liu.seSearch for publications in DiVA
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Assessing the Multiple Dimensions of Poverty. Data Mining Approaches to the 2004-14 Health and Demographic Surveillance System in Cuatro Santos, Nicaragua
Uppsala Univ, Sweden.
Asociac Desarrollo Econ and Sostenible El Espino AP, Nicaragua; Nicaraguan Autonomous Natl Univ Leon UNAN Leon, Nicaragua.
Uppsala Univ, Sweden; Pan Amer Hlth Org, Honduras.
Uppsala Univ, Sweden.
Vise andre og tillknytning
2020 (engelsk)Inngår i: Frontiers In Public Health, ISSN 2296-2565, FRONTIERS IN PUBLIC HEALTH, Vol. 7, artikkel-id 409Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

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 25,893 inhabitants in 5,966 households (2014). A local process analyzing poverty-related problems, prioritizing suggested actions, was initiated in 1997 and generated a community action plan 2002-2015. Interventions were school breakfasts, environmental protection, water and sanitation, preventive healthcare, home gardening, microcredit, technical training, university education stipends, and use of the Internet. In 2004, a survey of basic health and demographic information was performed in the whole population, followed by surveillance updates in 2007, 2009, and 2014 linking households and individuals. Information included the house material (floor, walls) and services (water, sanitation, electricity) as well as demographic data (birth, deaths, migration). Data on participation in interventions, food security, household assets, and womens self-rated health were collected in 2014. A K-means algorithm was used to cluster the household data (56 variables) in six clusters. The poverty ranking of household clusters using the unsatisfied basic needs index variables changed when including variables describing basic capabilities. The households in the fairly rich cluster with assets such as motorbikes and computers were described as modern. Those in the fairly poor cluster, having different degrees of food insecurity, were labeled vulnerable. Poor and poorest clusters of households were traditional, e.g., in using horses for transport. Results displayed a society transforming from traditional to modern, where the forerunners were not the richest but educated, had more working members in household, had fewer children, and were food secure. Those lagging were the poor, traditional, and food insecure. The approach may be useful for an improved understanding of poverty and to direct local policy and interventions.

sted, utgiver, år, opplag, sider
Frontiers Media S.A., 2020. Vol. 7, artikkel-id 409
Emneord [en]
multidimensional poverty; capability approach; health and demographic surveillance; data mining; K-means clustering; poverty alleviation
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-164176DOI: 10.3389/fpubh.2019.00409ISI: 000514381800001PubMedID: 32064243Scopus ID: 2-s2.0-85079503449OAI: oai:DiVA.org:liu-164176DiVA, id: diva2:1413996
Merknad

Funding Agencies|Uppsala University, Sweden; Centro de Investigacion en Demografia y Salud (CIDS), Universidad Nacional Autonoma de Nicaragua (UNAN)-Leon; Asociacion para el Desarrollo Economico y Sostenible de El Espino (APRODESE); Fundacion Coordinacion de Hermanamientos e Iniciativas de Cooperacion; Swedish Research CouncilSwedish Research Council

Tilgjengelig fra: 2020-03-11 Laget: 2020-03-11 Sist oppdatert: 2020-04-02bibliografisk kontrollert

Open Access i DiVA

fulltext(520 kB)14 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 520 kBChecksum SHA-512
a29bc70bccea095203187a0f3c73a0b2636d1016f08d395553c8f1979b3b50a96a5de93ad047e8f6fb694ae7ac1bcb331cb68e26782aa75a1b048b5313f26821
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstPubMedScopus

Søk i DiVA

Av forfatter/redaktør
Sysoev, Oleg
Av organisasjonen
I samme tidsskrift
Frontiers In Public Health

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 14 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
pubmed
urn-nbn

Altmetric

doi
pubmed
urn-nbn
Totalt: 29 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf