From: Detecting local risk factors for residual malaria in northern Ghana using Bayesian model averaging
Variable | Details |
---|---|
Demographic and socio-economic | |
 Age | From 6 to 59 months old |
 Caretaker’s education | Binary variable; either (1) for high school education and above or (0) otherwise |
 Caretaker’s age | In years |
 Ethnicity | Four groups; (1) Bimoba, (2) Konkomba, (3) Mamprusi, and (4) Other, based on language of caretaker |
 Farming caretakera | Binary variable; either caretaker occupation being farming (1) or otherwise (0) |
 Gender | Binary variable; either male (1) or female (0) |
 Surface water source | Binary variable; either (1) source of drinking water from exposed surface water or (0) otherwise |
 Thatch roofing | Binary variable; either housing structure had a thatched roof (1) or otherwise (0) |
 Wealth quintile | Constructed from multiple variables, using the methodology of the Ghana Demographic Health Survey (2008) [80] |
Malaria intervention | |
 Health insurance—personal | Binary variable; either personal access to health insurance (1) or not (0) |
 Health insurance—community | Binary variable; either (1) for ≥ 80%b community coverage of sampled population or (0) otherwise |
 IRS in past 7 monthsa | Binary variable; either individual household having been treated with IRS in past 7 months (1) or not (0) |
 IRS in past year | Binary variable; either individual household having been treated with IRS in past year (1) or not (0) |
 Indoor residual spraying (IRS)—community coverage | Binary variable; either (1) for ≥ 80%b community coverage or (0) otherwise |
 Insecticide treated nets (ITN)—personal | Binary variable; either (1) if net was used in previous night or (0) otherwise |
 ITN—community coverage | Binary variable; either (1) for ≥ 80b % community coverage or (0) otherwise |
 Personal medication use | Binary variable; either (1) used in the past 2 weeks or (0) otherwise |