Title |
EPIPOI: A user-friendly analytical tool for the extraction and visualization of temporal parameters from epidemiological time series
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Published in |
BMC Public Health, November 2012
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DOI | 10.1186/1471-2458-12-982 |
Pubmed ID | |
Authors |
Wladimir J Alonso, Benjamin JJ McCormick |
Abstract |
There is an increasing need for processing and understanding relevant information generated by the systematic collection of public health data over time. However, the analysis of those time series usually requires advanced modeling techniques, which are not necessarily mastered by staff, technicians and researchers working on public health and epidemiology. Here a user-friendly tool, EPIPOI, is presented that facilitates the exploration and extraction of parameters describing trends, seasonality and anomalies that characterize epidemiological processes. It also enables the inspection of those parameters across geographic regions. Although the visual exploration and extraction of relevant parameters from time series data is crucial in epidemiological research, until now it had been largely restricted to specialists. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 50% |
United Kingdom | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 3% |
Vietnam | 1 | 1% |
Indonesia | 1 | 1% |
United Kingdom | 1 | 1% |
United States | 1 | 1% |
Unknown | 65 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 16 | 23% |
Student > Ph. D. Student | 9 | 13% |
Student > Master | 7 | 10% |
Student > Doctoral Student | 6 | 8% |
Student > Bachelor | 4 | 6% |
Other | 16 | 23% |
Unknown | 13 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 20 | 28% |
Computer Science | 9 | 13% |
Agricultural and Biological Sciences | 4 | 6% |
Nursing and Health Professions | 4 | 6% |
Environmental Science | 3 | 4% |
Other | 14 | 20% |
Unknown | 17 | 24% |