Usage
  • 25 views
  • 5 downloads

Estimating cardiovascular disease incidence from prevalence: a spreadsheet based model

  • Author(s) / Creator(s)
  • "Disease incidence and prevalence are both core indicators of population health. Incidence is generally not as readily accessible as prevalence. Cohort studies and electronic health record systems are two major way to estimate disease incidence. The former is time-consuming and expensive; the latter is not available in most developing countries. Alternatively, mathematical models could be used to estimate disease incidence from prevalence. We proposed and validated a method to estimate the age-standardized incidence of cardiovascular disease (CVD), with prevalence data from successive surveys and mortality data from empirical studies. Hallett’s method designed for estimating HIV infections in Africa was modified to estimate the incidence of myocardial infarction (MI) in the U.S. population and incidence of heart disease in the Canadian population." (as cited in abstract)

  • Date created
    2017-01-23
  • Subjects / Keywords
  • Type of Item
    Article (Published)
  • DOI
    https://doi.org/10.7939/r3-93da-zx94
  • License
    Attribution 4.0 International
  • Language
  • Citation for previous publication
    • Hu, X. F., Young, T. K., & Chan, H. M. (2017). Estimating cardiovascular disease incidence from prevalence: A spreadsheet based model. BMC Medical Research Methodology, 17(9). https://doi.org/10.1186/s12874-016-0288-y
  • Source
    <https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-016-0288-y>
  • Link to related item
    <https://v2.sherpa.ac.uk/id/publication/2441?template=romeo> and <https://www.cdc.gov/nchs/nhanes/index.htm>