Modelling microbial infection to address global health challenges

Nat Microbiol. 2019 Oct;4(10):1612-1619. doi: 10.1038/s41564-019-0565-8. Epub 2019 Sep 20.


The continued growth of the world's population and increased interconnectivity heighten the risk that infectious diseases pose for human health worldwide. Epidemiological modelling is a tool that can be used to mitigate this risk by predicting disease spread or quantifying the impact of different intervention strategies on disease transmission dynamics. We illustrate how four decades of methodological advances and improved data quality have facilitated the contribution of modelling to address global health challenges, exemplified by models for the HIV crisis, emerging pathogens and pandemic preparedness. Throughout, we discuss the importance of designing a model that is appropriate to the research question and the available data. We highlight pitfalls that can arise in model development, validation and interpretation. Close collaboration between empiricists and modellers continues to improve the accuracy of predictions and the optimization of models for public health decision-making.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Communicable Disease Control
  • Communicable Diseases / epidemiology*
  • Communicable Diseases / transmission
  • Communicable Diseases, Emerging / epidemiology
  • Communicable Diseases, Emerging / transmission
  • Data Collection
  • Decision Making
  • Global Health*
  • Humans
  • Models, Biological*
  • Pandemics / prevention & control