The cumulative number of covid-19 cases, and the daily additions, are plotted in this graph.
The table shows the data for the least-squares fits of the slopes. The doubling or halfing times are calculated from the slopes of the linear least square fits to the natural logarithms of the cases as a function of the time in days from ln(2)/slope; a negative number indicates the time to reach half the number of cases.
It is interesting to speculate what kind of change in the social interactions of Michigan's population gave rise to such a change-over characteristic, particularly in light of the observation that after day 30 the new rate appears to be somewhat constant again for about 3 weeks. Of course, the restrictions on assembling, working, and leaving the house, issued by Governor Whitmer around that time, initiated the change over. The effect appeared to set in after day 16 and took a little less than two weeks to get to a clear exponential decline in new cases. This is similar to the delay time after lifting some of the restrictions after day 84 so this may be characteristic of the spreading mechanism and the behavior patterns of people in their understanding of the measures implemented.
The growth regime over which the cumulative number of cases increases exponentially with a constant growth rate reflects a particular mode of interaction of the people who get infected, and the way testing procedures reach the infected persons. The initial growth rate corresponds to a doubling time of cases of only 1.6 days. The transition between regimes 1 and 2 occurred rather abruptly around day 13, continuing with a doubling time of 2.7 days. Between regimes 2 and 3 the doubling time improves substantially; the transition appears to follow a quadratic function in the semilog plot as indicated by the fitting curve labeled "quadr.fit" in the graph, covering the range of ~17 ... ~33 days. During this period, the daily decay rates, over a 3–day running average, appeared to decrease linearly (correlation factor 0.975) giving rise to the curvature. The regime 3 which then follows this transition increases somewhat linearly again (in the semi-log plot) but with substantially lower rate of 0.0297 per day, more than a factor of 8 lower and equivalent to a doubling time of 23 days. The fourth regime continues this levelling off for cumulative cases with a doubling time of 79 days and more beyond day 80. This is more clearly seen by looking at the table's "new cases" rows which show a transition between halfing times from (-)21 to (-)14 days. This improvement is indicative of a change in the interaction patterns of Michiganders. However, after the strict 'stay–at–home' rule was lifted with day 84 (6/1/20) a flattening of the decrease is observed, followed by an exponential increase in new cases with a doubling time of 18 days, see fit regime lsqft-d-3 row. The delay time between cause and effect is roughly two weeks.
It is interesting to speculate what kind of change in the social interactions of Michigan's population gave rise to such a change-over characteristic, particularly in light of the observation that after day 30 the new rate appears to be somewhat constant again for about 3 weeks. Of course, the restrictions on assembling, working, and leaving the house, issued by Governor Whitmer around that time, initiated the change over. The effect appeared to set in after day 16 and took a little less than two weeks to get to a clear exponential decline in new cases. This is similar to the delay time after lifting some of the restrictions after day 84 so this may be characteristic of the spreading mechanism and the behavior patterns of people in their understanding of the measures implemented.


