Evidence map›Paper›PMID 31640841›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2019

Spatial variability in the reproduction number of Ebola virus disease, Democratic Republic of the Congo, January-September 2019.

Kenji Mizumoto, Amna Tariq, Kimberlyn Roosa, Jun Kong, Ping Yan, Gerardo Chowell

Abstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
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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

6 authors.

Kenji MizumotoGraduate School of Advanced Integrated Studies in Human Survivability, Kyoto University Yoshida-Nakaadachi-cho, Sakyo-ku, Kyoto, Japan.
Amna TariqDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America.
Kimberlyn RoosaDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America.
Jun KongDepartment of Mathematics and Statistics, Georgia State University, Atlanta, Georgia, United States of America.
Ping YanPublic Health Agency of Canada, Ottawa, Canada.
Gerardo ChowellDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America.

Funding

Computational pathology software for integrative cancer research with three-dimensional digital slidesU01CA242936 · NCI · GEORGIA STATE UNIVERSITY · PI KONG, JUN, WANG, FUSHENG · 2019 to 2021
$1.1M
Quantitative Analysis of GBM Invasion Mechanisms with New Imaging ProtocolK25CA181503 · NCI · GEORGIA STATE UNIVERSITY · PI KONG, JUN · 2014 to 2018
$592k
NCI NIH HHS K25 CA181503
6 · The paper itself

Abstract

The ongoing Ebola virus disease epidemic (August 2018─October 2019) in the Democratic Republic of the Congo, has been exacerbated by deliberate attacks on healthcare workers despite vaccination efforts. Using a mathematical/statistical modelling framework, we present the quantified effective reproduction number (

Indexed as

Basic Reproduction NumberDisease OutbreaksDemocratic Republic of the CongoEbolavirusEpidemicsHealth PersonnelHemorrhagic Fever, EbolaHumansIncidenceModels, StatisticalModels, TheoreticalVaccinationconflictCongoebolaepidemicnext generation matrixoutbreakReproduction numberthreshold

Identifiers

PMID31640841
PMCPMC6807257

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.