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Impact of biodiversity and seasonality on Lyme-pathogen transmission

Overview of attention for article published in Theoretical Biology and Medical Modelling, November 2014
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Title
Impact of biodiversity and seasonality on Lyme-pathogen transmission
Published in
Theoretical Biology and Medical Modelling, November 2014
DOI 10.1186/1742-4682-11-50
Pubmed ID
Authors

Yijun Lou, Jianhong Wu, Xiaotian Wu

Abstract

Lyme disease imposes increasing global public health challenges. To better understand the joint effects of seasonal temperature variation and host community composition on the pathogen transmission, a stage-structured periodic model is proposed by integrating seasonal tick development and activity, multiple host species and complex pathogen transmission routes between ticks and reservoirs. Two thresholds, one for tick population dynamics and the other for Lyme-pathogen transmission dynamics, are identified and shown to fully classify the long-term outcomes of the tick invasion and disease persistence. Seeding with the realistic parameters, the tick reproduction threshold and Lyme disease spread threshold are estimated to illustrate the joint effects of the climate change and host community diversity on the pattern of Lyme disease risk. It is shown that climate warming can amplify the disease risk and slightly change the seasonality of disease risk. Both the "dilution effect" and "amplification effect" are observed by feeding the model with different possible alternative hosts. Therefore, the relationship between the host community biodiversity and disease risk varies, calling for more accurate measurements on the local environment, both biotic and abiotic such as the temperature and the host community composition.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
United States 1 1%
Netherlands 1 1%
Unknown 64 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 18%
Student > Ph. D. Student 11 16%
Researcher 9 13%
Student > Doctoral Student 6 9%
Student > Bachelor 5 7%
Other 12 18%
Unknown 13 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 35%
Environmental Science 11 16%
Medicine and Dentistry 4 6%
Mathematics 3 4%
Veterinary Science and Veterinary Medicine 3 4%
Other 9 13%
Unknown 14 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 December 2014.
All research outputs
#14,142,620
of 22,772,779 outputs
Outputs from Theoretical Biology and Medical Modelling
#152
of 287 outputs
Outputs of similar age
#190,955
of 361,884 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#5
of 7 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 361,884 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.