Objectives. To find stunting hotspots district or cities in Indonesia in seven major islands in Indonesia.
Method. This is an ecological study that using aggregate data. We used data from The Basic Health Research Report of Indonesia 2018 and The Poverty Data and Information Report from the Central Bureau of Statistics 2018. We analyzed 514 districts or cities in Indonesia that spread out in 7 major Islands with 34 provinces. We used The Euclidean distance method to determine the neighborhood. Morans test was occupied to identify autocorrelation while Morans Scatter Plot particularly in the high high quadrant was used to identify stunting hotspot areas.
Result. It was found that there is autocorrelation among districts or cities in four major islands namely Sumatera, Java, Sulawesi, and Bali Nusa Tenggara Timur Nusa Tenggara Barat. We identified 135 districts or cities as stunting hotspot areas that spread in 14 provinces in four islands.
Conclusion. There is autocorrelation among districts or cities in Sumatera, Java, Sulawesi, and Bali NTT NTB which resulted in 135 districts or cities identified as stunting hotspots in four major islands in Indonesia
Policy implication. Provide information to the government in prioritizing stunting prevention areas in Indonesia in term of the acceleration of stunting prevention.
Spatial Analysis and Mathematics in Health Research: Why