许磊，博士，副教授，博士生导师。主要研究方向为重大传染病的数理统计模型，气候变化对人类健康和生态系统的影响等。研究病种包括鼠疫，登革热等。

教育经历：

2012.07 - 2012.09，美国密西根大学公共卫生系，访问学者

2008.08-2009.08，挪威奥斯陆大学生物系生态与进化整合研究中心，访问学者

2005.09 - 2011.06，中国科学院动物研究所，博士

2001.09 - 2005.06，河南师范大学，生命科学学院，学士

工作经历：

2020.12-至今，清华大学，万科公共卫生与健康学院，副教授

2020.6-2020.12，清华大学地球系统科学系，副教授

2019.3-2020.6，中国疾控中心传染病预防控制所流行病室，主任，副研究员

2016.12-2019.3，中国疾控中心传染病预防控制所媒介室，副研究员

2015.03 - 2018.12，挪威奥斯陆大学生物系生态与进化整合研究中心，Researcher

2014.06-2016.12，中国疾控中心传染病所媒介室，博士后

2011.07-2014.07，中国科学院动物研究所，助理研究员

代表性论著：

1. Wang, Y., Zhang, C., Gao, J., Chen, Z., Liu, Z., Huang, J., Chen, Y., Li, Z., Chang, N., Tao, Y., Tang, H., Gao, X., Xu, Y., Wang, C., Li, D., Liu, X., Pan, J., Cai, W., Gong, P., …Xu, L. (2024). Spatiotemporal trends of hemorrhagic fever with renal syndrome (HFRS) in China under climate variation. Proceedings of the National Academy of Sciences, 121(4), e2312556121. https://doi.org/10.1073/pnas.2312556121

2. Stenseth, N. Chr., Bramanti, B., Büntgen, U., Fell, H. G., Cohn, S., Sebbane, F., Slavin, P., Zhang, C., Yang, R., & Xu, L. (2023). Reply to Alfani: Reconstructing past plague ecology to understand human history. Proceedings of the National Academy of Sciences, 120(11), e2300760120. https://doi.org/10.1073/pnas.2300760120

3. Gao, J., Zhou, C., Liang, H., Jiao, R., Wheelock, Å. M., Jiao, K., Ma, J., Zhang, C., Guo, Y., Luo, S., Liang, W., & Xu, L. (2023). Monkeypox outbreaks in the context of the COVID-19 pandemic: Network and clustering analyses of global risks and modified SEIR prediction of epidemic trends. Frontiers in Public Health, 11. https://doi.org/10.3389/fpubh.2023.1052946

4. Gao, J., Zhou, C., Wheelock, Å., Zhang, C., Ma, J., Dong, K., Li, Z., Liang, W., & Xu, L. (2023). The role of booster vaccination in decreasing COVID-19 age-adjusted case fatality rate: Evidence from 32 countries. European Respiratory Journal, 62(suppl 67). https://doi.org/10.1183/13993003.congress-2023.PA5342

5. Guo, Y., Li, Z., Dong, S., Si, X., Ta, N., Liang, H., & Xu, L. (2023). Multiple infections of zoonotic pathogens in wild Brandt’s voles (Lasiopodomys brandtii). Veterinary Medicine and Science. https://doi.org/10.1002/vms3.1214

6. Ji, J. S., Xia, Y., Liu, L., Zhou, W., Chen, R., Dong, G., Hu, Q., Jiang, J., Kan, H., Li, T., Li, Y., Liu, Q., Liu, Y., Long, Y., Lv, Y., Ma, J., Ma, Y., Pelin, K., Shi, X., L. Xu,… Huang, C. (2023). China’s public health initiatives for climate change adaptation. The Lancet Regional Health – Western Pacific, 40. https://doi.org/10.1016/j.lanwpc.2023.100965

7. Lun, X., Yang, R., Lin, L., Wang, Y., Wang, J., Guo, Y., Xiu, P., Zhu, C., Liu, Q., Xu, L., & Meng, F. (2023). Effects of the source of information and knowledge of dengue fever on the mosquito control behavior of residents of border areas of Yunnan, China. Parasites & Vectors, 16(1), 311. https://doi.org/10.1186/s13071-023-05916-9

8. She, W., Gu, J., Holyoak, M., Yan, C., Qi, J., Wan, X., Liu, S., Xu, L., Roberts, N. J., Zhang, Z., & Jiang, G. (2023). Impacts of top predators and humans on the mammal communities of recovering temperate forest regions. Science of the Total Environment, 862, 160812. https://doi.org/10.1016/j.scitotenv.2022.160812

9. Xiao, Y., Zhou, J., Cheng, Q., Yang, J., Chen, B., Zhang, T., Xu, L., Xu, B., Ren, Z., Liu, Z., Shen, C., Wang, C., Liu, H., Li, X., Li, R., Yu, L., Guan, D., Zhang, W., Wang, J., … Gong, P. (2023). Global age-structured spatial modeling for emerging infectious diseases like COVID-19. PNAS Nexus, 2(5), pgad127. https://doi.org/10.1093/pnasnexus/pgad127

10. Xu, L., Wang, Q., Yang, R., Ganbold, D., Tsogbadrakh, N., Dong, K., Liu, M., Altantogtokh, D., Liu, Q., Undrakhbold, S., Boldgiv, B., Liang, W., & Stenseth, N. C. (2023). Climate-driven marmot-plague dynamics in Mongolia and China. Scientific Reports, 13(1), Article 1. https://doi.org/10.1038/s41598-023-38966-1

11. Yang, R., Atkinson, S., Chen, Z., Cui, Y., Du, Z., Han, Y., Sebbane, F., Slavin, P., Song, Y., Yan, Y., Wu, Y., Xu, L., Zhang, C., Zhang, Y., Hinnebusch, B. J., Stenseth, N. C., & Motin, V. L. (2023). Yersinia pestis and Plague: Some Knowns and Unknowns. Zoonoses, 3. https://doi.org/10.15212/ZOONOSES-2022-0040

12. Zhou, C., Wheelock, Å. M., Zhang, C., Ma, J., Dong, K., Pan, J., Li, Z., Liang, W., Gao, J., & Xu, L. (2023). The role of booster vaccination in decreasing COVID-19 age-adjusted case fatality rate: Evidence from 32 countries. Frontiers in Public Health, 11. https://www.frontiersin.org/articles/10.3389/fpubh.2023.1150095

13. Cheng, C., Holyoak, M., Xu, L., Li, J., Liu, W., Stenseth, N. C., & Zhang, Z. (2022). Host and geographic barriers shape the competition, coexistence, and extinction patterns of influenza A (H1N1) viruses. Ecology and Evolution, 12(3), e8732. https://doi.org/10.1002/ece3.8732

14. Li, Z., Gurgel, H., Xu, L., Yang, L., & Dong, J. (2022). Improving Dengue Forecasts by Using Geospatial Big Data Analysis in Google Earth Engine and the Historical Dengue Information-Aided Long Short Term Memory Modeling. Biology-Basel, 11(2), 169. https://doi.org/10.3390/biology11020169

15. Ma, J., Guo, Y., Gao, J., Tang, H., Xu, K., Liu, Q., & Xu, L. (2022). Climate Change Drives the Transmission and Spread of Vector-Borne Diseases: An Ecological Perspective. Biology, 11(11), Article 11. https://doi.org/10.3390/biology11111628

16. Qu, Y., Zheng, Y., Gong, P., Shi, J., Li, L., Wang, S., Luo, C., Zhang, H., & Xu, L. (2022). Estimation of wetland biodiversity based on the hydrological patterns and connectivity and its potential application in change detection and monitoring: A case study of the Sanjiang Plain, China. Science of the Total Environment, 805, 150291. https://doi.org/10.1016/j.scitotenv.2021.150291

17. Stenseth, N. C., Tao, Y., Zhang, C., Bramanti, B., Buntgen, U., Cong, X., Cui, Y., Zhou, H., Dawson, L. A., Mooney, S. J., Li, D., Fell, H. G., Cohn, S., Sebbane, F., Slavin, P., Liang, W., Tong, H., Yang, R., & Xu, L. (2022). No evidence for persistent natural plague reservoirs in historical and modern Europe. Proceedings of the National Academy of Sciences of the United States of  America, 119(51), e2209816119–e2209816119. https://doi.org/10.1073/pnas.2209816119

18. Xu, L., Zhou, C., Luo, S., Chan, D. K., McLaws, M.-L., & Liang, W. (2022). Modernising infectious disease surveillance and an early-warning system: The need for China’s action. The Lancet Regional Health - Western Pacific, 23, 100485. https://doi.org/10.1016/j.lanwpc.2022.100485

19. Zhou, C., Wheelock, Å. M., Zhang, C., Wang, Y., Liang, W., Gao, J., &Xu, L. (2022a). Evaluation and Prediction of COVID-19 Case Fatality Rates from 156 countries. European Respiratory Journal, 60, 4631. https://doi.org/10.1183/13993003.congress-2022.4631

20. Zhou, C., Wheelock, Å., Zhang, C., Wang, Y., Liang, W., Gao, J., &Xu, L. (2022b). Evaluation and Prediction of COVID-19 Case Fatality Rates from 156 countries. European Respiratory Journal, 60(suppl 66). https://doi.org/10.1183/13993003.congress-2022.4631

21. Lun, X., Wang, Y., Zhao, C., Wu, H., Zhu, C., Ma, D., Xu, M., Wang, J., Liu, Q., Xu, L., & Meng, F. (2022). Epidemiological characteristics and temporal-spatial analysis of overseas imported dengue fever cases in outbreak provinces of China, 2005-2019. Infectious Diseases of Poverty, 11(1), 12. https://doi.org/10.1186/s40249-022-00937-5

22. Cai, W., Zhang, C., Suen, H. P., Ai, S., Bai, Y., Bao, J., Chen, B., Cheng, L., Cui, X., Dai, H., Di, Q., Dong, W., Dou, D., Fan, W., Fan, X., Gao, T., Geng, Y., Guan, D., Guo, Y., Xu, L.,… Gong, P. (2021). The 2020 China report of the Lancet Countdown on health and climate change. The Lancet Public Health, 6(1), e64–e81. https://doi.org/10.1016/S2468-2667(20)30256-5

23. Cheng, C., Li, J., Liu, W., Xu, L., & Zhang, Z. (2021). Modeling analysis revealed the distinct global transmission patterns of influenza A viruses and their influencing factors. Integrative Zoology, 16(6), 788–797. https://doi.org/10.1111/1749-4877.12469

24. Mahmoudi, A., Kryštufek, B., Sludsky, A., Schmid, B. V., DE Almeida, A. M. P., Lei, X., Ramasindrazana, B., Bertherat, E., Yeszhanov, A., Stenseth, N. C., & Mostafavi, E. (2021). Plague reservoir species throughout the world. Integrative Zoology, 16(6), 820–833. https://doi.org/10.1111/1749-4877.12511

25. Niu, Y., Li, Z., Gao, Y., Liu, X., Xu, L., Vardoulakis, S., Yue, Y., Wang, J., & Liu, Q. (2021). A Systematic Review of the Development and Validation of the Heat Vulnerability Index: Major Factors, Methods, and Spatial Units. Current Climate Change Reports, 7(3), 87–97. https://doi.org/10.1007/s40641-021-00173-3

26. Tu, T., Xu, K., Xu, L., Gao, Y., Zhou, Y., He, Y., Liu, Y., Liu, Q., Ji, H., & Tang, W. (2021). Association between meteorological factors and the prevalence dynamics of Japanese encephalitis. PLOS ONE, 16(3), e0247980. https://doi.org/10.1371/journal.pone.0247980

27. Li, R., Chen, B., Zhang, T., Ren, Z., Song, Y., Xiao, Y., Hou, L., Cai, J., Xu, B., Li, M., Chan, K. K. Y., Tu, Y., Yang, M., Yang, J., Liu, Z., Shen, C., Wang, C.,Xu, L., Liu, Q., … Xu, B. (2020). Global COVID-19 pandemic demands joint interventions for the suppression of future waves. Proceedings of the National Academy of Sciences, 117(42), 26151–26157. https://doi.org/10.1073/pnas.2012002117

28. Li, Z., Gurgel, H., Dessay, N., Hu, L.,Xu, L., & Gong, P. (2020). Semi-Supervised Text Classification Framework: An Overview of Dengue Landscape Factors and Satellite Earth Observation. International Journal of Environmental Research and Public Health, 17(12), 4509. https://doi.org/10.3390/ijerph17124509

29. Liu, K., Hou, X., Ren, Z., Lowe, R., Wang, Y., Li, R., Liu, X., Sun, J., Lu, L., Song, X., Wu, H., Wang, J., Yao, W., Zhang, C., Sang, S., Gao, Y., Li, J., Li, J.,Xu, L., & Liu, Q. (2020). Climate factors and the East Asian summer monsoon may drive large outbreaks of dengue in China. Environmental Research, 183, 109190. https://doi.org/10.1016/j.envres.2020.109190

30. Marti, R., Li, Z., Catry, T., Roux, E., Mangeas, M., Handschumacher, P., Gaudart, J., Tran, A., Demagistri, L., Faure, J.-F., Carvajal, J. J., Drumond, B.,Xu, L., Herbreteau, V., Gurgel, H., Dessay, N., & Gong, P. (2020). A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires. Remote Sensing, 12(6), 932. https://doi.org/10.3390/rs12060932

31. Sun, Z., Zhang, Z., Liu, Q., Lyu, B., Fang, X., Wang, S., Xu, J.,Xu, L., & Xu, B. (2020). Identifying the spatiotemporal clusters of plague occurrences in China during the Third Pandemic. Integrative Zoology, 15(1), 69–78. https://doi.org/10.1111/1749-4877.12411

32. Xu, J., Xu, K., Li, Z., Meng, F., Tu, T.,Xu, L., & Liu, Q. (2020). Forecast of Dengue Cases in 20 Chinese Cities Based on the Deep Learning Method. International Journal of Environmental Research and Public Health, 17(2), 453. https://doi.org/10.3390/ijerph17020453

33. Sun, Z., Xu, L., Schmid, B. V., Dean, K. R., Zhang, Z., Xie, Y., Fang, X., Wang, S., Liu, Q., Lyu, B., Wan, X., Xu, J., Stenseth, N. C., & Xu, B. (2019). Human plague system associated with rodent diversity and other environmental factors. Royal Society Open Science, 6(6), 190216. https://doi.org/10.1098/rsos.190216

34. Xu, J., Xu, K., Li, Z., Tu, T., Xu, L., & Liu, Q. (2019). Developing a dengue forecast model using Long Short Term Memory neural networks method (p. 760702). bioRxiv. https://doi.org/10.1101/760702

35. Xu, L., Stige, L. C., Leirs, H., Neerinckx, S., Gage, K. L., Yang, R., Liu, Q., Bramanti, B., Dean, K. R., Tang, H., Sun, Z., Stenseth, N. C., & Zhang, Z. (2019). Historical and genomic data reveal the influencing factors on global transmission velocity of plague during the Third Pandemic. Proceedings of the National Academy of Sciences of the United States of America, 116(24), 11833–11838. https://doi.org/10.1073/pnas.1901366116

36. Li, R.,Xu, L., Bjornstad, O. N., Liu, K., Song, T., Chen, A., Xu, B., Liu, Q., & Stenseth, N. C. (2019). Climate-driven variation in mosquito density predicts the spatiotemporal dynamics of dengue. Proceedings of the National Academy of Sciences of the United States of America, 116(9), 3624–3629. https://doi.org/10.1073/pnas.1806094116

37. Li, Z., Feng, Y., Gurgel, H.,Xu, L., Dessay, N., & Gong, P. (2019). Use of spatial autocorrelation and time series Landsat images for long-term monitoring of surface water shrinkage and expansion in Guanting Reservoir, China. Remote Sensing Letters, 10(12), 1192–1200. https://doi.org/10.1080/2150704X.2019.1671634

38. Liu, K., Hou, X., Wang, Y., Sun, J., Xiao, J., Li, R., Lu, L.,Xu, L., Sang, S., Hu, J., Wu, H., Song, X., Zhao, N., Yan, D., Li, J., Liu, X., & Liu, Q. (2019). The driver of dengue fever incidence in two high-risk areas of China: A comparative study. Scientific Reports, 9(1), 19510. https://doi.org/10.1038/s41598-019-56112-8

39. Gao, J., Hou, H., Zhai, Y., Woodward, A., Vardoulakis, S., Kovats, S., Wilkinson, P., Li, L., Song, X., Xu, L., Meng, B., Liu, X., Wang, J., Zhao, J., & Liu, Q. (2018). Greenhouse gas emissions reduction in different economic sectors: Mitigation measures, health co-benefits, knowledge gaps, and policy implications. Environmental Pollution, 240, 683–698. https://doi.org/10.1016/j.envpol.2018.05.011

40. Liu, Q., Xu, W., Lu, S., Jiang, J., Zhou, J., Shao, Z., Liu, X., Xu, L., Xiong, Y., Zheng, H., Jin, S., Jiang, H., Cao, W., & Xu, J. (2018). Landscape of emerging and re-emerging infectious diseases in China: Impact of ecology, climate, and behavior. Frontiers of Medicine, 12(1), 3–22. https://doi.org/10.1007/s11684-017-0605-9

41. Liu, K., Sun, J., Liu, X., Li, R., Wang, Y., Lu, L., Wu, H., Gao, Y., Xu, L., & Liu, Q. (2018). Spatiotemporal patterns and determinants of dengue at county level in China from 2005-2017. International Journal of Infectious Diseases: IJID: Official Publication of the International Society for Infectious Diseases, 77, 96–104. https://doi.org/10.1016/j.ijid.2018.09.003

42. Gao, J., Woodward, A., Vardoulakis, S., Kovats, S., Wilkinson, P., Li, L., Xu, L., Li, J., Yang, J., Li, J., Cao, L., Liu, X., Wu, H., & Liu, Q. (2017). Haze, public health and mitigation measures in China: A review of the current evidence for further policy response. Science of the Total Environment, 578, 148–157. https://doi.org/10.1016/j.scitotenv.2016.10.231

43. Li, J., Woodward, A., Hou, X.-Y., Zhu, T., Zhang, J., Brown, H., Yang, J., Qin, R., Gao, J., Gu, S., Li, J., Xu, L., Liu, X., & Liu, Q. (2017). Modification of the effects of air pollutants on mortality by temperature: A systematic review and meta-analysis. Science of the Total Environment, 575, 1556–1570. https://doi.org/10.1016/j.scitotenv.2016.10.070

44. Tian, H., Yan, C., Xu, L., Buntgen, U., Stenseth, N. C., & Zhang, Z. (2017). Scale-dependent climatic drivers of human epidemics in ancient China. Proceedings of the National Academy of Sciences of the United States of America, 114(49), 12970–12975. https://doi.org/10.1073/pnas.1706470114

45. Tian, H., Yu, P., Cazelles, B., Xu, L., Tan, H., Yang, J., Huang, S., Xu, B., Cai, J., Ma, C., Wei, J., Li, S., Qu, J., Laine, M., Wang, J., Tong, S., Stenseth, N. C., & Xu, B. (2017). Interannual cycles of Hantaan virus outbreaks at the human-animal interface in Central China are controlled by temperature and rainfall. Proceedings of the National Academy of Sciences of the United States of America, 114(30), 8041–8046. https://doi.org/10.1073/pnas.1701777114

46. Xu, L., Stige, L. C., Chan, K.-S., Zhou, J., Yang, J., Sang, S., Wang, M., Yang, Z., Yan, Z., Jiang, T., Lu, L., Yue, Y., Liu, X., Lin, H., Xu, J., Liu, Q., & Stenseth, N. C. (2017). Climate variation drives dengue dynamics. Proceedings of the National Academy of Sciences of the United States of America, 114(1), 113–118. https://doi.org/10.1073/pnas.1618558114

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48. Eads, D. A., Biggins, D. E., Xu, L., & Liu, Q. (2016). Plague cycles in two rodent species from China: Dry years might provide context for epizootics in wet years. Ecosphere, 7(10), e01495. https://doi.org/10.1002/ecs2.1495

49. Yang, J., Yin, P., Zhou, M., Ou, C.-Q., Li, M., Li, J., Liu, X., Gao, J., Liu, Y., Qin, R., Xu, L., Huang, C., & Liu, Q. (2016). The burden of stroke mortality attributable to cold and hot ambient temperatures: Epidemiological evidence from China. Environment International, 92–93, 232–238. https://doi.org/10.1016/j.envint.2016.04.001

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63. 李贵昌, 王玉姣, 岳玉娟, 许磊, 母群征, 赵宁, 鲁亮, 刘起勇, & 李兴洲. (2019). 我国恙虫病夏季型和秋季型疫区划分研究. 中国媒介生物学及控制杂志, 30(03), 233–236.

64. 王玉姣, 闫冬明, 李贵昌, 许磊, 岳玉娟, 王君, 鲁亮, 孙琬琬, 周若冰, 母群征, 刘起勇, & 李兴洲. (2019). 北京市平谷区2008-2018年恙虫病流行特征分析. 中国媒介生物学及控制杂志, 30(03), 244–247.

65. 侯祥, 刘可可, 刘小波, 常罡, 许磊, & 刘起勇. (2019). 气候因素对广东省登革热流行影响的非线性效应. 中国媒介生物学及控制杂志, 30(01), 25–30.

66. 司晓艳, 李元元, 许磊, 王光明, 刘俊, & 李浩. (2019). 1996-2017年呼和浩特市鼠疫流行病学分析. 医学动物防制, 35(05), 479–481.

67. 李静, 罗书全, 丁贤彬, 杨军, 李京, 刘小波, 高景宏, 许磊, 唐文革, & 刘起勇. (2016). 重庆市逐日温度对人群死亡及寿命损失年影响的研究. 中华流行病学杂志, 37(3), 375–380.

68. 许磊, 李贵昌, 司晓艳, 方喜业, & 刘起勇. (2016). 长爪沙鼠鼠疫自然疫源地气候对鼠疫流行影响的非线性效应. 中国媒介生物学及控制杂志, 27(4), 321–325.

69. 许磊, 方喜业, 周冬生, 崔玉军, 叶财德, & 刘起勇. (2015). 中国鼠疫自然疫源地的演化动态及环境生态位的生物学特征. 中国媒介生物学及控制杂志, 26(3), 228–232.

《中国鼠疫自然疫源地》部分

70. 方喜业, 许磊, 刘起勇, & 张荣祖. (20140924). 中国鼠疫自然疫源地分型研究Ⅰ.生态地理景观特征. 中华流行病学杂志, 32(12), 1232–1236.

71. 方喜业, 杨瑞馥, 刘起勇, 董兴齐, 张荣祖, & 许磊. (20140910). 中国鼠疫自然疫源地分型研究II.鼠疫自然疫源地分型方法研究. 中华流行病学杂志, 33(2), 234–238.

72. 方喜业, 周冬生, 崔玉军, 李艳君, 刘起勇, 许磊, & 杨瑞馥. (20141103). 中国鼠疫自然疫源地分型研究Ⅲ．鼠疫耶尔森菌DFR／MLVA主要基因组型生物学特征. 中华流行病学杂志, 33(5), 536–539.

73. 方喜业, 周冬生, 崔玉军, 李艳君, 刘起勇, 李贵昌, 许磊, & 杨瑞馥. (20140909). 中国鼠疫自然疫源地分型研究Ⅳ.鼠疫耶尔森菌生物型生物学特征的探讨. 中华流行病学杂志, 33(6), 626–629.

74. 秦长育, 许磊, 张荣祖, 刘起勇, 李贵昌, & 方喜业. (20140909). 中国鼠疫自然疫源地分型研究Ⅴ.鼠疫宿主生物学特征. 中华流行病学杂志, 33(7), 692–697.

75. 龚正达, 于心, 刘起勇, 叶瑞玉, 鲁亮, 许磊, 张金桐, 李超, 白学礼, & 方喜业. (20140903). 中国鼠疫自然疫源地分型研究Ⅵ.鼠疫媒介生物学特征. 中华流行病学杂志, 33(8), 818–822.

76. 方喜业, 杨瑞馥, 许磊, 刘起勇, 董兴齐, 张荣祖, 于心, 秦长育, 龚正达, 周冬生, 崔玉军, 李艳君, 叶瑞玉, 鲁亮, 张金桐, & 李贵昌. (20140903). 中国鼠疫自然疫源地分型研究Ⅶ.中国鼠疫自然疫源地分型生物学特征. 中华流行病学杂志, 33(11), 1144–1150.

77. 方喜业, 刘起勇, 许磊, 周冬生, 崔玉军, 董兴齐, 张荣祖, 谷少华, 叶财德, & 杨瑞馥. (20140918). 中国鼠疫自然疫源地分型研究VIII鼠疫自然疫源地分型生物学研究基础理念. 中华流行病学杂志, 34(1), 91–97.