Article citationsMore>>
Hui, F.M., Xu, B., Cheng, Z.W., Cheng, X., Lu, L., Huang, H.B., Fang, L.Q., Hong, Y., Zhou, H.N., Yang, H.L., Zhou, X.N., Cao, W.C. and Peng, G. (2009) Spatio-Temporal Distribution of Malaria in Yunnan Province, China. American Journal of Tropical Medicine & Hygiene, 81, 503-509.
has been cited by the following article:
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TITLE:
Spatio-Temporal Distribution of Malaria in Perak, Malaysia
AUTHORS:
Norzawati Yoep, Hazrin Hasim, Ummi Nadiah Yusoff, Mahani Yusoff, Noor Rizawati Mahpot
KEYWORDS:
Malaria, Spatial, GIS, Geocoding
JOURNAL NAME:
Advances in Infectious Diseases,
Vol.5 No.4,
November
30,
2015
ABSTRACT: Malaria incidence in
Perak, Malaysia has generally declined, but there remain regions of high
incidence. The spatio-temporal distribution pattern of malaria in Perak was
studied using Geographical Information Systems (GIS) and spatial statistical
tools. Malaria data cases at the subdistrict level in Perak from 2007 to 2011
were analysed to determine the spatial and temporal distribution patterns of
malaria incidence. Geographical Information Systems (GIS) and spatial
statistical tools were used to identify spatial correlation in the data and
malaria hot-spots. Spatial correlation was tested by using an autocorrelation
method called Moran’s I. Hot spot analysis was done using Getis-Ord G*statistic technique. Malaria incidence
rates were categorized into 3 classes to map the spatial distribution. Malaria
cases in Perak were geo-spatially clustered. Most of the hot spots locations
were in Kenering, Ulu Kinta, Gerik and Kampar sub-districts. The prevalence of
malaria among foreigners was noticeably higher than Malaysians. Improved
surveillance of foreign workers can prevent outbreaks and identify high risk
areas. This study implies that geographic-based mapping and information system
are needed for an effective malaria control.
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