Evidence map›Paper›PMID 35943625›Full record

ArticleBulletin of mathematical biology2022

A Multiscale Model of COVID-19 Dynamics.

Xueying Wang, Sunpeng Wang, Jin Wang, Libin Rong

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Bulletin of mathematical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06402227 (Effectiveness of Board Game on Improving Knowledge, Attitudes and Behavioral Intentions of Infection Control for Senior Elementary School Students), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.4field-weighted citation impact, top 4% 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.

NCT06402227 nacompletednot on this mapstarted 2023, after this paper: background citation

Effectiveness of Board Game on Improving Knowledge, Attitudes and Behavioral Intentions of Infection Control for Senior Elementary School Students: a Randomized Controlled Trial

TypeinterventionalSponsorHU, HUEY-LANRan2023 to 2024Enrolled310ConditionsKnowledge of Infection Control, Attitude of Infection Control, Behavioral Intentions of Infection ControlArmsgamified instruction, conventional lesson lecture
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 33 citations in OpenAlex.

  1. Multiscale modelling of birth-death processes.Journal of mathematical biology · 2026
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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 at 3 institutions in 1 country.

Xueying WangDepartment of Mathematics and Statistics, Washington State University, Pullman, WA, 99163, USA. xueying@math.wsu.edu.ORCID 0000-0001-6445-8887
Sunpeng WangZhengxin Yuguang Group Co. Ltd, 1 Haitang New Street, Chongqing, 400000, China.
Jin WangDepartment of Mathematics, University of Tennessee at Chattanooga, Chattanooga, TN, 37403, USA.
Libin RongDepartment of Mathematics, University of Florida, Gainesville, FL, 32611, USA.
University of Florida · USUniversity of Tennessee at Chattanooga · USWashington State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19, caused by the infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been a global pandemic and created unprecedented public health challenges throughout the world. Despite significant progresses in understanding the disease pathogenesis and progression, the epidemiological triad of pathogen, host, and environment remains unclear. In this paper, we develop a multiscale model to study the coupled within-host and between-host dynamics of COVID-19. The model includes multiple transmission routes (both human-to-human and environment-to-human) and connects multiple scales (both the population and individual levels). A detailed analysis on the local and global dynamics of the fast system, slow system and full system shows that rich dynamics, including both forward and backward bifurcations, emerge with the coupling of viral infection and epidemiological models. Model fitting to both virological and epidemiological data facilitates the evaluation of the influence of a few infection characteristics and antiviral treatment on the spread of the disease. Our work underlines the potential role that the environment can play in the transmission of COVID-19. Antiviral treatment of infected individuals can delay but cannot prevent the emergence of disease outbreaks. These results highlight the implementation of comprehensive intervention measures such as social distancing and wearing masks that aim to stop airborne transmission, combined with surface disinfection and hand hygiene that can prevent environmental transmission. The model also provides a multiscale modeling framework to study other infectious diseases when the environment can serve as a reservoir of pathogens.

Indexed as

COVID-19Antiviral AgentsHumansMathematical ConceptsModels, BiologicalSARS-CoV-2Antiviral AgentsBetween-host dynamicsCOVID-19Multiscale modelWithin-host dynamics

Identifiers

PMID35943625
PMCPMC9360740
OpenAlexW4290729413

What OpenQuestion holds

Textmetadata
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Registered trials

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.