Improving equity using dynamic geographic accessibility data for urban health services planning

Bibliographic Data

ID21483353
AuthorsLuis Gabriel Cuervo (0000-0003-2732-5019, Universitat Autonòma de Barcelona, corresponding author), Eliana Martínez‐herrera (0000-0001-6524-4709, Universitat Pompeu Fabra), Eliana Martínez-Herrera, Daniel Cuervo (0000-0002-3323-9865), Cristian Julio Molina (0000-0002-8820-2314, Universidad del Valle), Ciro Jaramillo
Year2022
Volume36
Issue6
Pages497-499
Publication date2022-11-01
Open AccessYes
TypeARTICLE
VenueGaceta Sanitaria (JOURNAL)
Journal identifiersISSN: 0213-9111 • E-ISSN: 1578-1283
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.gaceta.2022.05.001
PMID35697568
OpenAlexW4282925305
LanguageEN
Citations received6
References cited20

Before big data, our analysis was usually limited to testing a small number of hypotheses that we defined well before we even collected the data

Business · Environmental planning · Geography · Health equity · MEDLINE · Political science · Public health · Data-Driven Disease Surveillance · Health disparities and outcomes · Medicine · Nursing · Urban Transport and Accessibility

Tools

Open DOIOpen Access