ArticleMalaria journal2018
Spatial modelling of malaria cases associated with environmental factors in South Sumatra, Indonesia.
Article in Malaria journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.
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Who cites it
24 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Assessment of malaria risk in Southeast Asia: a systematic review.Malaria journal · 2023Pooled it
- The relationship between climate change and malaria in South-East Asia: A systematic review of the evidence.F1000Research · 2022Pooled it
- Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions.Journal of the Royal Society, Interface · 2021Pooled it
- Spatial and temporal variation of malaria incidence in children under 10 years in a pyrethroid-resistant vector area in southern Benin.Malaria journal · 2025Article
- The impact of climate change on child nutrition in Indonesia: a conceptual framework and scoping review of the available evidence.BMJ paediatrics open · 2025Article
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- Evaluation of the malaria elimination programme in Muara Enim Regency: a qualitative study from Indonesia.Malaria journal · 2024Article
- Relative effects of climate factors and malaria control interventions on changes of parasitaemia risk in Burkina Faso from 2014 to 2017/2018.BMC infectious diseases · 2024Article
- Risk factors of malaria transmission in mining workers in Muara Enim, South Sumatra, Indonesia.Scientific reports · 2023Article
- Article
- Spatial modelling of malaria prevalence associated with geographical factors in Houet province of Burkina Faso, West Africa.GeoJournal · 2023Article
- Article
- Geospatial based model for malaria risk prediction in Kilombero valley, South-eastern, Tanzania.PloS one · 2023Article
- Spatial differentiation and determinants of COVID-19 in Indonesia.BMC public health · 2022Article
- Estimating the local spatio-temporal distribution of malaria from routine health information systems in areas of low health care access and reporting.International journal of health geographics · 2021Article
- Rapid diagnostic testing as an indicator of malaria prevalence in Rorya District, Tanzania.MalariaWorld journal · 2021Article
- Disparities in Risks of Malaria Associated with Climatic Variability among Women, Children and Elderly in the Chittagong Hill Tracts of Bangladesh.International journal of environmental research and public health · 2020Article
- Spatial and spatio-temporal analysis of malaria cases in Zimbabwe.Infectious diseases of poverty · 2020Article
- Improving the efficiency of reactive case detection for malaria elimination in southern Zambia: a cross-sectional study.Malaria journal · 2020Article
- Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMalaria, 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.
methodsThe 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.
resultsThe 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.
conclusionsA 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.
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