Evidence map›Paper›PMID 23840512›Full record

ArticlePloS one2013

Rift Valley fever risk map model and seroprevalence in selected wild ungulates and camels from Kenya.

Seth C Britch, Yatinder S Binepal, Mark G Ruder, Henry M Kariithi, Kenneth J Linthicum, Assaf Anyamba, Jennifer L Small, Compton J Tucker, Leonard O Ateya, Abuu A Oriko and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 3% 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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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  7. Seroprevalence ofFrontiers in veterinary science · 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

12 authors at 7 institutions in 2 countries.

Seth C BritchCenter for Medical, Agricultural, and Veterinary Entomology, United States Department of Agriculture, Agricultural Research Service, Gainesville, Florida, United States of America.
Yatinder S Binepal
Mark G Ruder
Henry M Kariithi
Kenneth J Linthicum
Assaf Anyamba
Jennifer L Small
Compton J Tucker
Leonard O Ateya
Abuu A Oriko
Stephen Gacheru
William C Wilson
Kenya Agricultural Research Institute · KEAgricultural Research Service · USNational Aeronautics and Space Administration · USCenter for Grain and Animal Health Research · USCenter for Medical, Agricultural and Veterinary Entomology · USGoddard Space Flight Center · USKenya Wildlife Service · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the first isolation of Rift Valley fever virus (RVFV) in the 1930s, there have been multiple epizootics and epidemics in animals and humans in sub-Saharan Africa. Prospective climate-based models have recently been developed that flag areas at risk of RVFV transmission in endemic regions based on key environmental indicators that precede Rift Valley fever (RVF) epizootics and epidemics. Although the timing and locations of human case data from the 2006-2007 RVF outbreak in Kenya have been compared to risk zones flagged by the model, seroprevalence of RVF antibodies in wildlife has not yet been analyzed in light of temporal and spatial predictions of RVF activity. Primarily wild ungulate serum samples from periods before, during, and after the 2006-2007 RVF epizootic were analyzed for the presence of RVFV IgM and/or IgG antibody. Results show an increase in RVF seropositivity from samples collected in 2007 (31.8%), compared to antibody prevalence observed from 2000-2006 (3.3%). After the epizootic, average RVF seropositivity diminished to 5% in samples collected from 2008-2009. Overlaying maps of modeled RVF risk assessments with sampling locations indicated positive RVF serology in several species of wild ungulate in or near areas flagged as being at risk for RVF. Our results establish the need to continue and expand sero-surveillance of wildlife species Kenya and elsewhere in the Horn of Africa to further calibrate and improve the RVF risk model, and better understand the dynamics of RVFV transmission.

Indexed as

Disease OutbreaksAnimalsAnimals, WildAntibodies, ViralArtiodactylaCamelusEpidemiological MonitoringHumansKenyaPrevalenceRift Valley FeverRift Valley fever virusRiskSeroepidemiologic StudiesAntibodies, Viral

Identifiers

PMID23840512
PMCPMC3695998
OpenAlexW2054583881

What OpenQuestion holds

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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.