and management of pathogen spillover.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  20. 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

5 authors at 2 institutions in 3 countries.

Rachel L PullanLondon School of Hygiene and Tropical Medicine, London, UK. rachel.pullan@lshtm.ac.uk
Hugh J W Sturrock
Ricardo J Soares Magalhães
Archie C A Clements
Simon J Brooker
London School of Hygiene & Tropical Medicine · GBUniversity of Queensland · AU

Funding

Wellcome Trust 081673Wellcome Trust 092654Wellcome Trust 098045
6 · The paper itself

Abstract

The distributions of parasitic diseases are determined by complex factors, including many that are distributed in space. A variety of statistical methods are now readily accessible to researchers providing opportunities for describing and ultimately understanding and predicting spatial distributions. This review provides an overview of the spatial statistical methods available to parasitologists, ecologists and epidemiologists and discusses how such methods have yielded new insights into the ecology and epidemiology of infection and disease. The review is structured according to the three major branches of spatial statistics: continuous spatial variation; discrete spatial variation; and spatial point processes.

Indexed as

Spatial AnalysisAnimalsCluster AnalysisEcologyHumansModels, BiologicalModels, StatisticalParasitic DiseasesParasitology

Identifiers

PMID23036435
PMCPMC3526959
OpenAlexW2102790386

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.