Countries
with Turnaround in COVID-19 Confirmed Cases: Part 1
Dr
Himanshu Shekhar
Introduction: The
number of confirmed cases of COVID-19, in various countries of the world have
different trends. In this post, those countries are selected, where total
number of confirmed cases is more than 1000 and daily addition of cases is less
than or around 50 as on 17.05.2020. In other words, those countries where
turnaround of confirmed cases of COVID-19, is achieved, are selected. These
countries have displayed good measures to restrict, but in this post,
parameters of normal distribution curves will be derived for these countries.
The selected countries and their salient parameters as on 17.05.2020, in
respect of COVID-19 related cases is tabulated below.
|
Country
|
Total
confirmed cases
|
Case
per million population
|
Recovered
|
Death
|
|
Germany
|
176244
|
2120
|
152600
|
8027
|
|
Switzerland
|
30572
|
3560
|
27400
|
1602
|
|
Israel
|
16606
|
1809
|
12820
|
267
|
|
Japan
|
16253
|
129
|
10809
|
729
|
|
South
Korea
|
11050
|
213
|
9888
|
263
|
|
Australia
|
7048
|
275
|
6362
|
98
|
|
Malaysia
|
6894
|
211
|
5571
|
113
|
|
Greece
|
2819
|
263
|
1374
|
162
|
|
Croatia
|
2224
|
546
|
1913
|
95
|
|
Iceland
|
1802
|
4947
|
1782
|
10
|
|
New
Zealand
|
1149
|
231
|
1433
|
21
|
Among the countries listed
in the table, separate posts are already available for New Zealand and
Switzerland. Other countries will be analysed in this post for arriving at the
salient normal distribution parameters.
GERMANY: The
confirmed cases in Germany attained a peak very fast and the fall is relatively
slower. The nature of curve make be simulated with combination of two normal
distribution curves with some introduced skewness. The skewness is introduced
by offsetting both the normal distribution curves in mean and by giving
different standard deviations to both the normal distributions. The simulation
curve is given, superimposed over the actual confirmed cases. The amplitude for
both the normal distribution curves are 3500, while mean for the curves are 50
and 40 and standard deviations are 300 and 100, respectively. The peak of
normal distribution curve is 6190.
ISRAEL: Israel
has a sharp peak of 1176 on 04 April 2020 and if that assorted data is ignored,
the variation of confirmed cases of COVID-19 in Israel is more or less
controlled in time. The curve is simulated using combination of two normal
distribution curves. The amplitude and standard deviation of both the curves
are kept same, as 500 and 150, respectively. The mean of the two curves are
different, as 40 and 50. The peak is attained on 06 April as 847, by the
simulated curve. The combined normal distribution curve is skewed slightly.
JAPAN: Japan
has a relatively flatter curves, but a single spike of 1401 confirmed case on
12 April 2020 is observed. Ignoring this, the curve for Japan is relatively
easy to simulate. It is simulated by single normal distribution curve with mean
50, standard deviation 250 and amplitude 600. The peak is attained on 17 April
2020 as 600 for the normal distribution curve.
SOUTH KOREA: South
Korea has very sharp rise and fall. It is simulated by single normal
distribution curve with amplitude of 800, mean 40 and standard deviation of 30.
The normal distribution curve shows a peak on 03 March 2020.
AUSTRALIA: Australia
is showing a relative high fluctuation of confirmed cases at the peak
instances. However, rise and fall is relatively smooth. Combination of two
normal distribution curves were used for simulating the variation. The mean and
amplitude of both the curves were same as 50 and 250, respectively. The
standard deviation of the curves were 100 and 25. The combined peak of the
normal distribution is obtained on 28 March 2020 as 500 confirmed cases.
In next Part, other
countries like Malaysia, Greece, Croatia and Iceland will be covered, followed
by a summary part to derive some conclusion, based on the numerical simulation,
which can be used for India, for the prediction of turnaround.
Dr Himanshu Shekhar





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