Evidence map›Paper›PMID 38802461›Full record

ArticleScientific reports2024

A novel indicator in epidemic monitoring through a case study of Ebola in West Africa (2014-2016).

Minkyu Kwak, Xiuxiu Sun, Yunju Wi, Kyeongah Nah, Yongkuk Kim, Hongsung Jin

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Minkyu KwakDepartment of Mathematics and Statistics, Chonnam National University, Gwangju, South Korea.
Xiuxiu SunDepartment of Mathematics and Physics, Luoyang Institute of Science and Technology, Henan, China.
Yunju WiDepartment of Mathematics and Statistics, Chonnam National University, Gwangju, South Korea.
Kyeongah NahBusan Center for Medical Mathematics, National Institute of Mathematical Sciences, Busan, South Korea.
Yongkuk KimDepartment of Mathematics, Kyungpook National University, Daegu, South Korea.
Hongsung JinDepartment of Mathematics and Statistics, Chonnam National University, Gwangju, South Korea. hjin@jnu.ac.kr.

Funding

National Institute for Mathematical Sciences NIMS-B24730000National Research Foundation of Korea (NRF) NRF-2017R1D1A3B06032544National Research Foundation of Korea (NRF) NRF-2020R1I1A3071769National Research Foundation of Korea (NRF) NRF-2022R1F1A1063007
6 · The paper itself

Abstract

The E/S (exposed/susceptible) ratio is analyzed in the SEIR model. The ratio plays a key role in understanding epidemic dynamics during the 2014-2016 Ebola outbreak in Sierra Leone and Guinea. The maximum value of the ratio occurs immediately before or after the time-dependent reproduction number (R

Indexed as

EpidemicsHemorrhagic Fever, EbolaAfrica, WesternBasic Reproduction NumberDisease OutbreaksGuineaHumansSierra LeoneCross point (CP)Ebola outbreakSEIR modelTime-dependent reproduction numberTime-dependent transmission rate

Identifiers

PMID38802461
PMCPMC11130319

What OpenQuestion holds

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LicenceCC BY
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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.