Evidence map›Paper›PMID 30575757›Full record

ArticleNature communications2018

Predicting wildlife reservoirs and global vulnerability to zoonotic Flaviviruses.

Pranav S Pandit, Megan M Doyle, Katrina M Smart, Cristin C W Young, Gaylen W Drape, Christine K Johnson

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
13.1field-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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 117 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Targeted molecular screening for protozoan parasites in wild platypuses (International journal for parasitology. Parasites and wildlife · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Tick-borne zoonotic flaviviruses andOne health (Amsterdam, Netherlands) · 2024
    Review
  17. Review
  18. Review
  19. Article
  20. Ocular Manifestations of Flavivirus Infections.Pathogens (Basel, Switzerland) · 2023
    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 at 2 institutions in 1 country.

Pranav S PanditEpiCenter for Disease Dynamics, One Health Institute, School of Veterinary Medicine, University of California Davis, One Shields Ave, CA, 95616, USA. pspandit@ucdavis.edu.ORCID http://orcid.org/0000-0001-7649-0649
Megan M DoyleEpiCenter for Disease Dynamics, One Health Institute, School of Veterinary Medicine, University of California Davis, One Shields Ave, CA, 95616, USA.ORCID http://orcid.org/0000-0002-3784-355X
Katrina M SmartENSCO Inc., 4849 North Wickham Road, Melbourne, FL, 32940, USA.
Cristin C W YoungEpiCenter for Disease Dynamics, One Health Institute, School of Veterinary Medicine, University of California Davis, One Shields Ave, CA, 95616, USA.ORCID http://orcid.org/0000-0002-0470-6321
Gaylen W DrapeENSCO Inc., 4849 North Wickham Road, Melbourne, FL, 32940, USA.
Christine K JohnsonEpiCenter for Disease Dynamics, One Health Institute, School of Veterinary Medicine, University of California Davis, One Shields Ave, CA, 95616, USA. ckjohnson@ucdavis.edu.
Center for Disease Dynamics, Economics & Policy · USEnsco (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flaviviruses continue to cause globally relevant epidemics and have emerged or re-emerged in regions that were previously unaffected. Factors determining emergence of flaviviruses and continuing circulation in sylvatic cycles are incompletely understood. Here we identify potential sylvatic reservoirs of flaviviruses and characterize the macro-ecological traits common to known wildlife hosts to predict the risk of sylvatic flavivirus transmission among wildlife and identify regions that could be vulnerable to outbreaks. We evaluate variability in wildlife hosts for zoonotic flaviviruses and find that flaviviruses group together in distinct clusters with similar hosts. Models incorporating ecological and climatic variables as well as life history traits shared by flaviviruses predict new host species with similar host characteristics. The combination of vector distribution data with models for flavivirus hosts allows for prediction of  global vulnerability to flaviviruses and provides potential targets for disease surveillance in animals and humans.

Indexed as

FlavivirusZoonosesAnimalsAnimals, WildDisease ReservoirsHumansModels, Biological

Identifiers

PMID30575757
PMCPMC6303316
OpenAlexW2904524086

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.