@Article{cmc.2019.07447,
AUTHOR = {Jin Han, Wenhao Jiang, Jin Shi, Sun Xin, Jin Peng, Haibo Liu},
TITLE = {A Method for Assessing the Fairness of Health Resource Allocation Based on Geographical Grid},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {64},
YEAR = {2020},
NUMBER = {2},
PAGES = {1171--1184},
URL = {http://www.techscience.com/cmc/v64n2/39353},
ISSN = {1546-2226},
ABSTRACT = {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.},
DOI = {10.32604/cmc.2019.07447}
}