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Table 2 Future research priorities in network-based malaria transmission modelling

From: Malaria transmission modelling: a network perspective

Inference of transmission networks · Incorporating partial surveillance data over time, i.e., the temporal-spatial distributions of cases of infection
  · Constructing specific infection models of malaria, while incorporating additional information, such as geographic, environmental, climatic, demographic, clinical, and behavioural information
  · Developing computational tractable probabilistic methods, as well as extending the existing models proposed in computer science (e.g., independent cascading models)
Use of transmission networks · Validating inferred transmission networks by testing them with available malaria data
  · Predicting and analyzing the impact of malaria transmission and their underlying factors over time and space through constructing and comparing a series of transmission networks
  · Evaluating existing intervention or eradication strategies and guiding new control efforts