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Influenza and COVID-19 co-infection and vaccine effectiveness against severe cases: a mathematical modeling study.
Liang, Jingyi; Wang, Yangqianxi; Lin, Zhijie; He, Wei; Sun, Jiaxi; Li, Qianyin; Zhang, Mingyi; Chang, Zichen; Guo, Yinqiu; Zeng, Wenting; Liu, Tie; Zeng, Zhiqi; Yang, Zifeng; Hon, Chitin.
Afiliação
  • Liang J; Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macao SAR, China.
  • Wang Y; Respiratory Disease AI Laboratory on Epidemic and Medical Big Data Instrument Applications, Faculty of Innovation Engineering, Macau University of Science and Technology, Macao, Macao SAR, China.
  • Lin Z; Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macao SAR, China.
  • He W; Respiratory Disease AI Laboratory on Epidemic and Medical Big Data Instrument Applications, Faculty of Innovation Engineering, Macau University of Science and Technology, Macao, Macao SAR, China.
  • Sun J; Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macao SAR, China.
  • Li Q; Respiratory Disease AI Laboratory on Epidemic and Medical Big Data Instrument Applications, Faculty of Innovation Engineering, Macau University of Science and Technology, Macao, Macao SAR, China.
  • Zhang M; Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Taipa, Macao SAR, China.
  • Chang Z; Respiratory Disease AI Laboratory on Epidemic and Medical Big Data Instrument Applications, Faculty of Innovation Engineering, Macau University of Science and Technology, Macao, Macao SAR, China.
  • Guo Y; Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
  • Zeng W; State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
  • Liu T; Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
  • Zeng Z; Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
  • Yang Z; Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
  • Hon C; Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases, KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
Front Cell Infect Microbiol ; 14: 1347710, 2024.
Article em En | MEDLINE | ID: mdl-38500506
ABSTRACT

Background:

Influenza A virus have a distinctive ability to exacerbate SARS-CoV-2 infection proven by in vitro studies. Furthermore, clinical evidence suggests that co-infection with COVID-19 and influenza not only increases mortality but also prolongs the hospitalization of patients. COVID-19 is in a small-scale recurrent epidemic, increasing the likelihood of co-epidemic with seasonal influenza. The impact of co-infection with influenza virus and SARS-CoV-2 on the population remains unstudied.

Method:

Here, we developed an age-specific compartmental model to simulate the co-circulation of COVID-19 and influenza and estimate the number of co-infected patients under different scenarios of prevalent virus type and vaccine coverage. To decrease the risk of the population developing severity, we investigated the minimum coverage required for the COVID-19 vaccine in conjunction with the influenza vaccine, particularly during co-epidemic seasons.

Result:

Compared to the single epidemic, the transmission of the SARS-CoV-2 exhibits a lower trend and a delayed peak when co-epidemic with influenza. Number of co-infection cases is higher when SARS-CoV-2 co-epidemic with Influenza A virus than that with Influenza B virus. The number of co-infected cases increases as SARS-CoV-2 becomes more transmissible. As the proportion of individuals vaccinated with the COVID-19 vaccine and influenza vaccines increases, the peak number of co-infected severe illnesses and the number of severe illness cases decreases and the peak time is delayed, especially for those >60 years old.

Conclusion:

To minimize the number of severe illnesses arising from co-infection of influenza and COVID-19, in conjunction vaccinations in the population are important, especially priority for the elderly.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 / 2_ODS3 / 4_TD / 6_ODS3_enfermedades_notrasmisibles Problema de saúde: 1_doencas_nao_transmissiveis / 1_doencas_transmissiveis / 2_enfermedades_transmissibles / 2_muertes_prematuras_enfermedades_notrasmisibles / 4_covid_19 / 4_pneumonia / 6_other_respiratory_diseases Assunto principal: Vírus da Influenza A / Vacinas contra Influenza / Influenza Humana / Coinfecção / COVID-19 Limite: Aged / Humans / Middle aged Idioma: En Revista: Front Cell Infect Microbiol / Front. cell. infect. microbiol / Frontiers in cellular and infection microbiology Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 / 2_ODS3 / 4_TD / 6_ODS3_enfermedades_notrasmisibles Problema de saúde: 1_doencas_nao_transmissiveis / 1_doencas_transmissiveis / 2_enfermedades_transmissibles / 2_muertes_prematuras_enfermedades_notrasmisibles / 4_covid_19 / 4_pneumonia / 6_other_respiratory_diseases Assunto principal: Vírus da Influenza A / Vacinas contra Influenza / Influenza Humana / Coinfecção / COVID-19 Limite: Aged / Humans / Middle aged Idioma: En Revista: Front Cell Infect Microbiol / Front. cell. infect. microbiol / Frontiers in cellular and infection microbiology Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China
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