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The importance of climatic factors and outliers in predicting regional monthly campylobacteriosis risk in Georgia, USA

Overview of attention for article published in International Journal of Biometeorology, January 2014
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Title
The importance of climatic factors and outliers in predicting regional monthly campylobacteriosis risk in Georgia, USA
Published in
International Journal of Biometeorology, January 2014
DOI 10.1007/s00484-014-0788-6
Pubmed ID
Authors

J. Weisent, W. Seaver, A. Odoi, B. Rohrbach

Abstract

Incidence of Campylobacter infection exhibits a strong seasonal component and regional variations in temperate climate zones. Forecasting the risk of infection regionally may provide clues to identify sources of transmission affected by temperature and precipitation. The objectives of this study were to (1) assess temporal patterns and differences in campylobacteriosis risk among nine climatic divisions of Georgia, USA, (2) compare univariate forecasting models that analyze campylobacteriosis risk over time with those that incorporate temperature and/or precipitation, and (3) investigate alternatives to supposedly random walk series and non-random occurrences that could be outliers. Temporal patterns of campylobacteriosis risk in Georgia were visually and statistically assessed. Univariate and multivariable forecasting models were used to predict the risk of campylobacteriosis and the coefficient of determination (R (2)) was used for evaluating training (1999-2007) and holdout (2008) samples. Statistical control charting and rolling holdout periods were investigated to better understand the effect of outliers and improve forecasts. State and division level campylobacteriosis risk exhibited seasonal patterns with peaks occurring between June and August, and there were significant associations between campylobacteriosis risk, precipitation, and temperature. State and combined division forecasts were better than divisions alone, and models that included climate variables were comparable to univariate models. While rolling holdout techniques did not improve predictive ability, control charting identified high-risk time periods that require further investigation. These findings are important in (1) determining how climatic factors affect environmental sources and reservoirs of Campylobacter spp. and (2) identifying regional spikes in the risk of human Campylobacter infection and their underlying causes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 3%
Italy 1 3%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Ph. D. Student 7 18%
Student > Master 4 10%
Student > Doctoral Student 3 8%
Professor > Associate Professor 3 8%
Other 7 18%
Unknown 8 20%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 4 10%
Agricultural and Biological Sciences 4 10%
Economics, Econometrics and Finance 3 8%
Environmental Science 3 8%
Earth and Planetary Sciences 3 8%
Other 12 30%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 January 2014.
All research outputs
#18,361,534
of 22,741,406 outputs
Outputs from International Journal of Biometeorology
#1,079
of 1,290 outputs
Outputs of similar age
#228,828
of 306,091 outputs
Outputs of similar age from International Journal of Biometeorology
#17
of 22 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,290 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.