Forecast of myocardial infarction incidence, events and prevalence in England to 2035 using a microsimulation model with endogenous disease outcomes.
<h4>Background</h4>Models that forecast non-communicable disease rates are poorly designed to predict future changes in trend because they are based on exogenous measures of disease rates. We introduce microPRIME, which forecasts myocardial infarction (MI) incidence, events and prevalenc...
| Autores principales: | , , |
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| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
Public Library of Science (PLoS)
2022-01-01
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| Colección: | PLoS ONE |
| Acceso en línea: | https://doi.org/10.1371/journal.pone.0270189 |