Evidence map›Paper›PMID 31310198›Full record

ReviewThe Journal of general virology2019

Rift Valley fever: biology and epidemiology.

Daniel Wright, Jeroen Kortekaas, Thomas A Bowden, George M Warimwe

Open access · greenAbstract readReview
In one paragraph

Review in The Journal of general virology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 3 pooled it
8.7field-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

139 citing papers in PubMed, 3 syntheses or guidelines pooled it, 189 citations in OpenAlex.

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79 more citing papers are in PubMed but not listed here.

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 3 countries.

Daniel WrightKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Jeroen KortekaasWageningen Bioveterinary Research, Lelystad, The Netherlands.
Thomas A BowdenWellcome Centre for Human Genetics, Division of Structural Biology, University of Oxford, Oxford OX1 2JD, UK.
George M WarimweKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Kenya Medical Research Institute · KECentre for Human Genetics · GBWageningen University & Research · NL

Funding

Medical Research Council MR/L009528/1Medical Research Council MR/S007555/1Wellcome Trust 203077
6 · The paper itself

Abstract

Rift Valley fever (RVF) is a mosquito-borne viral zoonosis that was first discovered in Kenya in 1930 and is now endemic throughout multiple African countries and the Arabian Peninsula. RVF virus primarily infects domestic livestock (sheep, goats, cattle) causing high rates of neonatal mortality and abortion, with human infection resulting in a wide variety of clinical outcomes, ranging from self-limiting febrile illness to life-threatening haemorrhagic diatheses, and miscarriage in pregnant women. Since its discovery, RVF has caused many outbreaks in Africa and the Arabian Peninsula with major impacts on human and animal health. However, options for the control of RVF outbreaks are limited by the lack of licensed human vaccines or therapeutics. For this reason, RVF is prioritized by the World Health Organization for urgent research and development of countermeasures for the prevention and control of future outbreaks. In this review, we highlight the current understanding of RVF, including its epidemiology, pathogenesis, clinical manifestations and status of vaccine development.

Indexed as

AnimalsHumansRift Valley FeverRift Valley fever virusZoonosesepidemiologyone healthpathogenesisRift Valley fevertransmissionvaccine

Identifiers

PMID31310198
PMCPMC7613496
OpenAlexW2958578463

What OpenQuestion holds

Textmetadata
LicenceTDM
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.