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    贾鹏

    • 教授 博士生导师 硕士生导师
    • 主要任职:空间全生命周期健康国际研究中心(ISLE)主任
    • 性别:男
    • 所在单位:资源与环境科学学院
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    研究领域

    空间全生命周期流行病学(Spatial Lifecourse Epidemiology):健康地理学和空间流行病学在新信息技术、人工智能、大数据时代的新发展,结合先进的地理科学、电子信息、测绘遥感、可穿戴设备、移动定位、卫生统计、大数据、人工智能、系统仿真、虚拟现实等技术,通过对真实世界个体暴露史的精准回顾、测量及模拟,并与个体长期健康随访数据相结合,以实现对疾病发生和流行规律及其危险因素的精细化分析,从而对个体全生命周期健康实施精准管理。


    课题组正在接收全国优秀应届本科免推生、跨专业考生、考博生报名(2023年秋季入学)!


    部分课题组论文成果(*通讯作者):

    一、空间全生命周期流行病学

    1.     P. Jia*, et al. (2020). Spatial lifecourse epidemiology and infectious disease research, Trends in Parasitology 36(3): 235-238   (IF=9.0)

    2.     P. Jia*, et al. (2020). Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement, Health & Place 61: 102243   (IF=4.1)

    3.     P. Jia*, et al. (2019). Top 10 research priorities in spatial lifecourse epidemiology, Environmental Health Perspectives 127(7): 1-7   (IF=9.0)

    4.     P. Jia* (2019). Spatial lifecourse epidemiology, Lancet Planetary Health 3(2): e57-e59   (IF=19.2)

     

    二、行为、环境与健康

    1.     S. Yang, X. Liang, Q. Dou, Y. La, J. Cai, J. Yang, C. Laba, Q. Liu, B. Guo, W. Yu, Q. Wang, G. Chen, F. Hong, P. Jia*, X. Zhao (2022). Ethnic disparities in the association between ambient air pollution and risk for cardiometabolic abnormalities in ChinaScience of the Total Environment 838 (1): 155940   (IF=8.0)

    2.     Q. Wang, Z. Duoji, C. Feng, T. Fei, H. Ma, S. Wang, W. Ciren, T. Yang, H. Ling, B. Ma, W. Yu, H. Liu, J. Zhou, X. Zhao, P. Jia*, S. Yang (2022). Associations and pathways between residential greenness and hyperuricemia among adults in rural and urban China, Environmental Research 215: 114406   (IF=8.4)

    3.     L. Zhao, D. Shek, K. Zou, Y. Lei, P. Jia* (2021). Cohort Profile: Chengdu Positive Child Development (CPCD) surveyInternational Journal of Epidemiology   (IF=7.2)

    4.     P. Jia* (2021). Obesogenic environment and childhood obesityObesity Reviews 22(S1): e13158   (IF=9.2)

    5.     P. Jia* (2021). A changed research landscape of youth’s obesogenic behaviors and environments due to COVID-19Obesity Reviews 22(S1): e13162   (IF=9.2)

    6.     P. Jia*, et al. (2021). Natural environment and childhood obesity: a systematic reviewObesity Reviews 22(S1): e13097   (IF=9.2)

    7.     P. Jia*et al. (2021). Green space access in the neighbourhood and childhood obesityObesity Reviews 22(S1): e13100   (IF=9.2)

    8.     P. Jia*et al. (2021). Fast-food restaurant, unhealthy eating, and childhood obesity: A systematic review and meta-analysisObesity Reviews 22(S1): e12944   (IF=9.2)

    9.     P. Jia*, et al. (2021). Street connectivity, physical activity, and childhood obesity: A systematic review and meta-analysisObesity Reviews 22(S1): e12943   (IF=9.2)

    10.     S. Yang, X. Chen, L. Wang, T. Wu, T. Fei, Q. Xiao, G. Zhang, Y. Ning, P. Jia* (2021). Walkability indices and childhood obesity: A review of epidemiologic evidenceObesity Reviews 22(S1): e13096   (IF=9.2)

    11.     Q. Zhou, L. Zhao, L. Zhang, Q. Xiao, T. Wu, T. Visscher, J. Zhao, J. Xin, X. Yu, H. Xue, H. Li, J. PanP. Jia* (2021). Neighborhood supermarket access and childhood obesity: A systematic reviewObesity Reviews 22(S1): e12937   (IF=9.2)

    12.     A. Hernandez, P. Jia*, H. Kim, D. Cuadros (2020). Geographic Variation and Associated Covariates of Diabetes Prevalence in IndiaJAMA Network Open 3(5): e203865   (IF=8.5)

    13.     X. Zhang, M. Zhang, Z. Zhao, Z. Huang, Q. Deng, Y. Li, A. Pan, C. Li, Z. Chen, M. Zhou, C. Yu, A. Stein, P. Jia*, L. Wang (2020). Geographic variation in prevalence of adult obesity in China: results from the 2013-2014 national Chronic Disease and Risk Factor SurveillanceAnnals of Internal Medicine 172(4): 291-293   (IF=25.4)

    14.     P. Jia*, H. Xue, X. Cheng, Y. Wang (2019). Effects of school neighborhood food environments on childhood obesity at multiple scales: a longitudinal kindergarten cohort study in the USBMC Medicine 17: 99   (IF=8.8)

    15.     P. Jia*, H. Xue, X. Cheng, Y. Wang, Y. Wang (2019). Association of neighborhood built environments with childhood obesity: evidence from a 9-year longitudinal, nationally representative dataset in the USEnvironment International 128: 158-164   (IF=9.6)

    16.     P. Jia*, et al. (2019). Spatial technologies in obesity research: current applications and future promiseTrends in Endocrinology and Metabolism 30(3): 211-223   (IF=12.0)

    17.  P. Jia, et al. (2019). Opportunities and challenges of using big data for global healthScience Bulletin 64(22): 1652-1654   (IF=11.8)

    18.  P. Jia*, Y. Wang (2019). Global health efforts and opportunities related to the Belt and Road InitiativeLancet Global Health 7(6): e703-e705   (IF=26.8)

    19.  P. Jia*, et al. (2019). Earth observation: investigating non-communicable diseases from spaceAnnual Review of Public Health 40: 85-104   (IF=22.0)

    20.  X. Zhang, M. Zhang, Z. Zhao, Z. Huang, Q. Deng, Y. Li, A. Pan, C. Li, Z. Chen, M. Zhou, C. Yu, A. Stein, P. Jia*, L. Wang (2019). Obesogenic environmental factors of adult obesity in China: a nationally representative cross-sectional studyEnvironmental Research Letters 15(4): 044009   (IF=6.8)

    21.  Y. Hu, Y. Zhang, D. Lamb, M. Zhang, P. Jia* (2019). Examining and optimizing the BCycle bike-sharing system in the US – a pilot study in Boulder, ColoradoApplied Energy 247: 1-12   (IF=9.7)

    22.  P. Jia, X. Cheng, H. Xue, Y. Wang (2017). Applications of geographic information systems data and methods in obesity related researchObesity Reviews 18(4): 400-411   (IF=9.2)

    23.  P. Jia, et al. (2017). School environment and policies, child eating behavior and overweight/obesity in urban China: the Childhood Obesity study in China Mega-citiesInternational Journal of Obesity 41(5): 813-819   (IF=5.1)

    23.  P. Jia*, A. Stein (2017). Using remote sensing technology to measure environmental determinants of non-communicable diseasesInternational Journal of Epidemiology 46(4): 1343-1344   (IF=7.2)


    三、新冠疫情研究

    1.     P. Jia* (2020). Understanding the epidemic course in order to improve epidemic forecasting, GeoHealth 4(10): e2020GH000303   (IF=4.5)

    2.     P. Jia*, S. Dai, T. Wu, S. Yang. New approaches to anticipate the risk of reverse zoonosis, Trends in Ecology & Evolution   (IF=17.7)

    3.     P. Jia*, et al. (2020). Impact of COVID-19 lockdown on activity patterns and weight status among youths in China: The COVID-19 impact on lifestyle change survey (COINLICS), International Journal of Obesity   (IF=5.1)

    4.     P. Jia*, et al. (2021). Changes in dietary patterns among youths in China during COVID-19 epidemic: The COVID-19 impact on lifestyle change survey (COINLICS), Appetite 158: 105015   (IF=3.9)

    5.     P. Jia*, S. Yang (2020). Time to spatialize epidemiology in China, Lancet Global Health 8(6): e764-e765   (IF=26.8)

    6.     P. Jia*, S. Yang (2020). China needs a national intelligent syndromic surveillance system, Nature Medicine 26(6): 990   (IF=53.4)

    7.     P. Jia*, S. Yang (2020). Early warning of epidemics: towards a national intelligent syndromic surveillance system (NISSS) in China, BMJ Global Health 5: e002925   (IF=5.6)

    8.     P. Jia*, S. Yang (2020). Are we ready for a new era of high-impact and high-frequency epidemics?, Nature 580(7803): 321   (IF=50.0)

    9.     S. Yang, C. Yu, P. Jia* (2021). Spatiobehavioral characteristics – defining the epidemiology of new contagious diseases at the earliest moment possible, Trends in Parasitology   (IF=9.0)

    10.  S. Yang, W. Yu, P. Jia* (2020). Telemedicine: a promising approach for diabetes management - where is the evidence?, Journal of Diabetes and Its Complications   (IF=2.9)

    11.  N. Zhang, S. Yang, P. Jia*. Cultivating resilience during the COVID-19 pandemic: a socioecological perspective, Annual Review of Psychology   (IF=24.1)

    12.  K. Zhou, S. Yang, P. Jia* (2020). Towards precision management of cardiovascular patients with COVID-19 to lower their mortality risk, Progress in Cardiovascular Diseases 63(4): 529-530   (IF=8.2)

    13.  W. Yu, K. Rohli, S. Yang, P. Jia* (2020). Impact of obesity on COVID-19 patients, Journal of Diabetes and Its Complications   (IF=2.9)

    14.  Y. Yin, K. Rohli, P. Shen, H. Lu, Y. Liu, Q. Dou, L. Zhang, X. Kong, S. Yang, P. Jia* (2020). The epidemiology, pathophysiological mechanisms, and management toward COVID-19 patients with Type 2 diabetes: a systematic review, Primary Care Diabetes   (IF=2.5)

    15.  S. Yang, S. Dai, Y. Huang, P. Jia* (2020). Pitfalls in modeling asymptomatic COVID-19 infection, Frontiers in Public Health   (IF=3.7)

    17.  S. Yang, X. Pan, D. Yuan, P. Zeng, P. Jia* (2020). Spatial technologies to strengthen traditional testing for SARS-CoV-2, Trends in Microbiology   (IF=17.1)

    18.  Q. Dou, X. Wei, K. Zhou, S. Yang, P. Jia* (2020). Cardiovascular manifestations and their mechanisms in patients with COVID-19, Trends in Endocrinology and Metabolism 31(12): 893-904   (IF=12.0)

    19.  D. Yuan, W. Gao, S. Liang, S. Yang, P. Jia*. Biosafety threats of the rapidly established labs for SARS-CoV-2 tests in China, Environment International 143: 105964   (IF=9.6)

    20.  J. Zhou, X. Xie, B. Guo, R. Pei, X. Pei, S. Yang, P. Jia* (2020). Impact of COVID-19 lockdown on physical activity among the Chinese youths: the COVID-19 Impact on Lifestyle Change Survey (COINLICS), Frontiers in Public Health   (IF=3.7)

    21.  M. Luo, D. Zhang, P. Shen, Y. Yin, S. Yang, P. Jia* (2020). COVID-19 lockdown and social capital changes among youths in China, International Journal of Health Policy and Management   (IF=5.0)

    22.  M. Luo, Q. Wang, S. Yang, P. Jia* (2021). Changes in patterns of take-away food ordering among youths before and after COVID-19 lockdown in China: COVID-19 Impact on Lifestyle Change Survey (COINLICS), European Journal of Nutrition   (IF=5.6)

    23.  Y. Huang, S. Yang, Y. Zou, J. Su, C. Wu, B. Zhong, P. Jia* (2020). Spatiotemporal epidemiology of COVID-19 from an epidemic course perspective, Geospatial Health   (IF=1.2)

    24.  Z. Su, D. McDonnell, B. Bentley, J. He, F. Shi, A. Cheshmehzangi, J. Ahmad, P. Jia* (2021). Addressing Biodisaster X threats with artificial intelligence and 6G technologies, Journal of Medical Internet Research   (IF=5.4)

     

    四、气候变化、生态与传染病

    1.     P. Jia*, T. Wang, A. van Vliet, A. Skidmore, M. van Aalst. Worsening of tree-related public health issues under climate change, Nature Plants 6(2): 48   (IF=15.6)

    2.     Z. Zhan, W. Dong, Y. Lu, P. Yang, Q. Wang, P. Jia (2019). Real-time forecasting of hand, foot, and mouth disease outbreaks using the compartment model and assimilation filtering, Scientific Reports 9: 2661   (IF=4.4)

    3.     J. Yang, Q. Cheng, H. Zhang, K. Chan, Z. Sun, Y. Zhao, N. Cong, X. Li, W. Zhang, Y. Bai, J. Bi, W. Cai, E. Chan, W. Chen, W. Fan, H. Fu, J. He, H. Huang, J. Ji, P. Jia, X. Jiang, J. Siri, M. Kwan, T. Li, Y. Lu, Y. Luo, X. Ma, J. Remais, B. Schwartländer, Z. Shen, P. Shi, J. Su, T. Wu, C. Yang, Y. Yin, Q. Zhang, Y. Zhang, Y. Zhang, B. Xu, P. Gong (2018). The Tsinghua–Lancet Commission on Healthy Cities in China: unlocking the power of cities for a healthy China, The Lancet 391(10135): 2140-2184   (IF=79.3)

    4.     J. Wang, P. Jia*, et al. (2017). A remote sensing data based artificial neural network approach for predicting climate-sensitive infectious disease outbreaks: a case study of human brucellosis, Remote Sensing 9(10): 1018   (IF=4.8)

    5.     A.J. Tatem, P. Jia, et al. (2017). The geography of imported malaria to non-endemic countries: a meta-analysis of nationally reported statistics, Lancet Infectious Diseases 17(1): 98-107   (IF=25.1)

    6.     M. Xu, C. Cao, Q. Li, P. Jia, J. Zhao (2016). Ecological niche modeling of risk factors for H7N9 human infection in China, International Journal of Environmental Research and Public Health 13(6): 600   (IF=3.4)

    7.     P. Jia, O. Sankoh, A.J. Tatem (2015). Mapping the environmental and economic coverage of the INDEPTH international health and demographic surveillance system network, Health & Place 36: 88-96   (IF=4.1)

    8.     P. Jia*, T.A. Joyner (2015). Human Brucellosis occurrences in Inner Mongolia, China: a spatio-temporal distribution and ecological niche modeling approach, BMC Infectious Diseases 15(1): 36   (IF=3.1)

    9.     J. Han, P. Jia, et al. (2020). Association between social capital and mental health among older people living with HIV: the Sichuan Older HIV-Infected Cohort Study (SOHICS), BMC Public Health 20: 581   (IF=3.3)

     

    五、精细化人口分布建模

    1.     T. Ye, N. Zhao, X. Yang, Z. Ouyang, X. Liu, Q. Chen, K. Hu, W. Yue, J. Qi, Z. Li, P. Jia (2019). Improved population mapping for China using remotely sensed and points-of-interest data within a random forests model, Science of the Total Environment 658: 936-946   (IF=8.0)

    2.     P. Jia*, A.E. Gaughan (2016). Dasymetric modeling: a hybrid approach using land cover and tax parcel data for mapping population in Alachua County, Florida, Applied Geography 66: 100-108   (IF=4.2)

    3.     A.J. Tatem, A.E. Gaughan, F.R. Stevens, N.N. Patel, P. Jia, A. Pandey, C. Linard (2013). Quantifying the effects of using detailed spatial demographic data on health metrics: a systematic analysis for the AfriPop, AsiaPop, and AmeriPop projects, The Lancet 381: S142    (IF=79.3)

     

    六、分级诊疗、医疗可及性规划

    1.     P. Jia*, Y. Wang, M. Yang, L. Wang, X. Yang, X. Shi, L. Yang, J. Wen, Y. Liu, M. Yang, J. Xin, F. Zhang, L. Jiang, C. Chi, L. Zhang, X. Ma, X. Ma, L. Zhao, W. Li (2022). Inequalities of spatial primary healthcare accessibility in China, Social Science & Medicine   (IF=5.4)

    2.     P. Jia*, F. Wang, I. Xierali (2019). Differential effects of distance decay on hospital inpatient visits among subpopulations in Florida, Environmental Monitoring and Assessment 191(Suppl 2): 381   (IF=2.5)

    3.     P. Jia*, X. Shi, I. Xierali (2019). Teaming up census and patient data to delineate fine-scale hospital service areas and identify geographic disparities in hospital accessibility, Environmental Monitoring and Assessment 191(Suppl 2): 303   (IF=2.5)

    4.     P. Jia*, F. Wang, I. Xierali (2017). Using a Huff-based model to delineate hospital service areas, AAG Professional Geographer 69(4): 522-530   (IF=2.4)

    5.     P. Jia, F. Wang, I. Xierali (2017). Delineating hierarchical hospital service areas in Florida, Geographical Review 107(4): 608-623   (IF=1.6)

    6.     P. Jia* (2016). Developing an efficient flow-based algorithm to delineate hospital service areas, Applied Geography 75: 137-143   (IF=4.2)

    7.     P. Jia*, I. Xierali (2015). Disparities in healthcare travel patterns of the inpatients diagnosed with congestive heart failure in Florida, Preventing Chronic Disease 12: E150   (IF=2.8)

    8.     P. Jia, I. Xierali, F. Wang (2015). Evaluating and re-demarcating the hospital service areas in Florida, Applied Geography 60: 248-253   (IF=4.2)

     

    七、空间技术与统计方法应用

    1.     A. Madhu, A. Kimar, P. Jia* (2021). Exploring Fuzzy local spatial information algorithms for remote sensing image classification, Remote Sensing   (IF=4.8)

    2.     F. Li, X. Liu, S. Liao, P. Jia* (2021). The Modified Normalized Urban Area Composite Index: a satellite-based high-resolution index for extracting urban areas, Remote Sensing 13(12): 2350   (IF=4.8)

    3.     P. Jia* (2018). Integrating kindergartener-specific questionnaires with citizen science to improve child health, Frontiers in Public Health 6: 236   (IF=3.7)