Evidence map›Paper›PMID 31078330›Full record

ReviewTrends in ecology & evolution2019

An Ecological Framework for Modeling the Geography of Disease Transmission.

Erica E Johnson, Luis E Escobar, Carlos Zambrana-Torrelio

Open access · bronzeAbstract readReview
In one paragraph

Review in Trends in ecology & evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
15.1field-weighted citation impact, top 1% 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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 147 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Habitat Suitability Assessment of Milu (Animals : an open access journal from MDPI · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Analysis of the Current Risk ofTransboundary and emerging diseases · 2025
    Article
  15. Review
  16. Article
  17. Modeling zoonotic and vector-borne viruses.Current opinion in virology · 2024
    Review
  18. Multiscale ecological drivers ofFood and waterborne parasitology · 2024
    Article
  19. 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

3 authors at 3 institutions in 1 country.

Erica E JohnsonEcoHealth Alliance, 460 W. 34th Street, New York, NY, USA; Current Address: Department of Biology, City College of the City University of New York, New York, NY 10031, USA; Graduate Center of the City University of New York, New York, NY 10016, USA.
Luis E EscobarDepartment of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA, USA.
Carlos Zambrana-TorrelioEcoHealth Alliance, 460 W. 34th Street, New York, NY, USA. Electronic address: zambrana@ecohealthalliance.org.
EcoHealth Alliance · USThe Graduate Center, CUNY · USVirginia Tech · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecological niche modeling (ENM) is widely employed in ecology to predict species' potential geographic distributions in relation to their environmental constraints and is rapidly becoming the gold-standard method for disease risk mapping. However, given the biological complexity of disease systems, the traditional ENM framework requires reevaluation. We provide an overview of the application of ENM to disease systems and propose a theoretical framework based on the biological properties of both hosts and parasites to produce reliable outputs resembling disease system distributions. Additionally, we discuss the differences between biological considerations when implementing ENM for distributional ecology and epidemiology. This new framework will help the field of disease ecology and applications of biogeography in the epidemiology of infectious diseases.

Indexed as

EcologyEcosystemGeographydisease biogeographydisease riskecological niche modelinghost-spaceparasites

Identifiers

PMID31078330
PMCPMC7114676
OpenAlexW2944014309

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.