{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-2186"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-2186","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Mathematical model for tripledemic disease (COVID-19, RSV, and Influenza)","abstract":"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","abstract_html":"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","abstract_has_math":false,"creators":["Opoku, Foster"],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Wang, Jin","Ma, Ziwei; Gao, Lani; Aniekan, Ebiefung","College of Arts and Sciences"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T05:47:28Z","subjects":["COVID-19 (Disease)--Transmission","Epidemiology--Mathematical models","Influenza--Transmission","Respiratory syncytial virus--Transmission"],"languages":["English","eng"],"rights":[],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/1013","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Wang, Jin","Ma, Ziwei; Gao, Lani; Aniekan, Ebiefung","College of Arts and Sciences"]},{"key":"dc:creator","label":"Author","values":["Opoku, Foster"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-05-01T07:00:00Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"]},{"key":"dc:relation","label":"Dc Relation","values":["Masters Theses and Doctoral Dissertations"]},{"key":"dc:type","label":"Dc Type","values":["Masters theses","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["COVID-19 (Disease)--Transmission","Epidemiology--Mathematical models","Influenza--Transmission","Respiratory syncytial virus--Transmission"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/1013"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Dept. of Mathematics","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."]},{"key":"dc:description.abstract","label":"Abstract","values":["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"]},{"key":"dc:title","label":"Title","values":["Mathematical model for tripledemic disease (COVID-19, RSV, and Influenza)"]}]}],"canonical_facts":{"dc:contributor":["Wang, Jin","Ma, Ziwei; Gao, Lani; Aniekan, Ebiefung","College of Arts and Sciences"],"dc:creator":["Opoku, Foster"],"dc:date":["2025-05-01T07:00:00Z"],"dc:description":["Dept. of Mathematics","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."],"dc:description.abstract":["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"],"dc:identifier":["https://scholar.utc.edu/theses/1013"],"dc:language":["English","eng"],"dc:publisher":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"],"dc:relation":["Masters Theses and Doctoral Dissertations"],"dc:rights":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["COVID-19 (Disease)--Transmission","Epidemiology--Mathematical models","Influenza--Transmission","Respiratory syncytial virus--Transmission"],"dc:title":["Mathematical model for tripledemic disease (COVID-19, RSV, and Influenza)"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:47:28Z"}