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A flexibly shaped space-time scan statistic for disease outbreak detection and monitoring

Overview of attention for article published in International Journal of Health Geographics, April 2008
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1 X user

Citations

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Title
A flexibly shaped space-time scan statistic for disease outbreak detection and monitoring
Published in
International Journal of Health Geographics, April 2008
DOI 10.1186/1476-072x-7-14
Pubmed ID
Authors

Kunihiko Takahashi, Martin Kulldorff, Toshiro Tango, Katherine Yih

Abstract

Early detection of disease outbreaks enables public health officials to implement disease control and prevention measures at the earliest possible time. A time periodic geographical disease surveillance system based on a cylindrical space-time scan statistic has been used extensively for disease surveillance along with the SaTScan software. In the purely spatial setting, many different methods have been proposed to detect spatial disease clusters. In particular, some spatial scan statistics are aimed at detecting irregularly shaped clusters which may not be detected by the circular spatial scan statistic.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 6 4%
France 3 2%
Italy 1 <1%
Kenya 1 <1%
Germany 1 <1%
Brazil 1 <1%
Australia 1 <1%
Sweden 1 <1%
Algeria 1 <1%
Other 0 0%
Unknown 120 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 24%
Researcher 29 21%
Student > Master 16 12%
Professor > Associate Professor 9 7%
Student > Bachelor 8 6%
Other 23 17%
Unknown 19 14%
Readers by discipline Count As %
Medicine and Dentistry 27 20%
Agricultural and Biological Sciences 23 17%
Social Sciences 15 11%
Computer Science 13 10%
Mathematics 10 7%
Other 24 18%
Unknown 24 18%
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 26 March 2015.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from International Journal of Health Geographics
#538
of 654 outputs
Outputs of similar age
#88,519
of 95,621 outputs
Outputs of similar age from International Journal of Health Geographics
#6
of 6 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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