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Table 2 Summary statistics

From: Household perceptions and subjective valuations of indoor residual spraying programmes to control malaria in northern Uganda

Variable

Mean/Frequency

Standard Dev.

External statistic5

Number of households surveyed

588

  

Household-level variables

Household size (members)

6.1

2.6

4.95(a)

Average household age (years)

21

11

205(a)

Number of children under 10

2.1

1.6

1.85(a)

Value of household assets

$266

$459

 

Monthly household income

$44

$71

 

   Education ≥ some secondary1

11.2 %

--

16 %5(b)

   Monthly malaria incidence1,2

   

   Total population

0.17

0.24

 

   Children under 10

0.24

0.35

 

Participated in previous IRS

   Cluster weights only

80 %

--

93 %5(c)

   Cluster & household weights1

83 %

--

 

Mosquito nets

   

   per household

1.6

1.8

1.45(a)

   per person1,3

0.26

0.35

 

Respondent-level variables

   Age

39

15

 

Female

54 %

--

 

   Education \( \ge \) some secondary

27 %

--

 

   Ill with malaria in past month?2

13 %

--

 

   Perceived malaria risk4

0.33

0.22

 

Respondent believes…

   Mosquitoes cause malaria1

90 %

--

 

   Standing water predicts mosquito abundance1

54 %

--

 

   IRS is effective1

82 %

--

 
  1. Notes: Statistics calculated using sampling weights adjusting for cluster sampling, unless otherwise noted. 1. Sampling weights accounting for both cluster sampling and household size used for these statistics, 2. Malaria diagnosis measures are self-reports indicating whether each member in the household was diagnosed with malaria in the past month by going “to the health facility where they took blood,” so this incidence measure is an underestimate of actual malaria incidence in the population at the time of study. Other, less conservative measures are reported in the survey, but are not shown here. 3. Refers to both insecticide-treated or untreated, 4. Measured as respondent subjective expectation of how many people out of 10 would fall ill with malaria in next 30 days, 5. External data-sources used for comparison: (a) MIS [39], for ‘Mid Northern’ subpopulation where available, otherwise ‘Rural,’ (b) DHS [40], for ‘North’ subpopulation, (c) PMI [48]