| Title |
Merging Economics and Epidemiology to Improve the Prediction and Management of Infectious Disease
|
|---|---|
| Published in |
EcoHealth, September 2014
|
| DOI | 10.1007/s10393-014-0963-6 |
| Pubmed ID | |
| Authors |
Charles Perrings, Carlos Castillo-Chavez, Gerardo Chowell, Peter Daszak, Eli P. Fenichel, David Finnoff, Richard D. Horan, A. Marm Kilpatrick, Ann P. Kinzig, Nicolai V. Kuminoff, Simon Levin, Benjamin Morin, Katherine F. Smith, Michael Springborn |
| Abstract |
Mathematical epidemiology, one of the oldest and richest areas in mathematical biology, has significantly enhanced our understanding of how pathogens emerge, evolve, and spread. Classical epidemiological models, the standard for predicting and managing the spread of infectious disease, assume that contacts between susceptible and infectious individuals depend on their relative frequency in the population. The behavioral factors that underpin contact rates are not generally addressed. There is, however, an emerging a class of models that addresses the feedbacks between infectious disease dynamics and the behavioral decisions driving host contact. Referred to as "economic epidemiology" or "epidemiological economics," the approach explores the determinants of decisions about the number and type of contacts made by individuals, using insights and methods from economics. We show how the approach has the potential both to improve predictions of the course of infectious disease, and to support development of novel approaches to infectious disease management. |
X Demographics
The data shown below were collected from the profiles of 42 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 24 | 57% |
| Australia | 2 | 5% |
| Chile | 1 | 2% |
| Denmark | 1 | 2% |
| Greece | 1 | 2% |
| France | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 11 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 52% |
| Scientists | 16 | 38% |
| Science communicators (journalists, bloggers, editors) | 3 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| United Kingdom | 1 | <1% |
| Vietnam | 1 | <1% |
| Mexico | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 184 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 17% |
| Student > Ph. D. Student | 27 | 14% |
| Student > Master | 25 | 13% |
| Student > Doctoral Student | 12 | 6% |
| Professor | 11 | 6% |
| Other | 43 | 23% |
| Unknown | 40 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 19% |
| Economics, Econometrics and Finance | 21 | 11% |
| Medicine and Dentistry | 15 | 8% |
| Business, Management and Accounting | 9 | 5% |
| Veterinary Science and Veterinary Medicine | 9 | 5% |
| Other | 53 | 28% |
| Unknown | 47 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 84. 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 19 March 2021.
All research outputs
#516,049
of 25,789,020 outputs
Outputs from EcoHealth
#37
of 753 outputs
Outputs of similar age
#4,984
of 261,864 outputs
Outputs of similar age from EcoHealth
#3
of 19 outputs
Altmetric has tracked 25,789,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 753 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done particularly well, scoring higher than 95% of its peers.
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 261,864 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.