| Title |
Optimization of preventive health care facility locations
|
|---|---|
| Published in |
International Journal of Health Geographics, March 2010
|
| DOI | 10.1186/1476-072x-9-17 |
| Pubmed ID | |
| Authors |
Wei Gu, Xin Wang, S Elizabeth McGregor |
| Abstract |
Preventive health care programs can save lives and contribute to a better quality of life by diagnosing serious medical conditions early. The Preventive Health Care Facility Location (PHCFL) problem is to identify optimal locations for preventive health care facilities so as to maximize participation. When identifying locations for preventive health care facilities, we need to consider the characteristics of the preventive health care services. First, people should have more flexibility to select service locations. Second, each preventive health care facility needs to have a minimum number of clients in order to retain accreditation. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Kenya | 2 | 1% |
| United Kingdom | 1 | <1% |
| Tunisia | 1 | <1% |
| Canada | 1 | <1% |
| Taiwan | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Russia | 1 | <1% |
| United States | 1 | <1% |
| Poland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 165 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 19% |
| Student > Master | 28 | 16% |
| Researcher | 27 | 15% |
| Student > Doctoral Student | 10 | 6% |
| Student > Bachelor | 10 | 6% |
| Other | 38 | 22% |
| Unknown | 29 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 28 | 16% |
| Medicine and Dentistry | 22 | 13% |
| Social Sciences | 22 | 13% |
| Business, Management and Accounting | 15 | 9% |
| Computer Science | 7 | 4% |
| Other | 40 | 23% |
| Unknown | 41 | 23% |
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 29 September 2014.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from International Journal of Health Geographics
#538
of 654 outputs
Outputs of similar age
#100,008
of 110,169 outputs
Outputs of similar age from International Journal of Health Geographics
#7
of 7 outputs
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