期刊
NATURE MICROBIOLOGY
卷 4, 期 10, 页码 1612-1619出版社
NATURE PORTFOLIO
DOI: 10.1038/s41564-019-0565-8
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资金
- Notsew Orm Sands Foundation
- National Institutes of Health [K01 AI141576, U01 GM087719]
- Natural Sciences and Engineering Research Council of Canada [RGPIN-04210-2014]
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.
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