Evidence map›Paper›PMID 35802748›Full record

ArticlePLoS neglected tropical diseases2022

An ecological niche model to predict the geographic distribution of Haemagogus janthinomys, Dyar, 1921 a yellow fever and Mayaro virus vector, in South America.

Michael Celone, David Brooks Pecor, Alexander Potter, Alec Richardson, James Dunford, Simon Pollett

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Mayaro virus pathogenesis and immunity in rhesus macaques.PLoS neglected tropical diseases · 2023
    Article
  10. Review
  11. Review
  12. Article
  13. Review
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

6 authors.

Michael CeloneUniformed Services University of Health Sciences, Bethesda, Maryland, United States of America.
David Brooks PecorDepartment of Entomology, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.ORCID 0000-0002-8900-3392
Alexander PotterDepartment of Entomology, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.ORCID 0000-0003-3039-623X
Alec RichardsonDepartment of Entomology, Walter Reed Army Institute of Research, Silver Spring, Maryland, United States of America.
James DunfordUniformed Services University of Health Sciences, Bethesda, Maryland, United States of America.ORCID 0000-0002-7287-4722
Simon PollettInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland, United States of America.

Funding

DATA CENTER FOR EPIDEMIOLOGIC INVESTIGATIONS OF HIVN01AI005072 · NIAID · NEW ENGLAND RESEARCH INSTITUTES, INC. · PI MCKINLAY, SONJA M · 1990 to 1994
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NIAID NIH HHS Y01 AI005072
6 · The paper itself

Abstract

Yellow fever virus (YFV) has a long history of impacting human health in South America. Mayaro virus (MAYV) is an emerging arbovirus of public health concern in the Neotropics and its full impact is yet unknown. Both YFV and MAYV are primarily maintained via a sylvatic transmission cycle but can be opportunistically transmitted to humans by the bites of infected forest dwelling Haemagogus janthinomys Dyar, 1921. To better understand the potential risk of YFV and MAYV transmission to humans, a more detailed understanding of this vector species' distribution is critical. This study compiled a comprehensive database of 177 unique Hg. janthinomys collection sites retrieved from the published literature, digitized museum specimens and publicly accessible mosquito surveillance data. Covariate analysis was performed to optimize a selection of environmental (topographic and bioclimatic) variables associated with predicting habitat suitability, and species distributions modelled across South America using a maximum entropy (MaxEnt) approach. Our results indicate that suitable habitat for Hg. janthinomys can be found across forested regions of South America including the Atlantic forests and interior Amazon.

Indexed as

AlphavirusCulicidaeMercuryYellow FeverAnimalsBrazilEcosystemHumansMosquito VectorsSouth AmericaYellow fever virusMercury

Identifiers

PMID35802748
PMCPMC9299311

What OpenQuestion holds

Textmetadata
LicenceCC0
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.