Evidence map›Paper›PMID 27049322›Full record

ArticlePloS one2016

Predicting and Evaluating the Epidemic Trend of Ebola Virus Disease in the 2014-2015 Outbreak and the Effects of Intervention Measures.

Zuiyuan Guo, Dan Xiao, Dongli Li, Xiuhong Wang, Yayu Wang, Tiecheng Yan, Zhiqi Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

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  11. Evolutionary ecology of virus emergence.Annals of the New York Academy of Sciences · 2017
    Review
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

7 authors at 3 institutions in 1 country.

Zuiyuan GuoDepartment of Disease Control, Center for Disease Control and Prevention of Shenyang Military Region, Shenyang, Liaoning Province, China.
Dan XiaoDepartment of Epidemiology, Fourth Military Medical University, Xi'an, Shaanxi Province, China.
Dongli LiDepartment of Disease Control, Center for Disease Control and Prevention of Shenyang Military Region, Shenyang, Liaoning Province, China.
Xiuhong WangDepartment of Disease Control, Center for Disease Control and Prevention of Shenyang Military Region, Shenyang, Liaoning Province, China.
Yayu WangDepartment of Disease Control, Center for Disease Control and Prevention of Shenyang Military Region, Shenyang, Liaoning Province, China.
Tiecheng YanDepartment of Disease Control, Center for Disease Control and Prevention of Shenyang Military Region, Shenyang, Liaoning Province, China.
Zhiqi WangCollege of Municipal and Environmental Engineering, Shenyang Jianzhu University, Shenyang, Liaoning Province, China.
Shenyang Center for Disease Control and Prevention · CNAir Force Medical University · CNShenyang Jianzhu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We constructed dynamic Ebola virus disease (EVD) transmission models to predict epidemic trends and evaluate intervention measure efficacy following the 2014 EVD epidemic in West Africa. We estimated the effective vaccination rate for the population, with basic reproduction number (R0) as the intermediate variable. Periodic EVD fluctuation was analyzed by solving a Jacobian matrix of differential equations based on a SIR (susceptible, infective, and removed) model. A comprehensive compartment model was constructed to fit and predict EVD transmission patterns, and to evaluate the effects of control and prevention measures. Effective EVD vaccination rates were estimated to be 42% (31-50%), 45% (42-48%), and 51% (44-56%) among susceptible individuals in Guinea, Liberia and Sierra Leone, respectively. In the absence of control measures, there would be rapid mortality in these three countries, and an EVD epidemic would be likely recur in 2035, and then again 8~9 years later. Oscillation intervals would shorten and outbreak severity would decrease until the periodicity reached ~5.3 years. Measures that reduced the spread of EVD included: early diagnosis, treatment in isolation, isolating/monitoring close contacts, timely corpse removal, post-recovery condom use, and preventing or quarantining imported cases. EVD may re-emerge within two decades without control and prevention measures. Mass vaccination campaigns and control and prevention measures should be instituted to prevent future EVD epidemics.

Indexed as

Disease OutbreaksAfrica, WesternHemorrhagic Fever, EbolaHumansModels, TheoreticalViral VaccinesViral Vaccines

Identifiers

PMID27049322
PMCPMC4822846
OpenAlexW2324190612

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.