Description Usage Format Source References
The dataset contains information on 8204 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).
1 |
The data frame has 8204 observations on the following variables
Clusterunique ID for each of the 46 school clusters
Longlongitude coordinate of the household location
Latlatitude coordinate of the household location
RDTbinary variable indicating the outcome of the RDT (1, positive; 0, negative)
Genderfactor variable indicating the gender of the sampled individual (Female, Male)
Ageage of the sampled individual (in years)
NetUsebinary variable indicating whether the sampled individual
slept under a bed net the previous night (1, yes; 0, no)
MosqCntlbinary variable indicating whether the household has used some kind of mosquito control,
such as sprays and coils (1, yes; 0, no)
IRSbinary variables in indicating whether there has been indoor residual spraying (IRS) in the
house in the last 12 months (1, yes; 0, no)
Travelbinary variable indicating whether the sampled individual has travelled outside the village
in the last three months (1, yes; 0, no)
SESordinal variable indicating the socio-economic status (SES) of the household.
The variable is an integer score from 1 (poor) to 5 (rich)
Districtfactor variable indicating the village of the sampled individual (Kisii Central, Rachuonyo)
Surveyfactor variables indicating the survey in which the participant was enrolled (community, school)
Stevenson, J.C., Stresman, G.H., Gitonga, C.W., Gillig, J., Owaga, C., Marube, E., Odongo, W., Okoth, A., China, P., Oriango, R. e Brooker, S.J. (2013). Reliability of school surveys in estimating geographic variation in malaria transmission in the western Kenyan highlands. PLoS One, 8, e77641.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.