Potential early identification of a large Campylobacter outbreak using alternative surveillance data sources: Autoregressive modelling and spatiotemporal clustering

• Main Authors: ADNAN, Mehnaz, GAO, Xiaoying, BAI, Xiaohan, NEWBERN, Elizabeth, SHERWOOD, Jill, JONES, Nicholas, BAKER, Michael, WOOD, Tim, Wei GAO
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Campylobacter; disease outbreaks; forecasting; spatio-temporal analysis; Databases and Information Systems; Public Health
• Online Access: https://ink.library.smu.edu.sg/sis_research/5647
• Institution: Singapore Management University

Background: Over one-third of the population of Havelock North, New Zealand, approximately 5500 people, were estimated to have been affected by campylobacteriosis in a large waterborne outbreak. Cases reported through the notifiable disease surveillance system (notified case reports) are inevitably...