TY - JOUR
T1 - Calidad de las herramientas automáticas de geocodificación
T2 - un estudio usando direcciones de fichas de registro hospitalario en Temuco, Chile
AU - Quinteros, Maria Elisa
AU - Blazquez, Carola
AU - Rosas, Felipe
AU - Ayala, Salvador
AU - García, Ximena Marcela Ossa
AU - Delgado-Saborit, Juana Maria
AU - Harrison, Roy M.
AU - Ruiz-Rudolph, Pablo
AU - Yohannessen, Karla
N1 - Funding Information:
(DPI20140093) was granted by CONICYT and Research Councils UK. J. M. Delgado-Saborit is supported by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement n. 750531. M. E. Quinteros and S. Ayala were supported by a doctoral scholarship by CONICYT Chile Beca Doctorado Nacional n. 21150801 and n. 21191111, respectively.
Funding Information:
Impact of Wood Burning Air Pollution on Preeclampsia and other Pregnancy Outcomes in Temuco, Chile (DPI20140093) was granted by CONICYT and Research Councils UK. J. M. Delgado-Saborit is supported by the European Union?s Horizon 2020 research and innovation program under the Marie Sk?odowska-Curie grant agreement n. 750531. M. E. Quinteros and S. Ayala were supported by a doctoral scholarship by CONICYT Chile Beca Doctorado Nacional n. 21150801 and n. 21191111, respectively.
Publisher Copyright:
© 2022 Fundacao Oswaldo Cruz. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Automatic geocoding methods have become popular in recent years, facilitating the study of the association between health outcomes and the place of living. However, rather few studies have evaluated geocoding quality, with most of them being performed in the US and Europe. This article aims to compare the quality of three automatic online geocoding tools against a reference method. A subsample of 300 handwritten addresses from hospital records was geocoded using Bing, Google Earth, and Google Maps. Match rates were higher (> 80%) for Google Maps and Google Earth compared with Bing. However, the accuracy of the addresses was better for Bing with a larger proportion (> 70%) of addresses with positional errors below 20m. Generally, performance did not vary for each method for different socioeconomic status. Overall, the methods showed an acceptable, but heterogeneous performance, which may be a warning against the use of automatic methods without assessing quality in other municipalities, particularly in Chile and Latin America.
AB - Automatic geocoding methods have become popular in recent years, facilitating the study of the association between health outcomes and the place of living. However, rather few studies have evaluated geocoding quality, with most of them being performed in the US and Europe. This article aims to compare the quality of three automatic online geocoding tools against a reference method. A subsample of 300 handwritten addresses from hospital records was geocoded using Bing, Google Earth, and Google Maps. Match rates were higher (> 80%) for Google Maps and Google Earth compared with Bing. However, the accuracy of the addresses was better for Bing with a larger proportion (> 70%) of addresses with positional errors below 20m. Generally, performance did not vary for each method for different socioeconomic status. Overall, the methods showed an acceptable, but heterogeneous performance, which may be a warning against the use of automatic methods without assessing quality in other municipalities, particularly in Chile and Latin America.
KW - Geographic Mapping
KW - Residence Characteristics
KW - Spatial Analysis
UR - http://www.scopus.com/inward/record.url?scp=85123905850&partnerID=8YFLogxK
U2 - 10.1590/0102-311X00288920
DO - 10.1590/0102-311X00288920
M3 - Artículo
C2 - 35081207
AN - SCOPUS:85123905850
SN - 0102-311X
VL - 38
JO - Cadernos de Saude Publica
JF - Cadernos de Saude Publica
IS - 1
M1 - e00288920
ER -
