Malaria {MLGdata} | R Documentation |
Malaria Transmission in the Western Kenyan Highlands
Description
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).
Usage
Malaria
Format
The data frame has 8204 observations on the following variables
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
, positive;0
, negative)Gender
factor variable indicating the gender of the sampled individual (
Female, Male
)Age
age of the sampled individual (in years)
NetUse
binary variable indicating whether the sampled individual slept under a bed net the previous night (
1
, yes;0
, no)MosqCntl
binary variable indicating whether the household has used some kind of mosquito control, such as sprays and coils (
1
, yes;0
, no)IRS
binary variables in indicating whether there has been indoor residual spraying (IRS) in the house in the last 12 months (
1
, yes;0
, no)Travel
binary variable indicating whether the sampled individual has travelled outside the village in the last three months (
1
, yes;0
, no)SES
ordinal variable indicating the socio-economic status (SES) of the household. The variable is an integer score from
1
(poor) to5
(rich)District
factor variable indicating the village of the sampled individual (
Kisii Central, Rachuonyo
)Survey
factor variables indicating the survey in which the participant was enrolled (
community, school
)
Source
References
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.