Evidence map›Paper›PMID 33192155›Full record

ArticleBiomath (Sofia, Bulgaria)2019

Modeling outbreak data: Analysis of a 2012 Ebola virus disease epidemic in DRC.

Boseung Choi, Sydney Busch, Dieudonné Kazadi, Benoit Ilunga, Emile Okitolonda, Yi Dai, Robert Lumpkin, Omar Saucedo, Wasiur R KhudaBukhsh, Joseph Tien and 3 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomath (Sofia, Bulgaria), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

13 authors at 5 institutions in 4 countries.

Boseung ChoiDepartment of National Statistics, Korea University Sejoung Campus Sejoung, Republic of Korea.
Sydney BuschDepartment of Mathematics, Augsburg College Minneapolis, MN, USA.
Dieudonné KazadiMinistry of Health, Democratic Republic of the Congo.
Benoit IlungaSchool of Public Health, University of Kinshasa Kinshasa, Democratic Republic of the Congo.
Emile OkitolondaMinistry of Health, Democratic Republic of the Congo.
Yi DaiDivision of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA.
Robert LumpkinDepartment of Mathematics, The Ohio State University, Columbus, OH, USA.
Omar SaucedoMathematical Biosciences Institute, The Ohio State University, Columbus, OH, USA.
Wasiur R KhudaBukhshDivision of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA.
Joseph TienDepartment of Mathematics, The Ohio State University, Columbus, OH, USA.
Marcel YotebiengDivision of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, USA.
Eben KenahDivision of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA.
Grzegorz A RempalaDivision of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA.
The Ohio State University · USMinistry of Public Health · CDAugsburg University · USStatistics Korea · KRUniversity of Kinshasa · CD

Funding

Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2014 to 2018
$12.5M
Regression, Phylogenetics, and Study Design in Infectious Disease EpidemiologyR01AI116770 · NIAID · UNIVERSITY OF FLORIDA · PI KENAH, EBEN · 2016 to 2020
$1.8M
NIAID NIH HHS R01 AI116770NIGMS NIH HHS U54 GM111274
6 · The paper itself

Abstract

We describe two approaches to modeling data from a small to moderate-sized epidemic outbreak. The first approach is based on a branching process approximation and direct analysis of the transmission network, whereas the second one is based on a survival model derived from the classical SIR equations with no explicit transmission information. We compare these approaches using data from a 2012 outbreak of Ebola virus disease caused by

Indexed as

branching processMarkov Chain Monte-Carlo methodsparameter estimationsurvival dynamical system

Identifiers

PMID33192155
PMCPMC7665115
OpenAlexW2980879866

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.