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Evaluating neighborhood structures for modeling intercity diffusion of large-scale dengue epidemics

Overview of attention for article published in International Journal of Health Geographics, May 2018
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Title
Evaluating neighborhood structures for modeling intercity diffusion of large-scale dengue epidemics
Published in
International Journal of Health Geographics, May 2018
DOI 10.1186/s12942-018-0131-2
Pubmed ID
Authors

Tzai-Hung Wen, Ching-Shun Hsu, Ming-Che Hu

Abstract

Dengue fever is a vector-borne infectious disease that is transmitted by contact between vector mosquitoes and susceptible hosts. The literature has addressed the issue on quantifying the effect of individual mobility on dengue transmission. However, there are methodological concerns in the spatial regression model configuration for examining the effect of intercity-scale human mobility on dengue diffusion. The purposes of the study are to investigate the influence of neighborhood structures on intercity epidemic progression from pre-epidemic to epidemic periods and to compare definitions of different neighborhood structures for interpreting the spread of dengue epidemics. We proposed a framework for assessing the effect of model configurations on dengue incidence in 2014 and 2015, which were the most severe outbreaks in 70 years in Taiwan. Compared with the conventional model configuration in spatial regression analysis, our proposed model used a radiation model, which reflects population flow between townships, as a spatial weight to capture the structure of human mobility. The results of our model demonstrate better model fitting performance, indicating that the structure of human mobility has better explanatory power in dengue diffusion than the geometric structure of administration boundaries and geographic distance between centroids of cities. We also identified spatial-temporal hierarchy of dengue diffusion: dengue incidence would be influenced by its immediate neighboring townships during pre-epidemic and epidemic periods, and also with more distant neighbors (based on mobility) in pre-epidemic periods. Our findings suggest that the structure of population mobility could more reasonably capture urban-to-urban interactions, which implies that the hub cities could be a "bridge" for large-scale transmission and make townships that immediately connect to hub cities more vulnerable to dengue epidemics.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 17%
Researcher 8 13%
Student > Bachelor 7 12%
Student > Doctoral Student 5 8%
Student > Ph. D. Student 4 7%
Other 7 12%
Unknown 19 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 13%
Computer Science 5 8%
Medicine and Dentistry 4 7%
Nursing and Health Professions 3 5%
Agricultural and Biological Sciences 3 5%
Other 16 27%
Unknown 21 35%
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 04 May 2018.
All research outputs
#20,485,225
of 23,047,237 outputs
Outputs from International Journal of Health Geographics
#552
of 633 outputs
Outputs of similar age
#287,421
of 326,458 outputs
Outputs of similar age from International Journal of Health Geographics
#10
of 13 outputs
Altmetric has tracked 23,047,237 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 633 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.