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

Outbreak and Pandemic Preparedness and Management (1673) JMIR Theme Issue: COVID-19 Special Issue (2388) Infectious Diseases (non-STD/STI) (1478) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481) Prevention and Health Promotion (879) Hygiene and Infection Prevention (297) Public Health Informatics (78) Innovative Methods in Public Health and Surveillance (305) Behavioural Surveillance for Public Health (204)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48784, first published .
Assessing SARS-CoV-2 Testing Adherence in a University Town: Recurrent Event Modeling Analysis

Assessing SARS-CoV-2 Testing Adherence in a University Town: Recurrent Event Modeling Analysis

Assessing SARS-CoV-2 Testing Adherence in a University Town: Recurrent Event Modeling Analysis

Authors of this article:

Yury E García1 Author Orcid Image ;   Alec J Schmidt1 Author Orcid Image ;   Leslie Solis2 Author Orcid Image ;   María L Daza-Torres1 Author Orcid Image ;   J Cricelio Montesinos-López1 Author Orcid Image ;   Brad H Pollock1 Author Orcid Image ;   Miriam Nuño1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Yury E García   1 * , PhD ;   Alec J Schmidt   1 * , MSc ;   Leslie Solis   2 * , MS ;   María L Daza-Torres   1 * , PhD ;   J Cricelio Montesinos-López   1 * , PhD ;   Brad H Pollock   1 * , PhD ;   Miriam Nuño   1 * , PhD

1 Department of Public Health Sciences, University of California, Davis, CA, United States

2 Clinical and Translational Science Center, University of California, Davis, CA, United States

*all authors contributed equally

Corresponding Author:

  • Miriam Nuño, PhD
  • Department of Public Health Sciences
  • University of California
  • 1 Shields Avenue
  • Davis, CA, 95616
  • United States
  • Phone: 1 5056999560
  • Email: mnuno@ucdavis.edu