Starting with the power law for the number of infections during the middle stages of epidemics, we propose differential equations describing the process of momentum epidemic management, which is a set of measures of any nature aimed at reducing the epidemic spread via timely response to the dynamic of the number of infections. One of the finding is that the aggressive imposing the most significant measures followed by equally aggressive reducing them when the spread diminishes is likely to result in the periodicity of the epidemic; we use Bessel functions. Under such management, the epidemic ends relatively quickly due to the periodicity, but then it may resume. Practically: the hesitation before enabling some protection measures must be at least doubled before disabling them. Also, the square root of the intensity of hard measures is inversely proportional to the duration of the epidemic .
Starting with the power law for the number of infections during the middle stages of epidemics, we propose differential equations describing the process of momentum epidemic management, which is a set of measures of any nature aimed at reducing the epidemic spread via timely response to the dynamic of the number of infections. One of the finding is that the aggressive imposing the most significant measures followed by equally aggressive reducing them when the spread diminishes will effectively reduce the number of new infections to zero. We use the asymptotic periodicity of Bessel functions, which readily provides the required; but the epidemic may resume. Practically: the hesitation before enabling some protection measures must be at least doubled before disabling them. Also, the square root of the intensity of hard measures is inversely proportional to the epidemic duration, which works surprisingly well practically; a couple of examples is given .
R
is likely to result in the periodicity of the epidemic; we use Bessel functions. Under such management, the epidemic ends relatively quickly due to the periodicity, but then it
will effectively reduce the number of new infections to zero. We use the asymptotic periodicity of Bessel functions, which readily provides the required; but the epidemic
R
duration of the epidemic
epidemic duration, which works surprisingly well practically; a couple of examples is given