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H. Juliette T. Unwin Isobel Routledge Seth Flaxman Marian-Andrei Rizoiu Shengjie Lai Justin Cohen Daniel J. Weiss Swapnil Mishra Samir Bhatt 《PLoS computational biology》2021,17(4)
Developing new methods for modelling infectious diseases outbreaks is important for monitoring transmission and developing policy. In this paper we propose using semi-mechanistic Hawkes Processes for modelling malaria transmission in near-elimination settings. Hawkes Processes are well founded mathematical methods that enable us to combine the benefits of both statistical and mechanistic models to recreate and forecast disease transmission beyond just malaria outbreak scenarios. These methods have been successfully used in numerous applications such as social media and earthquake modelling, but are not yet widespread in epidemiology. By using domain-specific knowledge, we can both recreate transmission curves for malaria in China and Eswatini and disentangle the proportion of cases which are imported from those that are community based. 相似文献
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