Influence of demographically-realistic mortality schedules on vaccination strategies in age-structured models

Details

• Alternative Title:
  Theor Popul Biol
• Personal Author:
  Feng, Zhilan ; Feng, Yejuan ; Glasser, John W.
• Description:
  Because demographic realism complicates analysis, mathematical modelers either ignore demography or make simplifying assumptions (e.g., births and deaths equal). But human populations differ demographically, perhaps most notably in their mortality schedules. We developed an age-stratified population model with births, deaths, aging and mixing between age groups. The model includes types I and II mortality as special cases. We used the gradient approach (Feng et al., 2015, 2017) to explore the impact of mortality patterns on optimal strategies for mitigating vaccine-preventable diseases such as measles and rubella, which the international community has targeted for eradication. Identification of optimal vaccine allocations to reduce the effective reproduction number R| under various scenarios is presented. Numerical simulations of the model with various types of mortality are carried out to ascertain the long-term effects of vaccination on disease incidence. We conclude that both optimal vaccination strategies and long-term effects of vaccination may depend on demographic assumptions.
• Subjects:
  Basic Reproduction Number Humans Mathematics Measles Vaccination
• Source:
  Theor Popul Biol. 132:24-32
• Pubmed ID:
  32027879
• Pubmed Central ID:
  PMC9271362
• Document Type:
  Journal Article
• Funding:
  CC999999/ImCDC/Intramural CDC HHSUnited States/
• Volume:
  132
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:3694c99b7aae33a4b74c1896dbe0c100afe42e7b4ad43f373aad0711eaa66621
• Download URL:
  https://stacks.cdc.gov/view/cdc/119368/cdc_119368_DS1.pdf
• File Type:
  [PDF - 1.19 MB ]