Treffer: SalHUD--A Graphical Interface to Public Health Data in Puerto Rico.

Title:
SalHUD--A Graphical Interface to Public Health Data in Puerto Rico.
Authors:
Ortiz-Zuazaga HG; Department of Computer Science, University of Puerto Rico, Río Piedras Campus, San Juan 00936, Puerto Rico. humberto.ortiz@upr.edu., Arce-Corretjer R; Department of Computer Science, University of Puerto Rico, Río Piedras Campus, San Juan 00936, Puerto Rico. racorretjer@gmail.com., Solá-Sloan JM; Department of Computer Science, University of Puerto Rico, Bayamón Campus, Bayamón 00959, Puerto Rico. juan.sola@upr.edu., Conde JG; School of Medicine, University of Puerto Rico, Medical Sciences Campus, San Juan 00936, Puerto Rico. jose.conde1@upr.edu.
Source:
International journal of environmental research and public health [Int J Environ Res Public Health] 2015 Dec 22; Vol. 13 (1), pp. ijerph13010018. Date of Electronic Publication: 2015 Dec 22.
Publication Type:
Journal Article; Research Support, N.I.H., Extramural
Language:
English
Journal Info:
Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE
Imprint Name(s):
Original Publication: Basel : MDPI, c2004-
References:
Bol Asoc Med P R. 1992 Jan;84(1):11-4. (PMID: 1503582)
Grant Information:
G12 MD007600 United States MD NIMHD NIH HHS; P20 GM103475 United States GM NIGMS NIH HHS; G12MD007600 United States MD NIMHD NIH HHS; P20GM103475 United States GM NIGMS NIH HHS
Contributed Indexing:
Keywords: Javascript; health data; visualization
Entry Date(s):
Date Created: 20151226 Date Completed: 20160815 Latest Revision: 20181202
Update Code:
20250114
PubMed Central ID:
PMC4730409
DOI:
10.3390/ijerph13010018
PMID:
26703677
Database:
MEDLINE

Weitere Informationen

Purpose: This paper describes SalHUD, a prototype web-based application for visualizing health data from Puerto Rico. Our initial focus was to provide interactive maps displaying years of potential life lost (YPLL).
Methods: The public-use mortality file for year 2008 was downloaded from the Puerto Rico Institute of Statistics website. Data was processed with R, Python and EpiInfo to calculate years of potential life lost for the leading causes of death on each of the 78 municipalities in the island. Death records were classified according to ICD-10 codes. YPLL for each municipality was integrated into AtlasPR, a D3 Javascript map library. Additional Javascript, HTML and CSS programing was required to display maps as a web-based interface.
Results: YPLL for all municipalities are displayed on a map of Puerto Rico for each of the ten leading causes of death and for all causes combined, so users may dynamically explore the impact of premature mortality.
Discussion: This work is the first step in providing the general public in Puerto Rico with user-friendly, interactive, visual access to public health data that is usually published in numerical, text-based media.