Evidence map›Paper›PMID 29181611›Full record

ArticleEcoHealth2017

Human-Wildlife Interactions Predict Febrile Illness in Park Landscapes of Western Uganda.

Jonathan Salerno, Noam Ross, Ria Ghai, Michael Mahero, Dominic A Travis, Thomas R Gillespie, Joel Hartter

Abstract read
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In one paragraph

Article in EcoHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. 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

7 authors.

Jonathan SalernoEnvironmental Studies Program, Sustainability, Energy and Environment Community, University of Colorado Boulder, 4001 Discovery Drive, Boulder, CO, 80303, USA.
Noam RossEcoHealth Alliance, New York, NY, USA.
Ria GhaiDepartment of Environmental Sciences and Program in Population Biology, Ecology and Evolution, Emory University, Atlanta, GA, USA.
Michael MaheroDepartment of Veterinary Population Medicine, University of Minnesota, Minneapolis, MN, USA.
Dominic A TravisDepartment of Veterinary Population Medicine, University of Minnesota, Minneapolis, MN, USA.
Thomas R GillespieDepartment of Environmental Sciences and Program in Population Biology, Ecology and Evolution, Emory University, Atlanta, GA, USA.
Joel HartterEnvironmental Studies Program, Sustainability, Energy and Environment Community, University of Colorado Boulder, 4001 Discovery Drive, Boulder, CO, 80303, USA. joel.harrter@colorado.edu.

Funding

Directorate for Social, Behavioral and Economic Sciences CNH-EX 1114977
6 · The paper itself

Abstract

Fevers of unknown origin complicate treatment and prevention of infectious diseases and are a global health burden. We examined risk factors of self-reported fever-categorized as "malarial" and "nonmalarial"-in households adjacent to national parks across the Ugandan Albertine Rift, a biodiversity and emerging infectious disease hotspot. Statistical models fitted to these data suggest that perceived nonmalarial fevers of unknown origin were associated with more frequent direct contact with wildlife and with increased distance from parks where wildlife habitat is limited to small forest fragments. Perceived malarial fevers were associated with close proximity to parks but were not associated with direct wildlife contact. Self-reported fevers of any kind were not associated with livestock ownership. These results suggest a hypothesis that nonmalarial fevers in this area are associated with wildlife contact, and further investigation of zoonoses from wildlife is warranted. More generally, our findings of land use-disease relationships aid in hypothesis development for future research in this social-ecological system where emerging infectious diseases specifically, and rural public health provisioning generally, are important issues.

Indexed as

Parks, RecreationalAnimalsAnimals, WildCommunicable Diseases, EmergingDiagnosis, DifferentialFeverHumansLivestockMalariaModels, StatisticalPatient Acceptance of Health CarePerceptionPublic Health SurveillanceResidence CharacteristicsSocioeconomic FactorsUgandaCentral AfricaFevers of unknown originHuman–wildlife interactionsMalariaProtected areas

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.