TY  - JOUR
A1  - Hasyim, Hamzah
A1  - Nursafngi, Afi
A1  - Haque, Ubydul
A1  - Montag, Doreen
A1  - Groneberg, Jan David Alexander
A1  - Dhimal, Meghnath
A1  - Kuch, Ulrich
A1  - Müller, Ruth
T1  - Spatial modelling of malaria cases associated with environmental factors in South Sumatra, Indonesia
T2  - Malaria journal
N2  - Background: Malaria, a parasitic infection, is a life-threatening disease in South Sumatra Province, Indonesia. This study aimed to investigate the spatial association between malaria occurrence and environmental risk factors.
Methods: The number of confirmed malaria cases was analysed for the year 2013 from the routine reporting of the Provincial Health Office of South Sumatra. The cases were spread over 436 out of 1613 villages. Six potential ecological predictors of malaria cases were analysed in the different regions using ordinary least square (OLS) and geographically weighted regression (GWR). The global pattern and spatial variability of associations between malaria cases and the selected potential ecological predictors was explored.
Results: The importance of different environmental and geographic parameters for malaria was shown at global and village-level in South Sumatra, Indonesia. The independent variables altitude, distance from forest, and rainfall in global OLS were significantly associated with malaria cases. However, as shown by GWR model and in line with recent reviews, the relationship between malaria and environmental factors in South Sumatra strongly varied spatially in different regions.
Conclusions: A more in-depth understanding of local ecological factors influencing malaria disease as shown in present study may not only be useful for developing sustainable regional malaria control programmes, but can also benefit malaria elimination efforts at village level.
KW  - Geographically weighted regression (GWR)
KW  - Ordinary least squares (OLS)
KW  - Akaike information criterion (AIC)
KW  - Physical environment
KW  - Local climate
KW  - Sumatra
KW  - Rainfall
KW  - Elevation
KW  - Distance to water
Y1  - 2018
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/46389
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-463892
SN  - 1475-2875
N1  - Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
VL  - 17
IS  - 1, Art. 87
SP  - 1
EP  - 15
PB  - BioMed Central
CY  - London
ER  -