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Early outbreak detection by linking health advice line calls to water distribution areas retrospectively demonstrated in a large waterborne outbreak of cryptosporidiosis in Sweden

Overview of attention for article published in BMC Public Health, April 2017
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Title
Early outbreak detection by linking health advice line calls to water distribution areas retrospectively demonstrated in a large waterborne outbreak of cryptosporidiosis in Sweden
Published in
BMC Public Health, April 2017
DOI 10.1186/s12889-017-4233-8
Pubmed ID
Authors

Pär Bjelkmar, Anette Hansen, Caroline Schönning, Jakob Bergström, Margareta Löfdahl, Marianne Lebbad, Anders Wallensten, Görel Allestam, Stephan Stenmark, Johan Lindh

Abstract

In the winter and spring of 2011 a large outbreak of cryptosporidiosis occurred in Skellefteå municipality, Sweden. This study summarizes the outbreak investigation in terms of outbreak size, duration, clinical characteristics, possible source(s) and the potential for earlier detection using calls to a health advice line. The investigation included two epidemiological questionnaires and microbial analysis of samples from patients, water and other environmental sources. In addition, a retrospective study based on phone calls to a health advice line was performed by comparing patterns of phone calls between different water distribution areas. Our analyses showed that approximately 18,500 individuals were affected by a waterborne outbreak of cryptosporidiosis in Skellefteå in 2011. This makes it the second largest outbreak of cryptosporidiosis in Europe to date. Cryptosporidium hominis oocysts of subtype IbA10G2 were found in patient and sewage samples, but not in raw water or in drinking water, and the initial contamination source could not be determined. The outbreak went unnoticed to authorities for several months. The analysis of the calls to the health advice line provides strong indications early in the outbreak that it was linked to a particular water treatment plant. We conclude that an earlier detection of the outbreak by linking calls to a health advice line to water distribution areas could have limited the outbreak substantially.

X Demographics

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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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 15%
Student > Bachelor 6 11%
Student > Master 6 11%
Student > Ph. D. Student 6 11%
Student > Postgraduate 3 6%
Other 4 7%
Unknown 21 39%
Readers by discipline Count As %
Engineering 6 11%
Medicine and Dentistry 5 9%
Biochemistry, Genetics and Molecular Biology 4 7%
Agricultural and Biological Sciences 4 7%
Psychology 3 6%
Other 9 17%
Unknown 23 43%
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 29 October 2018.
All research outputs
#14,934,072
of 22,968,808 outputs
Outputs from BMC Public Health
#10,973
of 14,961 outputs
Outputs of similar age
#184,284
of 310,348 outputs
Outputs of similar age from BMC Public Health
#173
of 222 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,961 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 23rd percentile – i.e., 23% 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 310,348 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 222 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.