ArticleEpidemiology and infection2008
Temporal and longitudinal analysis of Danish Swine Salmonellosis Control Programme data: implications for surveillance.
Article in Epidemiology and infection, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Macroepidemiological trends of Influenza A virus detection through reverse transcription real-time polymerase chain reaction (RT-rtPCR) in porcine samples in the United States over the last 20 years.Frontiers in veterinary science · 2025Article
- Burden of salmonellosis, campylobacteriosis and listeriosis: a time series analysis, Belgium, 2012 to 2020.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2017Article
- Exploring the surveillance potential of mortality data: nine years of bovine fallen stock data collected in Catalonia (Spain).PloS one · 2015Article
- The importance of climatic factors and outliers in predicting regional monthly campylobacteriosis risk in Georgia, USA.International journal of biometeorology · 2014Article
- Temporal patterns of human and canine Giardia infection in the United States: 2003-2009.Preventive veterinary medicine · 2014Article
- Article
- Time-series analysis of hepatitis A, B, C and E infections in a large Chinese city: application to prediction analysis.Epidemiology and infection · 2013Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The control programme for Salmonella infection in Danish swine has reduced the number of human cases attributable to pork consumption and the focus is now on cost-effectiveness. We applied time-series and longitudinal analyses to data collected between January 1995 and May 2005 to identify if there were predictable periods of risk that could inform sampling strategy; to investigate the potential for forecasting for early aberration detection; and to explore temporal redundancy within the sampling strategy. There was no evidence of seasonality hence no justification to change to targeted sampling at high-risk periods. The forecast of seropositivity made using an ARIMA (0, 1, 2) model had a root-mean-squared percentage error criterion of 8.4% indicating that accurate forecasts are possible. The lorelogram identified temporal redundancy at up to 10 weeks suggesting little value in sampling more frequently than this on the 'average' farm. These findings have practical applications for both farm-level sampling strategy and national-level aberration detection which potentially could result in a more cost-effective surveillance strategy.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.