Spatial Bayes Analysis on Cases of Malnutrition in East Nusa Tenggara, Indonesia
Deskripsi:
This study models and maps malnutrition cases in East Nusa Tenggara using a spatial Bayes approach with INLA. Findings show that poverty depth is the main factor influencing malnutrition, with high-risk areas identified in Sumba Barat Daya, Sumba Barat, and Sumba Utara. Other factors include immunization rates, healthcare access, population density, and breastfeeding duration.
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Topik tematik:
Jenis Arsip: Jurnal
Tahun terbit: 2021
Bahasa: Bahasa Inggris
Penulis: Ro’fah Nur Rachmawati, Novi Hidayat Pusponegoro
Penerbit: Science Direct
Lisensi: Hak Cipta Terdaftar
ISBN/ISSN: –
Format: PDF
Ukuran File: 1
# Hal: 7 halaman
