When and how will the COVID-19 pandemic end in the United States?
Xingru Chen and Feng Fu
This report provides results from old simulations Last updated: May 31, 2020
Parameter Estimation
We turncate the date to April 26.
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| (a) Number of people infected. |
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| (b) Percentage of people infected. |
| Figure 1: Cumulative incidence of COVID-19 cases in every one of the 50 U.S. states (D.C. is also included) as well as projected increase and peak time based on real data. The error bar is also shown in every panel. |
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| (a) Contact rate $\beta$. |
(b) Basic reporductive number $R_0$. We only show the second and the third values of it. |
| Figure 2: How the parameters change over time. |
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| Figure 3: All three models: SEIR, exponential growth and power growth. The start date of the fitting is March 16, 2020. Scatters indicate the actual number of infected people and the curves are the corresponding results of least square fitting. The error bar is shown for R. |
Discrete Variation
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| (a) Status quo contact rate as a result of social distancing. |
(b) 50% reduction. |
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| (c) 75% reduction. |
(d) zero contract. |
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| (e) When will the inflection points come? |
(f) When will the curves be flattened? |
| (e) When will the curves be flattened? |
| Figure 4: (a) to (d) present the spatiotemporal spread of predicted COVID-19 on July 1 with different scenarios of contact reductions due to control measures instituted in each State and by the federal government. (e) and (f) show the growth patterns of the number of infected people. |
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| Figure 5: When will the inflection point come? Or it may have arrived for certain states. We consider the distribution of the date on which a state will encounter the peak value of number of new infected. |
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| (a) Number of pepole (I) from the SEIR model. |
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| (b) Percentage of people (I) from the from the SEIR model. |
| Figure 6: Flatten the curve under contact rate reductions for different compliance levels of social distancing. In the figure legend, we show when the outbreak of COVID-19 in each state will peak under different scenarios. Without any strong and effective measure of contact reduction, the peak time in most states will be before July but flatten the curve would delay the peak in each state with huge variance. |
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| (a) Number of people infected in the end. If we let the outbreaks continue its current trajectory without any effective measures, the total infections can reach around 70 million and a half. With 50% reduction rate, 25 million and a half infection, and with 75% reductions, 9 million people would get infected. Even for the zero contact rate, 1.35 million cases. |
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| (b) Number of people dead in the end. If we let the outbreaks continue its current trajectory without any effective measures, the total deaths can reach around 3 million. With 50% reduction rate, 710 thousand deaths, and with 75% reductions, 260 thousand people would be dead. Even for the zero contact rate, 70 thousand deaths. |
| Figure 7: Mitigation effects by the numbers. |
Continuous Variation
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| (a) Number of pepole (R) from the SEIR model. |
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| (b) Percentage of people (R) from the from the SEIR model. |
| Figure 8: How far do we need to push the quarantine? It may vary from state to state. The x axis indicates the contact rate and the y axis is the final number of infected. |
