This paper is in the following e-collection/theme issue:

Tutorial (2) Health Services Research (512) Health Care Quality and Health Services Research (284) Innovative Methods in Public Health and Surveillance (354) Data Science (297) Public Health Informatics (100) Public (e)Health, Digital Epidemiology and Public Health Informatics (839)

Published on in Vol 10 (2024)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50379, first published .
Generating Contextual Variables From Web-Based Data for Health Research: Tutorial on Web Scraping, Text Mining, and Spatial Overlay Analysis

Generating Contextual Variables From Web-Based Data for Health Research: Tutorial on Web Scraping, Text Mining, and Spatial Overlay Analysis

Generating Contextual Variables From Web-Based Data for Health Research: Tutorial on Web Scraping, Text Mining, and Spatial Overlay Analysis

Authors of this article:

Pablo Galvez-Hernandez1, 2 Author Orcid Image ;   Angelina Gonzalez-Viana3 Author Orcid Image ;   Luis Gonzalez-de Paz4, 5 Author Orcid Image ;   Ketan Shankardass6, 7 Author Orcid Image ;   Carles Muntaner1, 8 Author Orcid Image
Article Authors Cited by (2) Tweetations (21) Metrics

Journals

  1. Ocagli H, Lanera C, Franzoi M, Monachesi C, Zgheib R, Belluco S, Dacasto M, Gregori D, Baldi I. Unveiling insights from the Joint FAO/WHO Expert Committee on Food Additives (JECFA) portal. Scientific Data 2024;11(1) View
  2. Galvez-Hernandez P, Shankardass K, Puts M, Tourangeau A, Gonzalez-de Paz L, Gonzalez-Viana A, Muntaner C, Freitas A. Mobilizing community health assets through intersectoral collaboration for social connection: Associations with social support and well-being in a nationwide population-based study in Catalonia. PLOS ONE 2025;20(3):e0320317 View