Data from: Temperature and population density determine reservoir regions of spatial persistence in highland malaria

Siraj AS, Bouma MJ, Santos-Vega M, Yeshiwondim AK, Rothman DS, Yadeta D, Sutton PC, Pascual M

Date Published: November 11, 2015

DOI: http://dx.doi.org/10.5061/dryad.kc20m

 

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Title JFMA cases and the covariates tested and used in our model
Downloaded 14 times
Description This data has all variables used in the statistical model as they entered the generalized linear model and the generalized linear mixed model. The variables included are (in the order they appear): year, kebeleID, JFMA total cases, log expected cases, scaled log ratio of SOND cases to the expected SOND cases, scaled DJF mean temperature in degree Celsius, scaled DJF total rainfall in mm, scaled population density from overlapping circles of 5km radius, scaled population density from overlapping circles of 10km radius, scaled weighted distance to roads, scaled inverse square distance to perennial water bodies, scaled average soil water holding capacity, scaled average slope, scaled average NDVI, scaled SST anomalies from the Nino 3.4 region, and IRS status (0/1).
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Title Count of neighboring kebeles
Downloaded 9 times
Description This data set contains the count of kebeles neighboring each kebele. This file should be used in combination with the Nieghborhood.csv. For example the first kebele (ID=1) has 4 neighbors. Thus, the first four numbers in neighborhood.csv are kebele ID's of those kebeles neighboring kebele 1. Similarly, the second kebele has 3 neighbors, and thus the next three number in neighborhood.csv are IDs of its three neighbors. The remaining neighbors are identified by matching them with corresponding kebele IDs in the file neighborhood.csv in this manner.
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Title neighborhood
Downloaded 8 times
Description This data set contains the IDs of kebeles neighboring each kebele in the file named "Count of neighboring kebeles". This file should be used in combination with the "Count of neighboring kebeles". For example the first kebele (ID=1) has 4 neighbors. The first four number in this data set are the kebele ID's of those kebeles neighboring kebele 1. Similarly, the second kebele has 3 neighbors, and the next three number in this data set are IDs of its three neighbors. The remaining neighbors are identified by matching them with corresponding kebele IDs in similar manner.
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When using this data, please cite the original publication:

Siraj AS, Bouma MJ, Santos-Vega M, Yeshiwondim AK, Rothman DS, Yadeta D, Sutton PC, Pascual M (2015) Temperature and population density determine reservoir regions of spatial persistence in highland malaria. Proceedings of the Royal Society B 282(1820): 20151383. http://dx.doi.org/10.1098/rspb.2015.1383

Additionally, please cite the Dryad data package:

Siraj AS, Bouma MJ, Santos-Vega M, Yeshiwondim AK, Rothman DS, Yadeta D, Sutton PC, Pascual M (2015) Data from: Temperature and population density determine reservoir regions of spatial persistence in highland malaria. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.kc20m
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