Assessing the Multiple Dimensions of Poverty. Data Mining Approaches to the 2004–14 Health and Demographic Surveillance System in Cuatro Santos, Nicaragua

Assessing the Multiple Dimensions of Poverty. Data Mining Approaches to the 2004–14 Health and Demographic Surveillance System in Cuatro Santos, Nicaragua

We identified clusters of multiple dimensions of poverty according to the capability approach theory by applying data mining approaches to the Cuatro Santos Health and Demographic Surveillance database, Nicaragua. Four municipalities in northern Nicaragua constitute the Cuatro Santos area, with 25,8...

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Bibliographic Details
Main Authors: Carina Källestål, Elmer Zelaya Blandón, Rodolfo Peña, Wilton Peréz, Mariela Contreras, Lars-Åke Persson, Oleg Sysoev, Katarina Ekholm Selling
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Public Health
Subjects:
multidimensional poverty
capability approach
health and demographic surveillance
data mining
K-means clustering
poverty alleviation
Online Access:https://www.frontiersin.org/article/10.3389/fpubh.2019.00409/full

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https://www.frontiersin.org/article/10.3389/fpubh.2019.00409/full

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