Constructing an Urban Population Model for Medical Insurance Scheme Using Microsimulation Techniques. (1st March 2012)
- Record Type:
- Journal Article
- Title:
- Constructing an Urban Population Model for Medical Insurance Scheme Using Microsimulation Techniques. (1st March 2012)
- Main Title:
- Constructing an Urban Population Model for Medical Insurance Scheme Using Microsimulation Techniques
- Authors:
- Xiong, Linping
Zhang, Lulu
Tang, Weidong
Ma, Yuqin - Other Names:
- Chu Haitao Academic Editor.
- Abstract:
- Abstract : China launched a pilot project of medical insurance reform in 79 cities in 2007 to cover urban nonworking residents. An urban population model was created in this paper for China's medical insurance scheme using microsimulation model techniques. The model made it clear for the policy makers the population distributions of different groups of people, the potential urban residents entering the medical insurance scheme. The income trends of units of individuals and families were also obtained. These factors are essential in making the challenging policy decisions when considering to balance the long-term financial sustainability of the medical insurance scheme.
- Is Part Of:
- Computational and mathematical methods in medicine. Volume 2012(2012)
- Journal:
- Computational and mathematical methods in medicine
- Issue:
- Volume 2012(2012)
- Issue Display:
- Volume 2012, Issue 2012 (2012)
- Year:
- 2012
- Volume:
- 2012
- Issue:
- 2012
- Issue Sort Value:
- 2012-2012-2012-0000
- Page Start:
- Page End:
- Publication Date:
- 2012-03-01
- Subjects:
- Medicine -- Computer simulation -- Periodicals
Medicine -- Mathematical models -- Periodicals
610.11 - Journal URLs:
- https://www.hindawi.com/journals/cmmm/ ↗
- DOI:
- 10.1155/2012/232071 ↗
- Languages:
- English
- ISSNs:
- 1748-670X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3390.573000
British Library HMNTS - ELD Digital store - Ingest File:
- 17537.xml