From the study.
Quote:
The SEIRDC model estimates the fatality rate for 2019-nCoV is 6.50%. As a base of
comparison, the fatality rate for 2003 SARS was 7.66% and 3.61% for Beijing and
Guangzhou, respectively. We used the model to predict the confirmed case counts and death
counts in the first 80 days of the ongoing 2019-nCoV outbreak. We simulated these counts
for the 2003 SARS outbreaks in Beijing and Guangzhou as well, using the case counts as
input. The basic assumption is the absence of any control measures in all these scenarios. At
the end of this 80-day period, according to our simulations, the 2019-nCoV case counts
(35,454) is close to that of SARS in Guangzhou (37,663) and much higher than that of SARS
in Beijing (17,594). The 2019-nCoV death count (1,089) is much higher than that of SARS in
Guangzhou (725) and Beijing (690).
Our study also suggests that by reducing the average infectious period to <2.3 days,
the resulting will decease to a value less than 1, meaning the epidemic can be effectively
controlled.
In conclusion, considering transmissibility and fatality rate, 2019-nCoV poses a major
public health threat, at least at the level of 2003 SARS. Epidemiological studies are critically
called for to evaluate the effectiveness of stringent measures such as lockdown and help the
design of refinements and development of potential alternative strategies for the next phase of
the 2019-nCoV outbreak.