Year: 2023
Type: article
Abstract: INTRODUCTION: The wealth index is widely used as a proxy for a household's socioeconomic position (SEP) and living standard. This work constructs a wealth index for the Mopeia district in Mozambique using data collected in year 2021 under the BOHEMIA (Broad One Health Endectocide-based Malaria Intervention in Africa) project. METHODS: We evaluate the performance of three alternative approaches against the Demographic and Health Survey (DHS) method based wealth index: feature selection principal components analysis (PCA), sparse PCA and robust PCA. The internal coherence between four wealth indices is investigated through statistical testing. Validation and an evaluation of the stability of the wealth index are performed with additional household income data from the BOHEMIA Health Economics Survey and the 2018 Malaria Indicator Survey data in Mozambique. RESULTS: The Spearman's rank correlation between wealth index ventiles from four methods is over 0.98, indicating a high consistency in results across methods. Wealth rankings and households' income show a strong concordance with the area under the curve value of ~0.7 in the receiver operating characteristic analysis. The agreement between the alternative wealth indices and the DHS wealth index demonstrates the stability in rankings from the alternative methods. CONCLUSIONS: This study creates a wealth index for Mopeia, Mozambique, and shows that DHS method based wealth index is an appropriate proxy for the SEP in low-income regions. However, this research recommends feature selection PCA over the DHS method since it uses fewer asset indicators and constructs a high-quality wealth index.
Source: BMJ Global Health
Authors: Kexin Xie, Achla Marathe, Xinwei Deng, Paula Ruiz-Castillo, Saimado Imputiua, Eldo Elobolobo, Victor Mutepa, Mussa Sale, Patricia Nicolas, Julia Montana, Edgar Jamisse, Humberto Munguambe, Felisbela Materrula, Aina Casellas, Regina Rabinovich, Francisco Saute, Carlos J Chaccour, Charfudin Sacoor, Cassidy Rist
Institutions: Virginia Tech, University of Virginia, Barcelona Institute for Global Health, Universitat de Barcelona, Manhiça Health Research Centre, Harvard University, Centro de Investigación Biomédica en Red, Centro de Investigación Biomédica en Red Enfermedades Infecciosas, Universidad de Navarra, Virginia–Maryland College of Veterinary Medicine
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,679
OpenAlex ID: W4386247143
