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

Development and Evaluation of Research Methods, Instruments and Tools (637) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1088) Surveillance Systems (493) Infodemiology and Infoveillance (1460) Tools, Programs and Algorithms (323) Environmental Health (96) Air Pollution (23)

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 (2) Tweetations (5) Metrics

Journals

  1. Pei X, Jiang Y, Wang Z, Zhao X. Causal Relationship Between Urban Air Pollution and Pulmonary Embolism: A Two-Sample Mendelian Randomization Study. Atmosphere 2025;16(4):384 View

Conference Proceedings

  1. Lin C, Zhou J, Zhang J, Yang C, Agichtein E. 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI). Graph Neural Network Modeling of Web Search Activity for Real-time Pandemic Forecasting View