Spatial distribution and determinant factors of anemia among

Spatial distribution and determinant factors of anemia among adults aged 15–59 in Ethiopia; using mixed-effects ordinal logistic regression model


Background
Anemia is a global public health problem, particularly in developing countries. Assessing the geographic distributions and determinant factors is a key and crucial step in designing targeted prevention and intervention programmes to address anemia. Thus, the current study is aimed to assess the spatial distribution and determinant factors of anemia in Ethiopia among adults aged 15–59.
Methods
A secondary data analysis was done based on 2016 Ethiopian Demographic and Health Surveys (EDHS). Total weighted samples of 29,140 adults were included. Data processing and analysis were performed using STATA 14; ArcGIS 10.1 and SaTScan 9.6 software. Spatial autocorrelation was checked using Global Moran’s index (Moran’s I). Hotspot analysis was made using Gettis-OrdGi*statistics. Additionally, spatial scan statistics were applied to identify significant primary and secondary cluster of anemia. Mixed effect ordinal logistics were fitted to determine factors associated with the level of anemia.

Related Keywords

Amhara , Samara , Ethiopia , Gambella , Gambela Hizboch , Tigray , Addis Ababa , T10 , Dire Dawa , Somalia , Somali , Ethiopian , , Health Surveys , East African , Southern Nations , People Region , Addis Ababa City , Housing Census , Body Mass Index , Personal Record , Global Moran , Bayesian Information Criteria , Information Criteria , Odds Ratio , Confidence Interval , அம்ஹாரா , அமரா , எத்தியோப்பியா , டைக்ரே , அபாபா , மோசமான தாவா , சோமாலியா , சோமாலி , எத்தியோப்பியன் , ஆரோக்கியம் ஆய்வுகள் , தெற்கு நாடுகள் , மக்கள் பகுதி , வீட்டுவசதி மக்கள் தொகை கணக்கெடுப்பு , உடல் நிறை குறியீட்டு , தனிப்பட்ட பதிவு , உலகளாவிய மோரன் , தகவல் அளவுகோல்கள் , முரண்பாடுகள் ரேஶியோ , நம்பிக்கை இடைவெளி ,

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