Using the Hurst Exponent and Entropy Measures to Predict Effective Transmissibility in Empirical Series of Malaria Incidence

We analyze the empirical series of malaria incidence, using the concepts of autocorrelation, Hurst exponent and Shannon entropy with the aim of uncovering hidden variables in those series. From the simulations of an agent model for malaria spreading, we first derive models of the malaria incidence,...

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主要な著者:	João Sequeira, Jorge Louçã, António M. Mendes, Pedro G. Lind
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-01-01
シリーズ:	Applied Sciences
主題:	malaria Hurst exponent Shannon entropy long range dependence autocorrelation function stochastic long memory
オンライン･アクセス:	https://www.mdpi.com/2076-3417/12/1/496
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