Estimation of Transmission Rate and Recovery Rate of SIR Pandemic Model Using Kalman Filter
نویسندگان
چکیده
COVID-19 is a global pandemic that significantly impacts all aspects. The number of victims who died makes this disease so terrible. Various policies continue to be pursued reduce the spread and impact COVID-19. can modeled in differential equation modeling. This modeling known as SIR Model. A expressed state-space model. model widely used design modern control system. research carried out transmission rate recovery estimates Estimation study poses challenge value people confirmed infected. experimental result shows rates estimated using data for infected recovered persons. Estimates were conducted Kalman Filter.
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ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2022
ISSN: ['2158-107X', '2156-5570']
DOI: https://doi.org/10.14569/ijacsa.2022.0131239