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 available 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 travelled 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 variables indicating the survey in which the participant was enrolled, "community" or "school".
Reference
Stevenson, J.C., Stresman, G.H., Gitonga, C.W., Gillig, J., Owaga, C., et al. (2013). Reliability of School Surveys in Estimating Geographic Variation in Malaria Transmission in the Western Kenyan Highlands. PLOS ONE 8(10): e77641. doi: 10.1371/journal.pone.0077641
Data file: malkenya.csv