TY - JOUR
T1 - Analyzing geographical access to HIV sentinel clinics in relation to other health clinics in Zambia
AU - Moise, Imelda K.
AU - Kalipeni, Ezekiel
AU - Zulu, Leo C.
N1 - Funding Information:
Note: There are minor variations in total area and population size because of some resampling and minor differences in boundaries and extraction of data from the 1-km scale source. The 2008 population data were derived from the LandScan (2008) High Resolution Global Population Data Set copyrighted by UT-Battelle, LLC, operator of Oak Ridge National Laboratory under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy.
Funding Information:
3. This product was made utilizing the LandScan (2008) TM High Resolution global Population Data Set copyrighted by UT-Battelle, LLC, operator of Oak Ridge National Laboratory under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The U.S. Government has certain rights in this Data Set. Neither UT-Battelle, LLC, nor the U.S. Department of Energy, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of the data set. <http://www.ornl.gov/sci/landscan/>.
PY - 2011/9
Y1 - 2011/9
N2 - This paper illustrates that in countries such as Zambia where available sentinel clinic data lack patient use information while including location and clinic type, advanced geospatial modeling can be a good proxy for measuring access to health care facilities including HIV sentinel clinics. The analysis shows mapped patterns of potential accessibility to HIV sentinel clinics versus all other clinics, while taking into consideration the spatial distribution of the country's population. The results indicate that Zambia has developed a relatively impressive set of health facilities-so much so that 98% of the population is within 50 km of a health facility, a reasonable distance for a day's bike ride, and nearly three in four are within 20km. However, when it comes to HIV sentinel or surveillance clinics, this target is far from being realized, with only 52% percent of the population being within 50 km of a sentinel clinic.
AB - This paper illustrates that in countries such as Zambia where available sentinel clinic data lack patient use information while including location and clinic type, advanced geospatial modeling can be a good proxy for measuring access to health care facilities including HIV sentinel clinics. The analysis shows mapped patterns of potential accessibility to HIV sentinel clinics versus all other clinics, while taking into consideration the spatial distribution of the country's population. The results indicate that Zambia has developed a relatively impressive set of health facilities-so much so that 98% of the population is within 50 km of a health facility, a reasonable distance for a day's bike ride, and nearly three in four are within 20km. However, when it comes to HIV sentinel or surveillance clinics, this target is far from being realized, with only 52% percent of the population being within 50 km of a sentinel clinic.
KW - GIS spatial analysis
KW - Thiessen polygons
KW - Zambia
KW - access to HIV sentinel clinics
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U2 - 10.1080/15420353.2011.599756
DO - 10.1080/15420353.2011.599756
M3 - Article
AN - SCOPUS:80053247117
VL - 7
SP - 254
EP - 281
JO - Journal of Map and Geography Libraries
JF - Journal of Map and Geography Libraries
SN - 1542-0353
IS - 3
ER -