The dataset contains information on 82014 individuals enrolled in concurrent school and community cross-sectional surveys, conducted in 46 school clusters in the western Kenyan highlands. Malaria was assessed by rapid diagnostic test (RDT).
The variables are as follows:
Cluster: unique ID for each of the 46 school clusters.
Long: longitude coordinate of the household location.
Lat: latitude coordinate of the household location.
RDT: binary variable indicating the outcome of the RDT: 1, if positive, and 0, if negative.
Gender: factor variable indicating the gender of the sampled individual.
Age: age in years of the sampled individual.
NetUse: binary variable indicating whether the sampled individual slept under a bed net the previous night: 1, if yes, 0, if no.
MosqCntl: binary variable indicating whether the household has used some kind of mosquito control, such as sprays and coils: 1, if yes, 0, if no.
IRS: binary variables in indicating whether there has been indoor residual spraying (IRS) in the house in the last 12 months: 1, if yes, 0, if no.
Travel: binary variable indicating whether the sampled individual has traveled outside the village in the last three months: 1, if yes, 0, if no.
SES: ordinal variable indicating the socio-economic status (SES) of the household. The variables is an integer score from 1(=poor) to 5(=rich).
District: factor variable indicating the village of the sampled individual, "Kisii Central" or "Rachuonyo".
Survey: factor variable indicating the survey in which the participant was enrolled, "community" or "school".
elevation: elevation, in meters, of the recorded household location
data(malkenya)A data frame with 82014 rows and 13 variables