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- W2973755763 endingPage "1619" @default.
- W2973755763 startingPage "1612" @default.
- W2973755763 abstract "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." @default.
- W2973755763 created "2019-09-26" @default.
- W2973755763 creator A5013741080 @default.
- W2973755763 creator A5057159462 @default.
- W2973755763 creator A5068889155 @default.
- W2973755763 creator A5089803222 @default.
- W2973755763 date "2019-09-20" @default.
- W2973755763 modified "2023-10-18" @default.
- W2973755763 title "Modelling microbial infection to address global health challenges" @default.
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