Evidence map›Paper›PMID 29364989›Full record

ArticlePloS one2018

Towards the description of livestock mobility in Sahelian Africa: Some results from a survey in Mauritania.

Andrea Apolloni, Gaëlle Nicolas, Caroline Coste, Ahmed Bezeid El Mamy, Barry Yahya, Ahmed Salem El Arbi, Mohamed Baba Gueya, Doumbia Baba, Marius Gilbert, Renaud Lancelot

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

10 authors.

Andrea ApolloniFrench Agricultural Research and International Cooperation Organization for Development (Cirad), Department of Biological Systems (Bios), UMR Animals, Health, Territories, Risks, and Ecosystems (Astre), Campus International de Baillarguet, 34398 Montpellier, France.ORCID 0000-0002-0228-2086
Gaëlle NicolasUniversité Libre de Bruxelles, Spatial epidemiology Lab., 1050 Brussels, Belgium.
Caroline CosteFrench Agricultural Research and International Cooperation Organization for Development (Cirad), Department of Biological Systems (Bios), UMR Animals, Health, Territories, Risks, and Ecosystems (Astre), Campus International de Baillarguet, 34398 Montpellier, France.
Ahmed Bezeid El MamyOffice National de Recherches et de Développement de l'Elevage (ONARDEL), BP 167 Nouakchott, Mauritania.
Barry YahyaOffice National de Recherches et de Développement de l'Elevage (ONARDEL), BP 167 Nouakchott, Mauritania.
Ahmed Salem El ArbiMinistere de l'Elevage, BP 167 Nouakchott, Mauritania.
Mohamed Baba GueyaOffice National de Recherches et de Développement de l'Elevage (ONARDEL), BP 167 Nouakchott, Mauritania.
Doumbia BabaOffice National de Recherches et de Développement de l'Elevage (ONARDEL), BP 167 Nouakchott, Mauritania.
Marius GilbertUniversité Libre de Bruxelles, Spatial epidemiology Lab., 1050 Brussels, Belgium.
Renaud LancelotFrench Agricultural Research and International Cooperation Organization for Development (Cirad), Department of Biological Systems (Bios), UMR Animals, Health, Territories, Risks, and Ecosystems (Astre), Campus International de Baillarguet, 34398 Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding spatio-temporal patterns of host mobility is a key factor to prevent and control animal and human diseases. This is utterly important in low-income countries, where animal disease epidemics have strong socio-economic impacts. In this article we analyzed a livestock mobility database, whose data have been collected by the Centre National d'Elevage et de Recherches Vétérinaires (CNERV) Mauritania, to describe its patterns and temporal evolution. Data were collected through phone and face-to-face interviews in almost all the regions in Mauritania over a period of roughly two weeks during June 2015. The analysis has shown the existence of two mobility patterns throughout the year: the first related to routine movements from January to August; the second strictly connected to the religious festivity of Tabaski that in 2014 occurred at the beginning of October. These mobility patterns are different in terms of animals involved (fewer cattle and dromedaries are traded around Tabaski), the means of transportation (the volume of animals moved by truck raises around Tabaski) and destinations (most of the animals are traded nationally around Tabaski). Due to the differences between these two periods, public health officers, researchers and other stakeholders should take account of the time of the year when implementing vaccination campaigns or creating surveillance networks.

Indexed as

LivestockAnimalsMauritania

Identifiers

PMID29364989
PMCPMC5783398

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.