Evidence map›Paper›PMID 35118149›Full record

ArticleFrontiers in veterinary science2021

Capacity Building Efforts for Rabies Diagnosis in Resource-Limited Countries in Sub-Saharan Africa: A Case Report of the Central Veterinary Laboratory in Benin (Parakou).

Fidelia Djegui, Morgane Gourlaouen, Andre Coetzer, Rachidatou Adjin, Rogatien Tohozin, Stefania Leopardi, Stephanie Mauti, Yao Akpo, Corneille Gnanvi, Louis H Nel and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

11 authors at 6 institutions in 4 countries.

Fidelia DjeguiLaboratoire de Diagnostic Vétérinaire et de Sérosurveillance de Parakou (LADISERO), Parakou, Benin.
Morgane GourlaouenThe Food and Agriculture Organization of the United Nations (FAO) and National Reference Centre for Rabies, The World Organisation for Animal Health (OIE) Collaborating Centre for Diseases at the Animal-Human Interface, Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università, Legnaro, Italy.
Andre CoetzerDepartment of Biochemistry, Genetics and Microbiology, Faculty of Natural and Agricultural Sciences, University of Pretoria, Pretoria, South Africa.
Rachidatou AdjinLaboratoire de Diagnostic Vétérinaire et de Sérosurveillance de Parakou (LADISERO), Parakou, Benin.
Rogatien TohozinLaboratoire de Diagnostic Vétérinaire et de Sérosurveillance de Parakou (LADISERO), Parakou, Benin.
Stefania LeopardiThe Food and Agriculture Organization of the United Nations (FAO) and National Reference Centre for Rabies, The World Organisation for Animal Health (OIE) Collaborating Centre for Diseases at the Animal-Human Interface, Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università, Legnaro, Italy.
Stephanie MautiDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.
Yao AkpoDirection des Services Vétérinaires, Cotonou, Benin.
Corneille GnanviDirection des Services Vétérinaires, Cotonou, Benin.
Louis H NelDepartment of Biochemistry, Genetics and Microbiology, Faculty of Natural and Agricultural Sciences, University of Pretoria, Pretoria, South Africa.
Paola De BenedictisThe Food and Agriculture Organization of the United Nations (FAO) and National Reference Centre for Rabies, The World Organisation for Animal Health (OIE) Collaborating Centre for Diseases at the Animal-Human Interface, Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università, Legnaro, Italy.
Université de Parakou · BJIstituto Zooprofilattico Sperimentale delle Venezie · ITProgamme National Contre le Tuberculose · BJUniversity of Pretoria · ZAFood and Agriculture Organization of the United Nations · ITSwiss Tropical and Public Health Institute · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rabies has been listed as a priority zoonotic disease in many African countries and the countdown to reach the goal of eliminating dog-mediated human rabies deaths by 2030 means that disease control measures need to be applied fast. In this context, an essential pillar of any national plan to control rabies is the implementation of reliable diagnostic techniques to ensure the success of field surveillance systems. Although many African countries have received international support for the control of rabies-some countries, like Benin, have not received a similar level of support. Indeed, until 2018, Benin was not able to diagnose rabies and rabies diagnosis in animals as well as humans relied solely on observed clinical symptoms. Although the Central Veterinary Laboratory (CVL) of Parakou had the equipment to implement two recommended tests, the lack of specific reagents and skills prevented the implementation of a rabies diagnostic service. Here we present the joint efforts of the national authorities in Benin, intergovernmental agencies, and non-governmental organizations to assess the strengths and weaknesses of the government's rabies control efforts. We have applied the Stepwise Approach toward Rabies Elimination (SARE) analysis, implemented rabies diagnostic capacities at the CVL of Parakou, characterized strains of rabies virus circulating in Benin, and finally integrated an inter-laboratory comparison program.

Indexed as

capacity buildingphylogenetic analysis (phylogeny)rabies diagnosticrabies eliminationsurveillance

Identifiers

PMID35118149
PMCPMC8805029
OpenAlexW4205652955

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.