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代表性论著 1.Yang L et al. (2023) Association of vaccination, international travel, public health and social measures with lineage dynamics of SARS-CoV-2. PNAS 120: e2305403120. (“invited commentary”, Complex Interplay between Population Immunity and Viral Dynamics, PNAS, 120: e2312198120)
2.Brownstein J et al. (2023) Advances in Artificial Intelligence for infectious-disease surveillance. NEJM 388: 1597-1607.
3.Chen Y et al. (2022) Measuring the effects of COVID-19-related disruption on dengue transmission in southeast Asia and Latin America: a statistical modelling study. Lancet Infectious Diseases 22: 657-67 (“Cover Story”; “invited comment”, Lancet Infectious Diseases, 22: 570-71; Lancet Infectious Diseases, 22:763)
4.Tian H* et al. (2020) An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China. Science 368: 638-42 (Selected to be included in “Science in the Classroom”)
5.Yang Q et al. (2020) Assessing the role of live poultry trade in community-structured transmission of avian influenza in China. PNAS 117:5949-54 (“From the Cover”, PNAS, 117:5546; “Research Highlight”, Nature, 579:176)
6.Tian H* et al. (2018) Urbanization prolongs hantavirus epidemics in cities. PNAS 115:4707-12
7.Tian H* et al. (2018) Transmission dynamics of re-emerging rabies in domestic dogs of rural China. PLOS Pathogens 14:e1007392 (“Research Highlight”, PLOS Pathogens)
8.Tian H et al. (2017) Interannual cycles of Hantaan virus outbreaks at the human–animal interface in Central China are controlled by temperature and rainfall. PNAS 114:8041-6 (“Research Highlight”, PNAS)
9.Tian H et al. (2017) Anthropogenically driven environmental changes shift the ecological dynamics of hemorrhagic fever with renal syndrome. PLOS Pathogens 13:e1006198
10.Tian H et al. (2015) Avian influenza H5N1 viral and bird migration networks in Asia. PNAS 112:172-7
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