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Spatial and temporal heterogeneities of district-level typhoid morbidities in Ghana: A requisite insight for informed public health response.

Cite as:

Osei, Dr. F.B. (Faculty of Geo-Information Science and Earth Observation (ITC) University of Twente) (): Spatial and temporal heterogeneities of district-level typhoid morbidities in Ghana: A requisite insight for informed public health response.. DANS. https://doi.org/10.17026/dans-x9z-q233

2019-09-18 Osei, Dr. F.B. (Faculty of Geo-Information Science and Earth Observation (ITC) University of Twente) 10.17026/dans-x9z-q233

This dataset contains the dataset used in the article: Spatial and temporal heterogeneities of district-level typhoid morbidities in Ghana: A requisite insight for informed public health response. PLoS ONE, 13(11).
The dataset consist of a single shape file of type "SpatialPolygonsDataFrame"
The attribute table consists of 63 columns for 216 districts.
The column "district_ID" is the district ID
The column ""Region_ID" is the Region ID
The columns "pop" is the population
The columns "2011_01_01" ,"2011_02_01",..., "2015_11_01" ,"2015_12_01" are the monthly cases from Jan 2010 (2011-01-01) to Dec 2015 (2015-12-01)