TIME SERIES ANALYSIS OF DENGUE CASES
at BGHMC FROM YEAR 2011 to JULY 29, 2016
Purpose of the report: To describe the Time table and
analyzed the series of dengue cases who were admitted and discharge at BGHMC
Scope of the cases: The data adopted in this study are
patients who were diagnose to have contracted the dengue virus as primary
diagnosis upon discharge from the year 2011 to July 29, 2016.
Table 1.
Monthly discharges of dengue cases from Year 2011 to July 29, 2016
Year/Month
|
2011
|
2012
|
2013
|
2014
|
2015
|
2016
|
January
|
15
|
8
|
19
|
9
|
29
|
81
|
February
|
11
|
8
|
14
|
3
|
7
|
55
|
March
|
9
|
4
|
9
|
3
|
7
|
32
|
April
|
7
|
6
|
11
|
6
|
3
|
34
|
May
|
8
|
22
|
30
|
6
|
11
|
88
|
June
|
25
|
98
|
180
|
14
|
38
|
215
|
July
|
72
|
141
|
288
|
38
|
113
|
285
|
August
|
180
|
71
|
285
|
36
|
223
|
|
September
|
90
|
43
|
172
|
34
|
136
|
|
October
|
25
|
44
|
71
|
18
|
108
|
|
November
|
19
|
36
|
47
|
26
|
77
|
|
December
|
12
|
43
|
35
|
42
|
59
|
|
Total
|
473
|
524
|
1161
|
235
|
811
|
790
|
From the data obtained from the Mortality and Morbidity
Spreadsheet shows that the peak cases were during the year 2013 from with 1161
cases, while the year 2016 have a total of 790 cases as of July 29, 2016 which
have a high probability to increase on the succeeding months since it was
observed in the table that June to November have high number of dengue cases usually
during the wet season. The data might suggest that there is a seasonality of
dengue cases every 3 years.
However to
describe the series of this dengue case time series analysis should be done to
have an Idea about the trend, and the future increase of this dreaded disease
as illustrated below.
Figure 1.
Time series plot of Dengue Cases From year 2011 to July 29, 2016
Figure 1
shows the time series plot of dengue cases from 2011 to July 29, 2016 wherein we can see a lot of
spikes which would suggest a seasonality per month, however some of the spikes
or its peak are quite higher than the other months suggesting that unusual
increase of dengue discharges. Those unusual graph where seen during the months
of 31-34 and 65-67 which are on the months of July to October 2013 and May to
July 2016.
Due to
irregular increase and decrease of dengue cases monthly it’s hard to forecast
for the next few months. However smoothening and other techniques the Figure
below give a rough forecast for the next 6 months.
From table 2
and figure 2 denotes an increase for the next 5 months if the data would have
same flow or in normal circumstance. The peak may be seen during the month of
October and November and hopefully would decline during the end of the month
till the dry season.
Figure
2.Time Series Forecast for the Next Month
Table 2 Rough forecast of dengue
cases
Forecast Value
|
|||
From
|
To
|
Month
|
Year
|
129
|
265
|
August
|
2016
|
100
|
237
|
September
|
2016
|
132
|
270
|
October
|
2016
|
169
|
308
|
November
|
2016
|
148
|
288
|
December
|
2016
|
Conclusion:
Dengue fevercases have a significant increase this year comparing last year.
The viral
disease might have yearly seasonal characteristics every three years aside from
the monthly seasonality which often increases during the wet season.
The viral
disease would continually increase until the end of the month unless there
would be an intervention.
Darius T. Muñoz
HIMO (July
29, 2016)
All data needs consent to the author