Study finds trash, household crowding increase risk for three dangerous, mosquito-borne illnesses in Kenya BMC_series
]. MCA is a multivariate method developed for exploring discrete quantitative values that can be used to calculate an index based on the amount of variance explained by each included variable. The index calculated using MCA is similar to the one obtained by using a principal component analysis [
]. The wealth scores were calculated using the first MCA linear combination that explained the greater part of the data's variance, then used to divide the households into four ordinal groups , based on quartiles.]. HCI was defined as the total number of co-residents per household divided by the total number of rooms. The calculated HCI was divided in three categories: low crowding as HCI 2 residents per room.Each study site was divided into squares with 100m resolution.
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