TY - JOUR
T1 - A method for assessing the fairness of health resource allocation based on geographical grid
AU - Han, Jin
AU - Jiang, Wenhao
AU - Shi, Jin
AU - Xin, Sun
AU - Peng, Jin
AU - Liu, Haibo
PY - 2020/6/10
Y1 - 2020/6/10
N2 - The assessment of the fairness of health resource allocation is an important part of the study for the fairness of social development. The data used in most of the existing assessment methods comes from statistical yearbooks or field survey sampling. These statistics are generally based on administrative areas and are difficult to support a fine-grained evaluation model. In response to these problems, the evaluation method proposed in this paper is based on the query statistics of the geographic grid of the target area, which are more accurate and efficient. Based on the query statistics of hot words in the geographic grids, this paper adopts the maximum likelihood estimation method to estimate the population in the grid region. Then, according to the statistical yearbook data of Hunan province, the estimated number and actual number of hospitals in each grid are analyzed and compared to measure the fairness of health resource allocation in the target region. Experiments show that the geographical grid population assessment based on hot words is more accurate and close to the actual value. The estimated average error is only about 17.8 percent. This method can assess the fairness of health resource allocation in any scale, and is innovative in data acquisition and evaluation methods.
AB - The assessment of the fairness of health resource allocation is an important part of the study for the fairness of social development. The data used in most of the existing assessment methods comes from statistical yearbooks or field survey sampling. These statistics are generally based on administrative areas and are difficult to support a fine-grained evaluation model. In response to these problems, the evaluation method proposed in this paper is based on the query statistics of the geographic grid of the target area, which are more accurate and efficient. Based on the query statistics of hot words in the geographic grids, this paper adopts the maximum likelihood estimation method to estimate the population in the grid region. Then, according to the statistical yearbook data of Hunan province, the estimated number and actual number of hospitals in each grid are analyzed and compared to measure the fairness of health resource allocation in the target region. Experiments show that the geographical grid population assessment based on hot words is more accurate and close to the actual value. The estimated average error is only about 17.8 percent. This method can assess the fairness of health resource allocation in any scale, and is innovative in data acquisition and evaluation methods.
KW - Fairness assessment
KW - Geographical grid
KW - Health resource allocation
KW - Hot words
UR - http://www.scopus.com/inward/record.url?scp=85091067032&partnerID=8YFLogxK
U2 - 10.32604/CMC.2019.07447
DO - 10.32604/CMC.2019.07447
M3 - Article
AN - SCOPUS:85091067032
SN - 1546-2218
VL - 64
SP - 1171
EP - 1184
JO - Computers, Materials and Continua
JF - Computers, Materials and Continua
IS - 2
ER -