Infectious Disease Surveillance, Transmission, and Control

Infectious diseases pose great threats to society over the entire human history. Emerging infectious viruses, such as COVID-19, Dengue, have been exacerbated by population growth and environment change seen in contemporary society. It requires interdisciplinary collaboration to facilitate near real-time infectious disease surveillance, transmission, and control. This project aims to apply a series of analytical modeling such as epidemic modeling, spatiotemporal statistics, and machine learning/AI to infectious diseases include but not limited to COVID-19, Dengue, and Influenza. Under this topic, we have several ongoing directions:

Vector-borne diseases and Climate Change

Castro, L. A., N. Generous, Luo W, A. Pastore y Piontti, K. Martinez, M. F. C. Gomes, D. Osthus, G. Fairchild, A. Ziemann, A. Vespignani, M. Santillana, C. A. Manore & S. Y. Del Valle (2021) Using heterogeneous data to identify signatures of dengue outbreaks at fine spatio-temporal scales across Brazil. PLOS Neglected Tropical Diseases, 15, e0009392. [doi]

Epidemic Modeling

Du, Z., Luo, W., Sippy, R. and Wang, L., 2023. Infectious Disease Epidemiology and Transmission Dynamics. Viruses15(1), p.246. [doi]

Yin, L., Zhang, H., Li, Y., Liu, K., Chen, T., Luo, W., Lai, S., Li, Y., Tang, X., Ning, L. and Feng, S., 2021. A data driven agent-based model that recommends non-pharmaceutical interventions to suppress Coronavirus disease 2019 resurgence in megacities. Journal of the Royal Society Interface, 18(181), p.20210112 [doi].

Jusup, M., Holme, P., Kanazawa, K., Takayasu, M., Romic, I., Wang, Z., Gecek, S., Lipic, T., Podobnik, B., Wang, L. and Luo, W., 2021. Social physics. Physics Reports [doi].

Hamilton D, Katz D, Luo W, McKennie J, Jenness S, Goodreau S, Stekler J, Rosenberg E, Sullivan P, and Cassels S, 2021, Effective strategies to promote HIV self-testing for men who have sex with men: evidence from a mathematical model. Epidemics [doi].

Lai SJ, Feng LZ , Leng ZW, Lyu X, Li RY, Yin L, Luo W , Li ZJ, Lan YJ, Yang WZ. Summary and prospect of early warning models and systems for infectious disease outbreaks. 2021 Chinese journal of Epidemiology [doi].

Spatiotemporal Statistics

Luo, W., Liu, Q., Zhou, Y. et al. Spatiotemporal variations of “triple-demic” outbreaks of respiratory infections in the United States in the post-COVID-19 era. BMC Public Health 23, 2452 (2023). [doi].

Luo W., Zhou Y., Liu Z., Kang W., He S., Zhu R., Li R., & Huang B. (2023). Cross-regional analysis of the association between human mobility and COVID-19 infection in Southeast Asia during the transitional period of “living with COVID-19”. Health & Place, 103000 [doi][data&code]. 

Luo, W., Liu, Z., Zhou, Y., Zhao, Y., Li, Y.E., Masrur, A. and Yu, M., 2022. Investigating Linkages Between Spatiotemporal Patterns of the COVID-19 Delta Variant and Public Health Interventions in Southeast Asia: Prospective Space-Time Scan Statistical Analysis Method. JMIR Public Health and Surveillance8(8), p.e35840. [doi]

Li, Y., Zhu, Y., Tan, J.Y.K., Teo, H.C., Law, A., Qu, D. and Luo, W., 2022. The Impact of COVID-19 on NO2 and PM2. 5 Levels and Their Associations with Human Mobility Patterns in Singapore. Annals of GIS. pp.1-17. [doi]

Zhu, R., Anselin, L., Batty, M., Kwan, M.P., Chen, M., Luo, W., Cheng, T., Lim, C.K., Santi, P., Cheng, C. and Gu, Q., 2021. The effects of different travel modes and travel destinations on COVID-19 transmission in global cities. 2021. Science Bulletin [doi].

Social Media

Gu, K., Zhou, M., Luo, W., Liu, Y., Dou, P., Huang, C. and Di, Q., 2023. Long-term exposure to fine particulate matter and cardiovascular disease: The mitigation role of environmental concerns. Science of The Total Environment875, p.162656. [doi]

Hu, T. , S. Wang , Luo W, M. Zhang, X. Huang, Y. Yan, R. Liu, K. Ly, V. Kacker, B. She & Z. Li (2021) Revealing public opinion towards COVID-19 vaccines with Twitter Data in the United States: a spatiotemporal perspective. Journal of Medical Internet Research [doi].

International Trade and Supply Chain

International trade reshapes the world and it also suffers a lot of challenges such as supply chain disruption, deglobalization, and food and energy security. This project aims to evaluate strengths and vulnerabilities of international trade and supply chain networks in the diverse crises (i.e., COVID-19, deglobalization) to understand the global production resilience and prepare for the future crisis. Under this topic, we have several ongoing directions:

Trade networks with ML and AL

Luo W, Yuan M. 2021. Identifying temporal patterns of multilateral spatial interactions: using international trade as an example. Transactions in GIS. [doi].

Environmental Impacts (i.e., COVID-19) on trade networks

Luo, W., He, L., Yang, Z., Zhang, S., Wang, Y., Liu, D., Hu, S., He, L., Xia, J. and Chen, M., 2023. Spatio-temporal heterogeneity in the international trade resilience during COVID-19. Applied Geography, 154, p.102923. [doi] [data & code]

Geopolitical Impacts (i.e., US-China Trade War) on trade networks