Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Realization of accurate real-time predictions of infectious diseases is an important but challenging task, because spatial transmission among networked populations is stochastic and time-varying. ,  propose a new algorithm to predict the susceptible subpopulations which will be infected in the next time step at the early stage of an epidemic on a metapopulation network by using data of infection and topology.  first estimate the epidemic infection rate, which helps us to infer the increment of newly infected individuals during a unit time. Then  predict the possible infected subpopulations by ranking the infected likelihoods of corresponding susceptible subpopulations. The simulation results on the Barabasi-Albert scale-free metapopulation network verify the performance of our algorithm.
['Jian-Bo Wang', 'Cong Li', 'Xiang Li']
I am writing a research paper on a idea Predicting spatial transmission at the early stage of epidemics on a networked metapopulation
[{"from": "human", "value": "I am writing a research paper on a idea Predicting spatial transmission at the early stage of epidemics on a networked metapopulation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Realization of accurate real-time predictions of infectious diseases is an important but challenging task, because spatial transmission among networked populations is stochastic and time-varying. ,  propose a new algorithm to predict the susceptible subpopulations which will be infected in the next time step at the early stage of an epidemic on a metapopulation network by using data of infection and topology.  first estimate the epidemic infection rate, which helps us to infer the increment of newly infected individuals during a unit time. Then  predict the possible infected subpopulations by ranking the infected likelihoods of corresponding susceptible subpopulations. The simulation results on the Barabasi-Albert scale-free metapopulation network verify the performance of our algorithm."}]