Evidence map›Paper›PMID 31615986›Full record

ArticleNature communications2019

Impacts of environmental and socio-economic factors on emergence and epidemic potential of Ebola in Africa.

David W Redding, Peter M Atkinson, Andrew A Cunningham, Gianni Lo Iacono, Lina M Moses, James L N Wood, Kate E Jones

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
9.4field-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

47 citing papers in PubMed, 106 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 2 countries.

David W ReddingCentre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, Gower Street, London, WC1E 6BT, UK. d.redding@ucl.ac.uk.ORCID http://orcid.org/0000-0001-8615-1798
Peter M AtkinsonLancaster Environment Centre, Lancaster University, Bailrigg, Lancaster LA4 1YW, UK.
Andrew A CunninghamInstitute of Zoology, Zoological Society of London, Regent's Park, London, NW1 4RY, UK.ORCID http://orcid.org/0000-0002-3543-6504
Gianni Lo IaconoSchool of Veterinary Medicine, University of Surrey, Guildford, UK.ORCID http://orcid.org/0000-0002-6150-2843
Lina M MosesDepartment of Global Community Health and Behavioral Sciences, Tulane University, New Orleans, LA, USA.ORCID http://orcid.org/0000-0003-4292-647X
James L N WoodDepartment of Veterinary Medicine, Disease Dynamics Unit, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-0258-3188
Kate E JonesCentre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, Gower Street, London, WC1E 6BT, UK. kate.e.jones@ucl.ac.uk.ORCID http://orcid.org/0000-0001-5231-3293
Zoological Society of London · GBLancaster University · GBTulane University · USUniversity College London · GBUniversity of Cambridge · GBUniversity of Surrey · GB

Funding

Medical Research Council MR/P025226/1Medical Research Council MR/R02491X/1RCUK | Medical Research Council (MRC) MR/P025226/1RCUK | Natural Environment Research Council (NERC) NE-J001570-1
6 · The paper itself

Abstract

Recent outbreaks of animal-borne emerging infectious diseases have likely been precipitated by a complex interplay of changing ecological, epidemiological and socio-economic factors. Here, we develop modelling methods that capture elements of each of these factors, to predict the risk of Ebola virus disease (EVD) across time and space. Our modelling results match previously-observed outbreak patterns with high accuracy, and suggest further outbreaks could occur across most of West and Central Africa. Trends in the underlying drivers of EVD risk suggest a 1.75 to 3.2-fold increase in the endemic rate of animal-human viral spill-overs in Africa by 2070, given current modes of healthcare intervention. Future global change scenarios with higher human population growth and lower rates of socio-economic development yield a fourfold higher likelihood of epidemics occurring as a result of spill-over events. Our modelling framework can be used to target interventions designed to reduce epidemic risk for many zoonotic diseases.

Indexed as

EnvironmentSocioeconomic FactorsAfricaAnimalsCommunicable Diseases, EmergingDisease OutbreaksEbolavirusEpidemicsHemorrhagic Fever, EbolaHumansRisk FactorsZoonoses

Identifiers

PMID31615986
PMCPMC6794280
OpenAlexW2980399419

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.