Spatial Modelling of malaria incidence in South Sumatra Indonesia: uses Geographically Weighted Regression (GWR)

Hasyim, Hamzah and Nursafingi, Alfi and Haque, Ubydul and Montag, Doreen and Groneberg, David A. and Dhimal, Meghnath and Kuch, Ulrich and Müller, Ruth (2018) Spatial Modelling of malaria incidence in South Sumatra Indonesia: uses Geographically Weighted Regression (GWR). In: Seminar: BfN/ENCA European Conference on “Biodiversity and Health in the Face of Climate Change”, 27-29 June 2017, Bonn/Germany.

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Abstract

Malaria is still a major public health problem in some areas in South Sumatra Province, Indonesia. Since every region has different geographical conditions, the disease risk has been suspected to vary with geographic variation. The aim of this study is to identify environmental factors that influence the incidence of malaria. Modelling malaria incidences in relation to geographical influence could be used as a predictive tool and as such would provide an important tool for disease control.

Item Type:	Conference or Workshop Item (Speech)
Subjects:	R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Depositing User:	Dr.rer.med Hamzah Hasyim, S.K.M, M.K.M
Date Deposited:	01 Apr 2023 03:57
Last Modified:	01 Apr 2023 03:57
URI:	http://repository.unsri.ac.id/id/eprint/92354

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