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Table 1 Preliminary analysis of the dataset: attributes, values, and frequency of each attribute-value pair

From: Forecasting COVID-19 cases using time series modeling and association rule mining

No

Attribute name

Attribute value

Attribute code

Frequency

1

Gender

Male

sex_male

1711

Female

sex_female

1974

2

Age (year)

Less than 24

age_24

1148

25–44

age_45_44

1838

45–64

age_45_64

625

More than 65

age_65

74

3

Body Mass Index

Less than 25

bmi_25

2309

25–29

bmi_25_29

931

More than 30

bmi_30

445

4

Underlying

None

ud_none

3392

Diseases

Respiratory

ud_repp

82

Hypertension

ud_ht

39

Metabolic

ud_meta

53

Dyslipidemia

ud_dlp

14

Other

ud_oth

64

Diabetes mellitus

ud_dm

18

Pregnant

ud_preg

23

5

Job

General worker

job_gen

3592

Healthcare worker

job_health

93

6

Source of infection

Community

source_com

3119

Family

source_fam

475

Hospital

source_hosp

91

7

Symptom

Asymptomatic

symp_ast

2295

Mild

sym_mild

1371

Moderate

sym_mode

19

8

Chest X-ray

No lesion

cxr_no

3213

Pneumonia

cxr_pneu

472

7

Length of stay (Day)

Less than 14

los_1_14

3625

More than 14

los_15

60

8

Patient Discharge

Home discharge

dc_home

3600

Refer to general hospital

dc_hosp

85

9

Current Incidence

Wave 1 (MAR-MAY 2020)

wave_1

55

Wave 2 (JAN-MAR 2021)

wave_2

311

Wave 3 (APR-MAY 2021)

wave_3

1779

Wave 4 (JUN-JUL 2021)

wave_4

1540