Potential Early Identification of a Large Campylobacter Outbreak Using Alternative Surveillance Data Sources: Autoregressive Modelling and Spatiotemporal Clustering
Open Access
- 17 September 2020
- journal article
- research article
- Published by JMIR Publications Inc. in JMIR Public Health and Surveillance
- Vol. 6 (3), e18281-43
- https://doi.org/10.2196/18281
Abstract
A multidisciplinary journal that focuses on public health and technology, public health informatics, mass media campaigns, surveillance, and innovation in public health practice and research. Also dedicated to rapid open data sharing during epidemics.Keywords
This publication has 34 references indexed in Scilit:
- Monitoring Influenza Epidemics in China with Search Query from BaiduPLOS ONE, 2013
- Influenza Forecasting with Google Flu TrendsPLOS ONE, 2013
- Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and application examplesInternational Journal of Health Geographics, 2011
- Web GIS in practice IX: a demonstration of geospatial visual analytics using Microsoft Live Labs Pivot technology and WHO mortality dataInternational Journal of Health Geographics, 2011
- Analysing spatio-temporal autocorrelation with LISTA-VizInternational Journal of Geographical Information Science, 2010
- Local Indicators of Spatial Association-LISAGeographical Analysis, 2010
- Using the SaTScan method to detect local malaria clusters for guiding malaria control programmesMalaria Journal, 2009
- Temporal and spatial changes in social vulnerability to natural hazardsProceedings of the National Academy of Sciences of the United States of America, 2008
- Timeliness of Data Sources Used for Influenza SurveillanceJournal of the American Medical Informatics Association, 2007
- Estimating influenza-related hospital admissions in older people from GP consultation dataVaccine, 2004