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

Surveillance Systems (462) Infodemiology and Infoveillance (1349) New Methods (945) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Statistical Methods for Surveillance and Population Health (156)

Published on in Vol 6, No 3 (2020): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18281, first published .
Potential Early Identification of a Large Campylobacter Outbreak Using Alternative Surveillance Data Sources: Autoregressive Modelling and Spatiotemporal Clustering

Potential Early Identification of a Large Campylobacter Outbreak Using Alternative Surveillance Data Sources: Autoregressive Modelling and Spatiotemporal Clustering

Potential Early Identification of a Large Campylobacter Outbreak Using Alternative Surveillance Data Sources: Autoregressive Modelling and Spatiotemporal Clustering

Authors of this article:

Mehnaz Adnan1 Author Orcid Image ;   Xiaoying Gao2 Author Orcid Image ;   Xiaohan Bai2 Author Orcid Image ;   Elizabeth Newbern1 Author Orcid Image ;   Jill Sherwood1 Author Orcid Image ;   Nicholas Jones3 Author Orcid Image ;   Michael Baker4 Author Orcid Image ;   Tim Wood1 Author Orcid Image ;   Wei Gao2 Author Orcid Image
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