Evidence map›Paper›PMID 29691680›Full record

ArticleEcoHealth2019

Land-Use Change Alters Host and Vector Communities and May Elevate Disease Risk.

Fengyi Guo, Timothy C Bonebrake, Luke Gibson

Abstract read
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In one paragraph

Article in EcoHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Changing landscapes, shifting reservoirs: land-use change andApplied and environmental microbiology · 2026
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  8. Review
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  15. The influence of forest habitat type onCurrent research in parasitology & vector-borne diseases · 2024
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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

3 authors.

Fengyi GuoSchool of Biological Sciences, University of Hong Kong, Hong Kong, China.ORCID 0000-0002-5426-324X
Timothy C BonebrakeSchool of Biological Sciences, University of Hong Kong, Hong Kong, China.
Luke GibsonSchool of Biological Sciences, University of Hong Kong, Hong Kong, China. biodiversity@sustc.edu.cn.ORCID 0000-0002-7706-3355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Land-use change has transformed most of the planet. Concurrently, recent outbreaks of various emerging infectious diseases have raised great attention to the health consequences of anthropogenic environmental degradation. Here, we assessed the global impacts of habitat conversion and other land-use changes on community structures of infectious disease hosts and vectors, using a meta-analysis of 37 studies. From 331 pairwise comparisons of disease hosts/vectors in pristine (undisturbed) and disturbed areas, we found a decrease in species diversity but an increase in body size associated with land-use changes, potentially suggesting higher risk of infectious disease transmission in disturbed habitats. Neither host nor vector abundance, however, changed significantly following disturbance. When grouped by subcategories like disturbance type, taxonomic group, pathogen type and region, changes in host/vector community composition varied considerably. Fragmentation and agriculture in particular benefit host and vector communities and therefore might elevate disease risk. Our results indicate that while habitat disturbance could alter disease host/vector communities in ways that exacerbate pathogen prevalence, the relationship is highly context-dependent and influenced by multiple factors.

Indexed as

BiodiversityDisease VectorsEcosystemAnimalsCommunicable DiseasesDisease SusceptibilityDisease Transmission, InfectiousGlobal HealthRisk Assessmentbiodiversitydeforestationdilution effectdiseasehabitat lossland-use change

Identifiers

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.