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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]