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马越

博士 副教授 硕士研究生导师
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基本情况

四川大学生命科学学院四川大学生物学基地班学士学位;

四川大学华西公共卫生学院卫生统计学硕士学位;

四川大学华西公共卫生学院卫生统计学博士学位;

四川大学华西公共卫生学院卫生统计学博士后。

 

【目前承担课程】

本科生课程:卫生统计学III

研究生课程:公共卫生领域中的时空分析方法及其应用、医学统计学、多元统计分析、自然人群队列研究概论

 

【团队模式及招生需求】

团队包括多位学术积累深厚,专业构成多样,理论基础扎实的资深、青年学者。团队研究目的清晰,在各应用领域均具有自主研发的一系列先进研究方法,具有积极的科研氛围和完善的指导、培养体系,欢迎预防医学、计算科学、应用统计等相关专业同学报考,每一位专心努力的同学都将收获一个更好的自己。

工作经历

2016年至今先后与四川大学华西公共卫生学院流行病与卫生统计系担任助理研究员专职博士后、副研究员;

现任四川大学华西公共卫生学院流行病与卫生统计系副教授,硕士研究生导师。

研究方向(含承担课题)

主要精力集中于统计方法学研究及自主提出的新方法在各领域的应用,主要方法学研究方向包括空间统计学、惩罚回归、机器学习和人工智能算法以及统计模拟。应用领域研究方向包括空间流行病学,大队列流行病学分析,环境健康,临床医学以及生物信息学。

近年来主持多项国家级、省部级课题,近三年以第一/通讯作者发表SCI论文30余篇,累计影响因子超过180,平均影响因子大于5分,被引次数超过500次,其中包括Statistics in Medicine、Biometrics、Spatial Statistics、Statistica Neerlandica等权威统计学期刊上发表的统计理论及方法学研究,在Journal of Cleaner Production、Environmental Pollution、Science of the Total Environment、Chemosphere、Ecotoxicity and Environmental Safety、Journal of Environmental Management等环境科学顶级期刊发表的环境科学研究,Journal of the American Medical Directors等老年医学顶级期刊上发表的老年医学以及Human Reproduction、Acta Biomaterialia等临床、生物顶级期刊发表的临床、基础医学相关研究。

在研项目:

国家自然科学基金面上项目“多区域环境因素复杂暴露反应关系的空间联合估计方法研究”,主持

科研成果

四川省“卫生健康英才计划”中青年骨干人才

2021年四川省高等教育学会社会科学优秀成果一等奖

四川大学华西公共卫生学院/华西第四医院2022年科研先进个人奖

四川大学华西公共卫生学院/华西第四医院2023年综合先进个人奖

著作论文

【主持、主研科研项目情况】

近五年主持科研项目(时间倒序):

国家自然科学基金面上项目“多区域环境因素复杂暴露反应关系的空间联合估计方法研究”

四川省科技重点研发计划,基于稀疏环境监测数据模式识别的空间-环境-人群多层次大气污染物集中水平估计关键技术研究

国家自然科学基金,基于高阶空间模式的空气污染归因风险评估的暴露估计方法研究

成都市科技重点研发支撑计划技术创新研发项目,复杂空间模式下环境健康危险因素的暴露估计关键技术研究

四川省科技重点研发计划,“四川盆地复合大气污染复杂空间模式的数据驱动识别关键技术研究及其在大气污染归因风险与疾病负担评估中的应用”

四川省科技重点研发计划,基于遗传风险随机模型的捐精志愿者最大致孕数设置研究

四川大学专职博士后研发基金,四川盆地复合大气污染复杂空间模式的数据驱动识别关键技术研究

近五年主研项目(时间倒序):

四川省科技重点研发计划,基于“人工智能+医联体”模式的高血压脑出血手术决策支持系统的研发与应用

四川省科技重点研发计划,精准医学健康大型人群队列构建关键技术及其在四川民族地区应用

国家自然科学基金面上项目,面向多源时态数据的异化子空间挖掘研究

四川省科技重点研发计划,盆地特殊自然环境下基于大气污染水平及归因健康风险估计构建大气污染的自然-人群多层次评估体系研究

四川省科技重点研发计划,新型凋亡受体激动剂的构建及其在肺癌治疗中的应用基础研究

国家自然科学基金面上项目,手足口病流行规律的贝叶斯多水平时空建模关键技术研究

国家自然科学基金面上项目,符合我国肝移植受者特征的预后风险评估系统研究:建模关键方法优选与多阶段模式识别模型构建

国家自然科学基金青年科学基金项目,基于传染病监测数据的潜变量非线性多元时间序列模型研究

国家重点研发计划,西南区域队列研究网络协作机制及跨平台大数据整合分析方法研究

 

【近五年一作/通讯发表论著】

1.Wang W., Zeng J., Li X. L., Liao F., Zhang T., Yin F., Deng Y., Ma Y. Using a novel strategy to identify the clustered regions of associations between short-term exposure to temperature and mortality and evaluate the inequality of heat- and cold-attributable burdens: A case study in the Sichuan Basin, China. Journal of Environmental Management. 2024;349:10.

2.Cai W. N., Luo C. Y., Geng X. R., Zha Y. Y., Zhang T., Zhang H. D., Yang C. H., Yin F., Ma Y., Shui T. J. City-level meteorological conditions modify the relationships between exposure to multiple air pollutants and the risk of pediatric hand, foot, and mouth disease in the Sichuan Basin, China. Frontiers in Public Health. 2023;11:9.

3.Geng X. R., Ma Y., Cai W. N., Zha Y. Y., Zhang T., Zhang H. D., Yang C. H., Yin F., Shui T. J. Evaluation of models for multi-step forecasting of hand, foot and mouth disease using multi-input multi-output: A case study of Chengdu, China. Plos Neglected Tropical Diseases. 2023;17(9):19.

4.Huang J. F., Li X. L., Zhang Y., Zhai S. W., Wang W., Zhang T., Yin F., Ma Y. Socio-demographic characteristics and inequality in exposure to PM2.5: A case study in the Sichuan basin, China. Environmental Pollution. 2023;316:10.

5.Jiang X. H., Ma Y., Lv Q., Liu Y. Q., Zhang T., Yin F., Shui T. J. Influence of social and meteorological factors on hand, foot, and mouth disease in Sichuan Province. Bmc Public Health. 2023;23(1):14.

6.Li S., Wang W., Yao M. H., Wang J. Y., Du Q. Q., Li X. L., Tian X. Y., Zeng J., Deng Y., Zhang T., Yin F., Ma Y. Poisson average maximum likelihood-centered penalized estimator: A new estimator to better address multicollinearity in Poisson regression. Statistica Neerlandica. 2023:20.

7.Qian J., Luo C. Y., Lv Q., Liu Y. Q., Zhang T., Yin F., Ma Y., Shui T. J. Associations between ambient air pollutants and childhood hand, foot, and mouth disease in Sichuan, China: a spatiotemporal study. Scientific Reports. 2023;13(1):11.

8.Tian X. Y., Zeng J., Li X. L., Li S., Zhang T., Deng Y., Yin F., Ma Y. Assessing the short-term effects of PM2.5and O3on cardiovascular mortality using high-resolution exposure: a time-stratified case cross-over study in Southwestern China. Environmental Science and Pollution Research. 2023:11.

9.Wang W., Li S., Zhang T., Yin F., Ma Y. Detecting the spatial clustering of exposure-response relationships with estimation error: a novel spatial scan statistic. Biometrics. 2023:11.

10.Wang W., Liao F., Yin F., Ma Y. Mapping the short-term exposure-response relationships between environmental factors and health outcomes and identifying the causes of heterogeneity: A multivariate-conditional- meta-autoregression-based two-stage strategy. Spatial Statistics. 2023;53:18.

11.Wang W., Zeng J., Li X. L., Liao F., Li S., Tian X. Y., Yin F., Zhang T., Deng Y., Ma Y. Using a novel strategy to investigate the spatially autocorrelated and clustered associations between short-term exposure to PM2.5 and mortality and the attributable burden: A case study in the Sichuan Basin, China. Ecotoxicology and Environmental Safety. 2023;264:10.

12.Zhai S. W., Zeng J., Zhang Y., Huang J. F., Li X. L., Wang W., Zhang T., Deng Y., Yin F., Ma Y. Combined health effects of PM2.5 components on respiratory mortality in short-term exposure using BKMR: A case study in Sichuan, China. Science of the Total Environment. 2023;897:11.

13.Zhai S. W., Zhang Y., Huang J. F., Li X. L., Wang W., Zhang T., Yin F., Ma Y. Exploring the detailed spatiotemporal characteristics of PM2.5: Generating a full-coverage and hourly PM2.5 dataset in the Sichuan Basin, China. Chemosphere. 2023;310:10.

14.Hao Y., Zeng Z., Peng X., Ai P., Han Q., Ren B., Li M. Y., Wang H. H., Zhou X. X., Zhou X. D., Ma Y., Cheng L. The human oral - nasopharynx microbiome as a risk screening tool for nasopharyngeal carcinoma. Frontiers in Cellular and Infection Microbiology. 2022;12:11.

15.Huang J. Q., Ma Y., Lv Q., Liu Y. Q., Zhang T., Yin F., Shui T. J. Interactive effects of meteorological factors and air pollutants on hand, foot, and mouth disease in Chengdu, China: a time-series study. Bmj Open. 2022;12(11):9.

16.Li M. Y., Ma Y., Luo C. Y., Lv Q., Liu Y. Q., Zhang T., Yin F., Shui T. J. Modification effects of socioeconomic factors on associations between air pollutants and hand, foot, and mouth disease: A multicity time-series study based on heavily polluted areas in the basin area of Sichuan Province, China. Plos Neglected Tropical Diseases. 2022;16(11):16.

17.Liu Y., Bo R., Zhao X. D., Ma Y. Sex differences in short- and mid-term survival of femoral neck fracture in patients aged over 90 years: A retrospective cohort study. Asian Journal of Surgery. 2022;45(12):2633-2638.

18.Luo C. Y., Qian J., Liu Y. Q., Lv Q., Ma Y., Yin F. Long-term air pollution levels modify the relationships between short-term exposure to meteorological factors, air pollution and the incidence of hand, foot and mouth disease in children: a DLNM-based multicity time series study in Sichuan Province, China. Bmc Public Health. 2022;22(1):13.

19.Peng D., Qian J., Wei L. Y., Luo C. Y., Zhang T., Zhou L. J., Liu Y. Y., Ma Y., Yin F. COVID-19 distributes socially in China: A Bayesian spatial analysis. Plos One. 2022;17(4):11.

20.Wang W., Li L. J., Li S., Yin F., Liao F., Zhang T., Li X. S., Xiao X., Ma Y. Average ordinary least squares-centered penalized regression: A more efficient way to address multicollinearity than ridge regression. Statistica Neerlandica. 2022;76(3):347-368.

21.Wang W., Xiao X., Qian J., Chen S. Q., Liao F., Yin F., Zhang T., Li X. S., Ma Y. Reclaiming independence in spatial-clustering datasets: A series of data-driven spatial weights matrices. Statistics in Medicine. 2022;41(15):2939-2956.

22.Zhang Y., Zhai S. W., Huang J. F., Li X. L., Wang W., Zhang T., Yin F., Ma Y. Estimating high-resolution PM2.5 concentration in the Sichuan Basin using a random forest model with data-driven spatial autocorrelation terms. Journal of Cleaner Production. 2022;380:12.

23.Luo C. Y., Ma Y., Jiang P., Zhang T., Yin F. The construction and visualization of the transmission networks for COVID-19: A potential solution for contact tracing and assessments of epidemics. Scientific Reports. 2021;11(1):9.

24.Tao J. W., Ma Y., Luo C. Y., Huang J. Q., Zhang T., Yin F. Summary of the COVID-19 epidemic and estimating the effects of emergency responses in China. Scientific Reports. 2021;11(1):9.

25.Tao J. W., Ma Y., Zhuang X. F., Lv Q., Liu Y. Q., Zhang T., Yin F. How to improve infectious disease prediction by integrating environmental data: an application of a novel ensemble analysis strategy to predict HFMD. Epidemiology and Infection. 2021;149:11.

26.Zhou X. X., Hao Y., Peng X., Li B. L., Han Q., Ren B. A., Li M. Y., Li L. J., Li Y., Cheng G., Li J. Y., Ma Y., Zhou X. D., Cheng L. The Clinical Potential of Oral Microbiota as a Screening Tool for Oral Squamous Cell Carcinomas. Frontiers in Cellular and Infection Microbiology. 2021;11:13.

27.Bo Z. Y., Ma Y., Chang Z. R., Zhang T., Liu F. F., Zhao X., Long L., Yi X. W., Xiao X., Li Z. J. The spatial heterogeneity of the associations between relative humidity and pediatric hand, foot and mouth disease: Evidence from a nation-wide multicity study from mainland China. Science of the Total Environment. 2020;707:9.

28.Luo C. Y., Ma Y., Liu Y. Q., Lv Q., Yin F. The burden of childhood hand-foot-mouth disease morbidity attributable to relative humidity: a multicity study in the Sichuan Basin, China. Scientific Reports. 2020;10(1):10.

29.Peng D., Ma Y., Liu Y. Q., Lv Q., Yin F. Epidemiological and aetiological characteristics of hand, foot, and mouth disease in Sichuan Province, China, 2011-2017. Scientific Reports. 2020;10(1):9.

30.Wang W., Zhang T., Yin F., Xiao X., Chen S. Q., Zhang X. Y., Li X. S., Ma Y. Using the maximum clustering heterogeneous set-proportion to select the maximum window size for the spatial scan statistic. Scientific Reports. 2020;10(1):14.

31.Wu H. L., Ma Y., Peng X., Qiu W., Kong L. X., Ren B., Li M. Y., Cheng G., Zhou X. D., Cheng L. Antibiotic-induced dysbiosis of the rat oral and gut microbiota and resistance to <i>Salmonella</i>. Archives of Oral Biology. 2020;114:10.

32.Yang F., Ma Y., Liu F. F., Zhao X., Fan C. N., Hu Y. F., Hu K. R., Chang Z. R., Xiao X. Short-term effects of rainfall on childhood hand, foot and mouth disease and related spatial heterogeneity: evidence from 143 cities in mainland China. Bmc Public Health. 2020;20(1):11.

33.Zhou W., Peng X., Ma Y., Hu Y., Wu Y., Lan F., Weir M. D., Li M. Y., Ren B., Oates T. W., Xu H. H. K., Zhou X. D., Cheng L. Two-staged time-dependent materials for the prevention of implant-related infections. Acta Biomaterialia. 2020;101:128-140.

34.Ma Y., Li F. P., Wang L., Zhao W. R., Li D. M., Xian Y., Jiang X. H. A risk prediction model of sperm retrieval failure with fine needle aspiration in males with non-obstructive azoospermia. Human Reproduction. 2019;34(2):200-208.

35.Zhang T., Ma Y., Xiao X., Lin Y., Zhang X. Y., Yin F., Li X. S. Dynamic Bayesian network in infectious diseases surveillance: a simulation study. Scientific Reports. 2019;9:12.

 

【参编学术专著】

《时空数据建模及其应用》副主编,四川大学出版社,260千字,2018

《传染病时空聚集性探测与预测预警方法》编者,高等教育出版社,520千字,2014

参编国家级规划教材:

国家十二五本科生规划教材《医学统计学第3版》学术秘书,高等教育出版社

国家十二五本科生规划教材《医学统计学实习指导第3版》编委,高等教育出版社

参编国家十三五研究生规划教材《医学统计学第4版》,人民卫生出版社

参编国家十三五研究生规划教材《卫生统计学第8版》,人民卫生出版社

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