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| 1 | Expenditure of hospital care on cancer in China, from 2011 to 2015显示文摘Objective: A solid understanding of levels and trends of spending on cancer is important to evaluate whether our healthcare resources were wisely spent and to prioritize future resources for cancer treatment and prevention.However, studies on economic burden of cancers in China are scant and the results are inconsistent.Methods: The Chinese hospital information database and nearly 350 million inpatient medical record data were used. As the ratios of cancer inpatient payments to total inpatient payments were mainly influenced by the grades and sites of hospitals, the estimates of payments of cancer inpatients in this study were stratified by hospital grades and provinces. Only the payments of cancer inpatients happened in grade 2, grade 3 and specialized cancer hospitals were included in the analyses. The total medical payments of cancers in China were estimated based on the ratios of outpatient payments to inpatient payments in specialized cancer hospitals.Results: From 2011 to 2015, the payments of cancer inpatients in China have increased by 84.1% and the total inpatient payments reached 177.1 billion RMB in 2015, accounting for 4.3% of the total health expenditure in China. Based on the ratio of outpatient payments to inpatient payments, the total payments on cancer treatments in China were estimated to be 221.4 billion RMB in 2015. Among different cancer types, the highest payments were the treatment of trachea, bronchus and lung cancer. The major cancer inpatient payments(67.1% in 2015) spent in grade 3 general hospitals and this ratio increased continually from 2011 to 2015. The expenditure of cancer treatments also varies by region with the major expenditure in the eastern region of China.Conclusions: This study estimated the total payments of cancer treatments in China and analyzed how the money was spent on cancer treatments in the recent 5 years, which would provide information for decision makings on the allocation of resources to service provisioning, prevention strategies, research funding, and assessing whether the economic burden of cancer is affordable to the governments. | Yue Cai Ming Xue Wanqing Chen Maogui Hu Zhiwen Miao Lan Lan Rongshou Zheng Qun Meng | 2017 | Chinese Journal of Cancer Research2017，29，3： | 81 |
| 2 | Estimation of daily PM2.5 concentration and its relationship with meteorological conditions in Beijing显示文摘When investigating the impact of air pollution on health, particulate matter less than 2.5 μm in aerodynamic diameter(PM_(2.5)) is considered more harmful than particulates of other sizes. Therefore, studies of PM_(2.5) have attracted more attention. Beijing, the capital of China,is notorious for its serious air pollution problem, an issue which has been of great concern to the residents, government, and related institutes for decades. However, in China,significantly less time has been devoted to observing PM_(2.5) than for PM_(10). Especially before 2013, the density of the PM_(2.5) ground observation network was relatively low, and the distribution of observation stations was uneven. One solution is to estimate PM_(2.5) concentrations from the existing data on PM_(10). In the present study, by analyzing the relationship between the concentrations of PM_(2.5) and PM_(10), and the meteorological conditions for each season in Beijing from 2008 to 2014, a U-shaped relationship was found between the daily maximum wind speed and the daily PM concentration, including both PM_(2.5) and PM_(10). That is, the relationship between wind speed and PM concentration is not a simple positive or negative correlation in these wind directions; their relationship has a complex effect, with higher PM at low and high wind than for moderate winds.Additionally, in contrast to previous studies, we found that the PM_(2.5)/PM_(10) ratio is proportional to the mean relative humidity(MRH). According to this relationship, for each season we established a multiple nonlinear regression(MNLR) model to estimate the PM_(2.5) concentrations of the missing periods. | Qian Yin Jinfeng Wang Maogui Hu Hoting Wong | 2016 | Journal of Environmental Sciences2016，28，10： | 11 |
| 3 | Captive Breeding of the Four-eyed Turtle(Sacalia quadriocellata)显示文摘In 1998,a study on forty-five four-eyed turtles(Sacalia quadriocellata) was initiated to gather preliminary biological data of this species and to investigate the feasibility of its captive reproduction.In the following six years,no courtship behavior was found occurring in males and no oviposition in females.From 2004 to 2007,two successful techniques were applied to initiate reproductive behavior:1) injecting exogenous reproductive hormones;and 2) reducing the stress of living in captivity.As a result of the hormone treatments,courtship behavior and copulation were observed during September and October,2005.However,no courtship displays were seen from the CK males,which were not treated with hormones.Ovulation occurred between December and March,and the correlation was not significant between behavior of ovulation and food intake.Females laid only one clutch of eggs each year,with 2.47 eggs(n=34,range=1–4) at average,and 84 eggs were totally obtained,of which 13 were damaged,52 were infertile and 19 fertile.Of the fertile eggs,nine were hatched with mean incubation period of 105.9 days(n=9,range=89–122 days) at temperature ranging from 24 to 27℃. | HE Bin LIU Yuxiang SHI Haitao ZHANG Jie HU Maogui MA Yonggang FU Lirong HONG Meiling WANG Jichao Fong J.Jonathan Parham F.James | 2010 | Asian Herpetological Research2010，1，2： | 2 |
| 4 | Determinants of the incidence of hand, foot and mouth disease in China using geographi- cally weighted regression models 显示文摘 | Hu Maogui Li Zhongjie Wang Jinfeng | 2012 | PLoS One2012，7，38： | 1 |
| 5 | A spatial sampling optimization package using MSN theory显示文摘 | Hu MaoGui Wang JinFeng | 2011 | Environmental Modelling & Software2011，26，4： | 1 |
| 6 | Spatial estimation of antibiotic residues in surface soils in a typical intensive vegetable cultivation area in China显示文摘 | Xie YunFeng Li XueWen Wang JinFeng Christakos George Hu MaoGui An LiHong Li FaSheng | 2012 | Science of the Total Environment2012，430，： | 1 |
| 7 | Optimization of Shanghai Marine Environmental Monitoring Sites in the Identification of Boundaries of Different Water Quality Grades显示文摘Water quality is critical to ensure that marine resources and the environment are utilized in a sustainable manner. The objective of this study is therefore to investigate the optimum placement of marine environmental monitoring sites to monitor water quality in Shanghai, China. To improve the mapping or estimation accuracy of the areas with different water quality grades, the monitoring sites were fixed in transition bands between areas of different grades rather than in other positions. Following bidirectional optimization method, first, 18 candidate sites were selected by filtering out specific site categories. Second, three of these were, in turn, eliminated because of the rule defined by the changes in the areas of water quality grades and by the standard deviation of the interpolation errors of dissolved inorganic nitrogen(DIN) and phosphate(PO_4-P). Furthermore, indicator kriging was employed to depict the transition bands between different water quality grades whenever new sampling sites were added. The four optimization projects of the newly added sites reveal that, all optimized sites were distributed in the transition bands of different water grades, and at the same time in the areas where the historical sites were sparsely distributed. New sites were also found in the overlap region of different transition bands. Additional sites were especially required in these regions to discriminate the boundaries of different water quality grades. Using the bidirectional optimization method of the monitoring sites, the boundaries of different water quality grades could be determined with a higher precision. As a result, the interpolation errors of DIN and PO_4-P could theoretically decrease. | FAN Haimei GAO Bingbo WANG Jinfeng QIN Xiaoguang LIU Pengxia HU Maogui XU Peng | 2018 | Journal of Ocean University of China2018，17，4： | 0 |
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