Evidence map›Paper›PMID 35942777›Full record

ArticleMathematical biosciences and engineering : MBE2022

An epidemic-economic model for COVID-19.

Jie Bai, Xiunan Wang, Jin Wang

Abstract read
In one paragraph

Article in Mathematical biosciences and engineering : MBE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Jie BaiSchool of Mathematics and Statistics, Liaoning University, Shenyang 110036, China.
Xiunan WangDepartment of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.
Jin WangDepartment of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA.

Funding

Experimentally Guided Modeling and Simulation for Cholera DynamicsR15GM131315 · NIGMS · UNIVERSITY OF TENNESSEE CHATTANOOGA · PI WANG, JIN · 2019 to 2021
$568k
NIGMS NIH HHS R15 GM131315
6 · The paper itself

Abstract

In this paper, we propose a new mathematical model to study the epidemic and economic consequences of COVID-19, with a focus on the interaction between the disease transmission, the pandemic management, and the economic growth. We consider both the symptomatic and asymptomatic infections and incorporate the effectiveness of disease control into the respective transmission rates. Meanwhile, the progression of the pandemic and the evolution of the susceptible, infectious and recovered population groups directly impact the mitigation and economic development levels. We fit this model to the reported COVID-19 cases and unemployment rates in the US state of Tennessee, as a demonstration of a real-world application of the modeling framework.

Indexed as

COVID-19Asymptomatic InfectionsHumansModels, EconomicPandemicsSARS-CoV-2compartmental modelingCOVID-19data fittingequilibrium analysisthe epidemic and economic consequences

Identifiers

PMID35942777
PMCPMC9373439

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.