Evidence map›Paper›PMID 28351702›Full record

ArticleJournal of theoretical biology2017

Effects of operational decisions on the diffusion of epidemic disease: A system dynamics modeling of the MERS-CoV outbreak in South Korea.

Nina Shin, Taewoo Kwag, Sangwook Park, Yon Hui Kim

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. 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

4 authors.

Nina ShinGraduate School of Business, Seoul National University 1 Gwankak-ro, Gwanak-gu, 08826, Seoul, Republic of Korea. Electronic address: ninaful@snu.ac.kr.
Taewoo KwagExecutive Director, Healthcare R&D, G-Doc Partners 78, Donggwang-ro 27-gil, Seocho-gu, 06582, Seoul, Republic of Korea. Electronic address: theokwak7@gmail.com.
Sangwook ParkGraduate School of Business, Seoul National University 1 Gwankak-ro, Gwanak-gu, 08826, Seoul, Republic of Korea. Electronic address: sangpark@snu.ac.kr.
Yon Hui KimExecutive Director, Business Development, Corestem Inc., 24 Pangyo-ro 255beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13486 Republic of Korea. Electronic address: yonhuisarahkim@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated the nosocomial outbreak of Middle East Respiratory Syndrome (MERS) Coronavirus (CoV) in the Republic of Korea, 2015, from a healthcare operations management perspective. Establishment of healthcare policy in South Korea provides patients' freedom to select and visit multiple hospitals. Current policy enforces hospitals preference for multi-patient rooms to single-patient rooms, to lower financial burden. Existing healthcare systems tragically contributed to 186 MERS outbreak cases, starting from single "index patient" into three generations of secondary infections. By developing a macro-level health system dynamics model, we provide empirical knowledge to examining the case from both operational and financial perspectives. In our simulation, under base infectivity scenario, high emergency room occupancy circumstance contributed to an estimated average of 101 (917%) more infected patients, compared to when in low occupancy circumstance. Economic patient room design showed an estimated 702% increase in the number of infected patients, despite the overall 98% savings in total expected costs compared to optimal room design. This study provides first time, system dynamics model, performance measurements from an operational perspective. Importantly, the intent of this study was to provide evidence to motivate public, private, and government healthcare administrators' recognition of current shortcomings, to optimize performance as a whole system, rather than mere individual aspects.

Indexed as

Delivery of Health CareModels, TheoreticalSystems AnalysisCoronavirus InfectionsDisease OutbreaksHealth Facility AdministratorsHospital Design and ConstructionHumansMiddle East Respiratory Syndrome CoronavirusRepublic of KoreaHealth care operations planningKorean MERS outbreakOperational decision-based modelingPatient-care performanceSystem dynamics

Identifiers

PMID28351702
PMCPMC7094130

What OpenQuestion holds

Textmetadata
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Registered trials

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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.