Evidence map›Paper›PMID 30101121›Full record

ReviewVeterinary medicine (Auckland, N.Z.)2015

Global epidemiology of canine rabies: past, present, and future prospects.

Louise H Taylor, Louis H Nel

Open access · goldAbstract readReview
In one paragraph

Review in Veterinary medicine (Auckland, N.Z.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

47 citing papers in PubMed, 88 citations in OpenAlex.

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  18. Global Landscape of Encephalitis: Key Priorities to Reduce Future Disease Burden.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Review
  19. Article
  20. Frontiers in microbiology · 2023
    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

2 authors at 2 institutions in 2 countries.

Louise H TaylorGlobal Alliance for Rabies Control, Manhattan, KS, USA, louise.taylor@rabiescontrol.org.
Louis H NelGlobal Alliance for Rabies Control, Manhattan, KS, USA, louise.taylor@rabiescontrol.org.
Global Alliance for Rabies Control · USUniversity of Pretoria · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rabies virus, a public health scourge from ancient times, is currently responsible for an estimated 59,000 human deaths a year, almost all transmitted via dog bites. It causes considerable economic impacts on developing countries, primarily in Africa and Asia, which can least afford these losses. However, despite its almost 100% case fatality rate, canine rabies is a completely preventable disease, and historic examples of canine rabies elimination in the developed world attest to this. Over the last decade, programs based on eliminating the source of the disease from dogs have shown success in reducing the public health burden of canine rabies in developing countries, notably across Latin America, and this has contributed to the growing evidence base necessary to change attitudes toward the feasibility of global canine rabies elimination. More recently, assessments of the current economic burden of canine rabies and the potential cost savings achievable through mass dog vaccinations have been added to this evidence base. Tools and support are available from the international community to help countries move progressively toward canine rabies elimination, and there is optimism that global freedom from canine rabies can be achieved within the next few decades.

Indexed as

canine rabieseliminationepidemiologyrabies viruszoonosis

Identifiers

PMID30101121
PMCPMC6067664
OpenAlexW2177820736

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.