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Mathematical model for tripledemic disease (COVID-19, RSV, and Influenza)

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Title: Mathematical model for tripledemic disease (COVID-19, RSV, and Influenza)
Authors: Opoku, Foster
Committee Members: Wang, Jin; Ma, Ziwei; Gao, Lani; Aniekan, Ebiefung; College of Arts and Sciences
Summary: The concurrent circulation of COVID-19, Influenza (Flu), and Respiratory Syncytial Virus (RSV), collectively termed the ”Tripledemic,” poses substantial public health challenges due to their overlapping transmission patterns and compounded healthcare demands. The discovery of COVID-19 vaccines such as Moderna (mRNA-1273, Spikevax) and Johnson & Johnson’s, among other vaccines, has reduced COVID-19 cases but has not completely eradicated the disease. In the 2022-2023 season, the world witnessed a ”tripledemic” of Flu, COVID-19, and RSV. We propose Susceptible-Infectious-Recovered (SIR) and SusceptibleExposed-Infectious-Recovered (SEIR) mathematical models to estimate transmission rates, compute the basic reproduction number, forecast infections, and analyze seasonal variations and comparative transmission dynamics among the three diseases. Our models are applied to seasonal weekly rate cases reported by the CDC from fifteen sites across the United States. Our results indicate that COVID-19 and RSV will eventually die out. However, influenza is expected to continue to circulate
URL: https://scholar.utc.edu/theses/1013
Database: OpenDissertations
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  Availability: 0
Header DbId: ddu
DbLabel: OpenDissertations
An: ddu.oai.scholar.utc.edu.theses.2186
AccessLevel: 6
PubType: Dissertation/ Thesis
PubTypeId: dissertation
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Mathematical model for tripledemic disease (COVID-19, RSV, and Influenza)
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Opoku%2C+Foster%22">Opoku, Foster</searchLink>
– Name: Author
  Label: Committee Members
  Group: Au
  Data: <searchLink fieldCode="CO" term="%22Wang%2C+Jin%22">Wang, Jin</searchLink>; <searchLink fieldCode="CO" term="%22Ma%2C+Ziwei%22">Ma, Ziwei</searchLink>; <searchLink fieldCode="CO" term="%22Gao%2C+Lani%22">Gao, Lani</searchLink>; <searchLink fieldCode="CO" term="%22Aniekan%2C+Ebiefung%22">Aniekan, Ebiefung</searchLink>; <searchLink fieldCode="CO" term="%22College+of+Arts+and+Sciences%22">College of Arts and Sciences</searchLink>
– Name: Abstract
  Label: Summary
  Group: Ab
  Data: The concurrent circulation of COVID-19, Influenza (Flu), and Respiratory Syncytial Virus (RSV), collectively termed the ”Tripledemic,” poses substantial public health challenges due to their overlapping transmission patterns and compounded healthcare demands. The discovery of COVID-19 vaccines such as Moderna (mRNA-1273, Spikevax) and Johnson & Johnson’s, among other vaccines, has reduced COVID-19 cases but has not completely eradicated the disease. In the 2022-2023 season, the world witnessed a ”tripledemic” of Flu, COVID-19, and RSV. We propose Susceptible-Infectious-Recovered (SIR) and SusceptibleExposed-Infectious-Recovered (SEIR) mathematical models to estimate transmission rates, compute the basic reproduction number, forecast infections, and analyze seasonal variations and comparative transmission dynamics among the three diseases. Our models are applied to seasonal weekly rate cases reported by the CDC from fifteen sites across the United States. Our results indicate that COVID-19 and RSV will eventually die out. However, influenza is expected to continue to circulate
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  Data: <link linkTarget="URL" linkTerm="https://scholar.utc.edu/theses/1013" linkWindow="_blank">https://scholar.utc.edu/theses/1013</link>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ddu&AN=ddu.oai.scholar.utc.edu.theses.2186
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: COVID-19 (Disease)--Transmission
        Type: general
      – SubjectFull: Epidemiology--Mathematical models
        Type: general
      – SubjectFull: Influenza--Transmission
        Type: general
      – SubjectFull: Respiratory syncytial virus--Transmission
        Type: general
    Titles:
      – TitleFull: Mathematical model for tripledemic disease (COVID-19, RSV, and Influenza)
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Opoku, Foster
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Type: published
              Y: 2025
ResultId 1