Evidence map›Paper›PMID 24244769›Full record

ArticlePLoS neglected tropical diseases2013

Data-driven modeling to assess receptivity for Rift Valley Fever virus.

Christopher M Barker, Tianchan Niu, William K Reisen, David M Hartley

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Estimation of Rift Valley fever virus spillover to humans during the Mayotte 2018-2019 epidemic.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Environmental limits of Rift Valley fever revealed using ecoepidemiological mechanistic models.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  16. Article
  17. Article
  18. Review
  19. Rift Valley Fever.Clinics in laboratory medicine · 2017
    Review
  20. Estimating Ixodes ricinus densities on the landscape scale.International journal of health geographics · 2015
    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

4 authors at 3 institutions in 1 country.

Christopher M BarkerCenter for Vectorborne Diseases and Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, Davis, California, United States of America ; Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America.
Tianchan Niu
William K Reisen
David M Hartley
Fogarty International Center · USGeorgetown University · USNational Institutes of Health · US

Funding

Persistence of West Nile virus in CaliforniaR01AI055607 · NIAID · UNIVERSITY OF CALIFORNIA DAVIS · PI REISEN, WILLIAM K · 2003 to 2012
$4.4M
Impact of climate change on mosquito-borne arbovirus transmissionU01EH000418 · EH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BARKER, C M · 2009 to 2011
$830k
NCEH CDC HHS U01 EH000418NCEH CDC HHS U01EH000418NIAID NIH HHS R01 AI055607NIAID NIH HHS R01 AI55607
6 · The paper itself

Abstract

Rift Valley Fever virus (RVFV) is an enzootic virus that causes extensive morbidity and mortality in domestic ruminants in Africa, and it has shown the potential to invade other areas such as the Arabian Peninsula. Here, we develop methods for linking mathematical models to real-world data that could be used for continent-scale risk assessment given adequate data on local host and vector populations. We have applied the methods to a well-studied agricultural region of California with [Formula: see text]1 million dairy cattle, abundant and competent mosquito vectors, and a permissive climate that has enabled consistent transmission of West Nile virus and historically other arboviruses. Our results suggest that RVFV outbreaks could occur from February-November, but would progress slowly during winter-early spring or early fall and be limited spatially to areas with early increases in vector abundance. Risk was greatest in summer, when the areas at risk broadened to include most of the dairy farms in the study region, indicating the potential for considerable economic losses if an introduction were to occur. To assess the threat that RVFV poses to North America, including what-if scenarios for introduction and control strategies, models such as this one should be an integral part of the process; however, modeling must be paralleled by efforts to address the numerous remaining gaps in data and knowledge for this system.

Indexed as

Models, TheoreticalAnimalsCattleCulicidaeNorth AmericaRift Valley FeverRift Valley fever virusTemperatureWest Nile virus

Identifiers

PMID24244769
PMCPMC3828160
OpenAlexW2053869960

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.