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Epidemiological and economic impact of pandemic influenza in Chicago: Priorities for vaccine interventions.
Dorratoltaj, Nargesalsadat; Marathe, Achla; Lewis, Bryan L; Swarup, Samarth; Eubank, Stephen G; Abbas, Kaja M.
Afiliación
  • Dorratoltaj N; Department of Population Health Sciences, Virginia Tech, Blacksburg, VA, United States of America.
  • Marathe A; Network Dynamics and Simulation Science Lab, Biocomplexity Institute, Virginia Tech, Blacksburg, VA, United States of America.
  • Lewis BL; Network Dynamics and Simulation Science Lab, Biocomplexity Institute, Virginia Tech, Blacksburg, VA, United States of America.
  • Swarup S; Network Dynamics and Simulation Science Lab, Biocomplexity Institute, Virginia Tech, Blacksburg, VA, United States of America.
  • Eubank SG; Department of Population Health Sciences, Virginia Tech, Blacksburg, VA, United States of America.
  • Abbas KM; Network Dynamics and Simulation Science Lab, Biocomplexity Institute, Virginia Tech, Blacksburg, VA, United States of America.
PLoS Comput Biol ; 13(6): e1005521, 2017 Jun.
Article en En | MEDLINE | ID: mdl-28570660
The study objective is to estimate the epidemiological and economic impact of vaccine interventions during influenza pandemics in Chicago, and assist in vaccine intervention priorities. Scenarios of delay in vaccine introduction with limited vaccine efficacy and limited supplies are not unlikely in future influenza pandemics, as in the 2009 H1N1 influenza pandemic. We simulated influenza pandemics in Chicago using agent-based transmission dynamic modeling. Population was distributed among high-risk and non-high risk among 0-19, 20-64 and 65+ years subpopulations. Different attack rate scenarios for catastrophic (30.15%), strong (21.96%), and moderate (11.73%) influenza pandemics were compared against vaccine intervention scenarios, at 40% coverage, 40% efficacy, and unit cost of $28.62. Sensitivity analysis for vaccine compliance, vaccine efficacy and vaccine start date was also conducted. Vaccine prioritization criteria include risk of death, total deaths, net benefits, and return on investment. The risk of death is the highest among the high-risk 65+ years subpopulation in the catastrophic influenza pandemic, and highest among the high-risk 0-19 years subpopulation in the strong and moderate influenza pandemics. The proportion of total deaths and net benefits are the highest among the high-risk 20-64 years subpopulation in the catastrophic, strong and moderate influenza pandemics. The return on investment is the highest in the high-risk 0-19 years subpopulation in the catastrophic, strong and moderate influenza pandemics. Based on risk of death and return on investment, high-risk groups of the three age group subpopulations can be prioritized for vaccination, and the vaccine interventions are cost saving for all age and risk groups. The attack rates among the children are higher than among the adults and seniors in the catastrophic, strong, and moderate influenza pandemic scenarios, due to their larger social contact network and homophilous interactions in school. Based on return on investment and higher attack rates among children, we recommend prioritizing children (0-19 years) and seniors (65+ years) after high-risk groups for influenza vaccination during times of limited vaccine supplies. Based on risk of death, we recommend prioritizing seniors (65+ years) after high-risk groups for influenza vaccination during times of limited vaccine supplies.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vacunación / Gripe Humana / Pandemias Tipo de estudio: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Child / Child, preschool / Humans / Infant / Middle aged / Newborn País/Región como asunto: America do norte Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vacunación / Gripe Humana / Pandemias Tipo de estudio: Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Child / Child, preschool / Humans / Infant / Middle aged / Newborn País/Región como asunto: America do norte Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos