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

Development and Evaluation of Research Methods, Instruments and Tools (439) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Surveillance Systems (430) Infodemiology and Infoveillance (1278) Tools, Programs and Algorithms (245) Environmental Health (69) Air Pollution (17)

Published on in Vol 6, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23422, first published .
Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Algorithm Development and Validation

Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Algorithm Development and Validation

Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Algorithm Development and Validation

Authors of this article:

Chen Lin1 Author Orcid Image ;   Safoora Yousefi1 Author Orcid Image ;   Elvis Kahoro2 Author Orcid Image ;   Payam Karisani1 Author Orcid Image ;   Donghai Liang3 Author Orcid Image ;   Jeremy Sarnat3 Author Orcid Image ;   Eugene Agichtein1 Author Orcid Image
Article Authors Cited by (1) Tweetations (5) Metrics

Chen Lin   1 , BSc, MSc ;   Safoora Yousefi   1 , DPhil ;   Elvis Kahoro   2 , BSc ;   Payam Karisani   1 , DPhil ;   Donghai Liang   3 , DPhil ;   Jeremy Sarnat   3 , DPhil ;   Eugene Agichtein   1 , DPhil

1 Department of Computer Science, Emory University, Atlanta, GA, United States

2 Department of Computer Science, Pomona College, Claremont, CA, United States

3 Department of Environmental Health, Emory University, Atlanta, GA, United States

Corresponding Author:

  • Chen Lin, BSc, MSc
  • Department of Computer Science
  • Emory University
  • 201 Dowman Drive
  • W302
  • Atlanta, GA, 30322
  • United States
  • Phone: 1 4043950266
  • Email: chen.lin@emory.edu