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Table 2 Frequency of selected exposures among cases and controls, Jalpaiguri district, West Bengal, India, 2007–8

From: Risk factors for malaria deaths in Jalpaiguri district, West Bengal, India: evidence for further action

Exposure variables

Cases (n = 51)

Controls (n = 153)

MOR

95% CI

  

#

%

#

%

  

Socio-demographic characteristics

Living below poverty level

49

92

147

97

0.83

0.31–2.4

 

Being illiterate*,

43

84

132

86

0.82

0.32–2.3

 

Being in a daily worker family

24

47

59

39

1.7

0.84–4.3

Treatment

Complications on admission

36

90

77

52

5.7

2.5–13

 

Treated at private facility

25

49

11

7

17

5.1–56

 

Treatment started >48 hours

11

22

15

10

19

2.1–170

 

Treated with chloroquine

44

86

73

48

6.4

2.6–15

 

Treated in primary care

45

78

142

54

0.56

0.19–1.67

Prevention in the last 12 months

Household not sprayed with DDT

26

51

42

27

2.6

1.3–5.3

 

No bed net

40

78

63

41

5.8

2.4–14

 

No house visit by health workers

21

41

25

16

8.6

2.3–32

Knowledge

Mosquito bite can cause malaria

1

2

15

10

0.22

0.03–1.4

 

Malaria is curable

2

4

5

3

1.1

0.22–6.1

 

Malaria causes anaemia

29

57

91

59

0.94

0.42–2.4

 

Fever may kill if not treated early

49

96

139

91

0.53

0.14–2.3

 

Blood test necessary when fever

2

4

10

6

0.83

0.31–2.4

 

Malaria affects children

3

6

27

18

0.82

0.32–2.3

 

Malaria affects pregnant women

3

6

2

1

1.7

0.84–4.3

 

ITN prevent malaria

5

10

10

6

5.7

2.5–13

  1. Confidence interval
  2. *For young children, the literacy status of the head of family was considered
  3. *Defined as the incapacity to read and write in the local language
  4. *Fever onset
  5. *Knowledge of the case-patients (deceased) and control subjects (survivors) assessed indirectly by proxy interviews of family members in both situations to ensure comparability of the data collection method
  6. *Insecticide-impregnated mosquito nets