Building a sanitary vulnerability map from open source data in Argentina (2010-2018)

Abstract Background Designing public health policies to target the needs of specific places requires highly granular data. When geographic health statistics from official sources are absent or lacking in spatial detail, Sanitary Vulnerability metrics derived from Census and other georeferenced publi...

Full description

Saved in:
Bibliographic Details
Main Authors: Germán Federico Rosati (Author), Tomás Alberto Olego (Author), H. Antonio Vazquez Brust (Author)
Format: Book
Published: BMC, 2020-09-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_1b29686b18fe4f139e8c8b6048c2c95b
042 |a dc 
100 1 0 |a Germán Federico Rosati  |e author 
700 1 0 |a Tomás Alberto Olego  |e author 
700 1 0 |a H. Antonio Vazquez Brust  |e author 
245 0 0 |a Building a sanitary vulnerability map from open source data in Argentina (2010-2018) 
260 |b BMC,   |c 2020-09-01T00:00:00Z. 
500 |a 10.1186/s12939-020-01292-3 
500 |a 1475-9276 
520 |a Abstract Background Designing public health policies to target the needs of specific places requires highly granular data. When geographic health statistics from official sources are absent or lacking in spatial detail, Sanitary Vulnerability metrics derived from Census and other georeferenced public data can be used to identify areas in particular need of attention. With that aim, a Vulnerability Map was developed, identifying areas with a substantial deficit in its population health coverage. As a result a novel methodology for measuring Sanitary Vulnerability is presented, that can potentially be applied to different time periods or geographies. Methods Census, official listings of public health facilities and crowdsourced georeferenced data are used. The Vulnerability Index is built using dimensionality reduction techniques such as Autoencoders and Non-parametric PCA. Main results The high resolution map shows the geographical distribution of a Sanitary Vulnerability Index, produced using official and crowdsourced open data sources, overcoming the lack of official sources on health indicators at the local level. Conclusions The Sanitary Vulnerability Map's value as a tool for place specific policymaking was validated by using it to predict local health related metrics such as health coverage. Further lines of work contemplate using the Map to study the interaction between Sanitary Vulnerability and the prevalence of different diseases, and also applying its methodology in the context of other public services such as education, security, housing, etc. 
546 |a EN 
690 |a Sample 
690 |a Article 
690 |a Health 
690 |a Vulnerability 
690 |a Census 
690 |a Public policy 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n International Journal for Equity in Health, Vol 19, Iss 1, Pp 1-16 (2020) 
787 0 |n http://link.springer.com/article/10.1186/s12939-020-01292-3 
787 0 |n https://doaj.org/toc/1475-9276 
856 4 1 |u https://doaj.org/article/1b29686b18fe4f139e8c8b6048c2c95b  |z Connect to this object online.