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Age groups and spread of influenza: implications for vaccination strategy
1Department of Public Health and Center for Infectious Disease Epidemiology, China Medical University, Taichung, Taiwan. hsieh@mail.cmu.edu.tw
Insights
Pandemic preparedness requires modeling influenza spread. This study used a compartmental model to analyze transmission, finding asymptomatic infections significantly impact elderly mortality and vaccination strategies should focus on morbidity to protect vulnerable populations.
Area of Science:
- Epidemiology
- Mathematical Modeling
- Public Health
Background:
- The 2009 pH1N1 influenza pandemic underscored the critical need for robust pandemic preparedness.
- Modeling studies are essential tools for simulating potential future influenza pandemic scenarios.
Purpose of the Study:
- To develop and apply a compartmental model for studying influenza transmission within a community.
- To incorporate age structure and intervention measures like age-specific vaccination into the model.
- To analyze the impact of pre-symptomatic and asymptomatic infections on disease spread and mortality.
Main Methods:
- Developed a compartmental model accounting for pre-symptomatic and asymptomatic influenza infections.
- Incorporated age stratification and intervention strategies, including age-specific vaccination.
- Utilized Pneumonia and Influenza (P&I) mortality and vaccination data from Taiwan (2004-2005) to fit the model and estimate reproduction numbers.
Main Results:
- Derived basic and effective reproduction numbers under various intervention scenarios.
- Estimated the reproduction number for the studied winter flu season to be approximately 1.0001.
- Observed significant errors in fitting elderly mortality data post-school closings, suggesting transmission by younger groups.
Conclusions:
- Asymptomatic infections play a more significant role in elderly mortality than pre-symptomatic infections.
- Vaccination's impact on disease incidence may not be fully reflected in effective reproduction numbers but can be substantial.
- Targeting the very young and very old for vaccination showed limited impact on overall transmissibility, emphasizing the need for morbidity-based strategies to prevent elderly mortality.
Background:
The unpredictable nature of the potentially devastating impact of 2009 pH1N1 influenza pandemic highlights the need for pandemic preparedness planning, where modeling studies could be most useful for simulations of possible future scenarios.
Methods:
A compartmental model with pre-symptomatic and asymptomatic influenza infections is proposed which incorporates age groups as well as intervention measures such as age-specific vaccination, in order to study spread of influenza in a community.
Results:
We derive the basic reproduction number and other effective reproduction numbers under various intervention measures. For illustration, we make use of the Pneumonia and Influenza (P&I) mortality data and vaccination data of the very young (age 0-2) and the very old (age > 64) during 2004-2005 Taiwan winter influenza season to fit our model and to compute the relevant reproduction numbers. The reproduction number for this winter flu season is estimated to be slightly above one (approximately 1.0001).
Conclusions:
Comparatively large errors in fitting the P&I mortality data of the elderly (> 64) were observed shortly after winter school closings in January, which may indicate the impact of younger, more active age groups transmitting influenza to other age groups outside of the school settings; in particular, to the elderly in the households. Pre-symptomatic infections seemed to have little effect on the model fit, while asymptomatic infection by asymptomatic infectives has a more pronounced impact on the model fit for the elderly mortality, perhaps indicating a larger role in disease transmission by asymptomatic infection. Simulations indicate that the impact of vaccination on the disease incidence might not be fully revealed in the change (or the lack thereof) in the effective reproduction number with interventions, but could still be substantial. The estimated per contact transmission probability for susceptible elderly is significantly higher than that of any other age group, perhaps highlighting the vulnerability of the elderly due to close contacts with their caretakers from other age groups. The relative impact of targeting the very young and the very old for vaccination was weakened by their relative inactivity, thus giving evidence of the lack of impact of vaccinating these two groups on the overall transmissibility of the disease in the community. This further underscores the need for morbidity-based strategy to prevent elderly mortality.
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