Evidence map›Paper›PMID 27058957›Full record

ArticlePLoS pathogens2016

Revealing the Micro-scale Signature of Endemic Zoonotic Disease Transmission in an African Urban Setting.

Hervé Bourhy, Emmanuel Nakouné, Matthew Hall, Pierre Nouvellet, Anthony Lepelletier, Chiraz Talbi, Laurence Watier, Edward C Holmes, Simon Cauchemez, Philippe Lemey and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

44 citing papers in PubMed, 87 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

12 authors at 6 institutions in 5 countries.

Hervé BourhyInstitut Pasteur, Unit Lyssavirus Dynamics and Host Adaptation, WHO Collaborating Centre for Reference and Research on Rabies, Paris, France.
Emmanuel NakounéInstitut Pasteur de Bangui, Bangui, République Centrafricaine.
Matthew HallInstitute of Evolutionary Biology, University of Edinburgh, Ashworth Laboratories, Edinburgh, United Kingdom.
Pierre NouvelletDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Anthony LepelletierInstitut Pasteur, Unit Lyssavirus Dynamics and Host Adaptation, WHO Collaborating Centre for Reference and Research on Rabies, Paris, France.
Chiraz TalbiInstitut Pasteur, Unit Lyssavirus Dynamics and Host Adaptation, WHO Collaborating Centre for Reference and Research on Rabies, Paris, France.
Laurence WatierINSERM, UMR 1181 and Institut Pasteur, B2PHI, Paris, France.
Edward C HolmesMarie Bashir Institute for Infectious Diseases & Biosecurity, Charles Perkins Centre, School of Life and Environmental Sciences and Sydney Medical School, Sydney, Australia.
Simon CauchemezDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Philippe LemeyRega Institute, KU Leuven, Leuven, Belgium.
Christl A DonnellyDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.
Andrew RambautInstitute of Evolutionary Biology, University of Edinburgh, Ashworth Laboratories, Edinburgh, United Kingdom.
Institut Pasteur · FRImperial College London · GBInstitut Pasteur de Bangui · CFMedical Research Council · GBRega Institute for Medical Research · BEUniversity of Edinburgh · GB

Funding

Medical Research Council MR/K010174/1
6 · The paper itself

Abstract

The development of novel approaches that combine epidemiological and genomic data provides new opportunities to reveal the spatiotemporal dynamics of infectious diseases and determine the processes responsible for their spread and maintenance. Taking advantage of detailed epidemiological time series and viral sequence data from more than 20 years reported by the National Reference Centre for Rabies of Bangui, the capital city of Central African Republic, we used a combination of mathematical modeling and phylogenetic analysis to determine the spatiotemporal dynamics of rabies in domestic dogs as well as the frequency of extinction and introduction events in an African city. We show that although dog rabies virus (RABV) appears to be endemic in Bangui, its epidemiology is in fact shaped by the regular extinction of local chains of transmission coupled with the introduction of new lineages, generating successive waves of spread. Notably, the effective reproduction number during each wave was rarely above the critical value of 1, such that rabies is not self-sustaining in Bangui. In turn, this suggests that rabies at local geographic scales is driven by human-mediated dispersal of RABV among sparsely connected peri-urban and rural areas as opposed to dispersion in a relatively large homogenous urban dog population. This combined epidemiological and genomic approach enables development of a comprehensive framework for understanding disease persistence and informing control measures, indicating that control measures are probably best targeted towards areas neighbouring the city that appear as the source of frequent incursions seeding outbreaks in Bangui.

Indexed as

PhylogenyAnimalsCentral African RepublicDisease Transmission, InfectiousDog DiseasesDogsHumansRabiesRabies virusUrban PopulationZoonoses

Identifiers

PMID27058957
PMCPMC4825935
OpenAlexW2319616817

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.