| Title |
A statistician’s perspective on digital epidemiology
|
|---|---|
| Published in |
Life Sciences, Society and Policy, November 2017
|
| DOI | 10.1186/s40504-017-0063-9 |
| Pubmed ID | |
| Authors |
Michael Höhle |
| Abstract |
We address the question "does digital epidemiology represent an epistemic shift in infectious disease epidemiology" from a statistician's viewpoint. Our main argument is that infectious disease epidemiology has not changed fundamentally as it always has been data-driven. However, as the data aspect has become more prominent, we discuss the statistical toolbox of the modern epidemiologist and argue that problem solving in the digital age, more than ever requires an interdisciplinary quantitative approach. |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 18% |
| Switzerland | 2 | 12% |
| United Kingdom | 1 | 6% |
| United States | 1 | 6% |
| Sweden | 1 | 6% |
| Austria | 1 | 6% |
| Chile | 1 | 6% |
| Unknown | 7 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 59% |
| Scientists | 7 | 41% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 18% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Master | 6 | 13% |
| Student > Doctoral Student | 5 | 11% |
| Other | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 10 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 16% |
| Computer Science | 5 | 11% |
| Veterinary Science and Veterinary Medicine | 3 | 7% |
| Social Sciences | 3 | 7% |
| Mathematics | 2 | 4% |
| Other | 8 | 18% |
| Unknown | 17 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 12 May 2021.
All research outputs
#3,283,040
of 25,223,158 outputs
Outputs from Life Sciences, Society and Policy
#37
of 109 outputs
Outputs of similar age
#68,065
of 451,285 outputs
Outputs of similar age from Life Sciences, Society and Policy
#3
of 3 outputs
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