Publications

  1. Han, Y., Mao, L., Chen, X., Zhai, W., Peng, Z. R., & Mozumder, P. (2021). Agent-based Modeling to Evaluate Human-Environment Interactions in Community Flood Risk Mitigation. Risk Analysis. https://doi.org/10.1111/risa.13854

  2. Yin, L.*, Zhang, H., Li, Y., Liu, K., Chen, T., Luo, W., …, Mao, L.,* & Mei, 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), 20210112. 10.1098/rsif.2021.0112

  3. Du, F.Y., Mao, L., Wang, J.E. (2021). Determinants of travel mode choice for seeking healthcare: A comparison between elderly and non-elderly patients. Journal of Transport Geography. 92: 103023. https://doi.org/10.1016/j.jtrangeo.2021.103023

  4. Yuan, F.X., Liu, R., Mao, L., Li, M. (2021). Internet of People Enabled Framework for Evaluating Performance Loss and Resilience of Urban Critical Infrastructures. Safety Science. 134:105079. https://doi.org/10.1016/j.ssci.2020.105079

  5. Fu, H., Zhang, Y., Liao, C., Mao, L., Wang, Z., & Hong, N. (2020). Investigating PM 2.5 responses to other air pollutants and meteorological factors across multiple temporal scales. Scientific Reports, 10(1), 1-10. https://https://doi.org/10.1038/s41598-020-72722-z

  6. Yang. Y., Metcalf, S., Mao, L.* (2020) Modeling transit-assisted hurricane evacuation through socio-spatial networks. International Journal of Geographical Information Science, DOI: 10.1080/13658816.2020.1828590

  7. Han, Y., Ash, K., Mao, L., & Peng, Z. R. (2020). An agent-based model for community flood adaptation under uncertain sea-level rise. Climatic Change, 1-20. https://doi.org/10.1007/s10584-020-02802-6

  8. Yang, Y., Metcalf, S., Mao, L.* (2020). Modeling transit-assisted hurricane evacuation through socio-spatial networks. International Journal of Geographical Information Science (under review).

  9. Lippi, C.A., Mao, L., Stewart-Ibarra, A.M. et al. (2020). A network analysis framework to improve the delivery of mosquito abatement services in Machala, Ecuador. International Journal of Health Geographies 19, 3. https://doi.org/10.1186/s12942-020-0196-6

  10. Yin, L., Lin, N., Song, X.Q., Mei, S.J., Shaw, S.L., Fang, Z.X., Li, Q.L. Mao, L*. (2020). Space-Time Personalized Short Message Service (SMS) for Infectious Disease Control – Policies for Precise Public Health. Applied Geography 114. 102103. https://doi.org/10.1016/j.apgeog.2019.102103

  11. Yaghyan, L., Cogle, C.R., Deng, G.R., Yang, J., Jackson, P., Hardt, N., Mao, L.*. (2019). Continuous Rural-Urban Coding for Cancer Disparity Studies: Is It Appropriate for Statistical Analysis? International Journal of Environmental Research and Public Health. 16(6).1076, http://doi.org/10.3390/ijerph16061076

  12. Wu, C.Y., Mossa, J., Mao, L. Almulla, M. (2019). Comparison of different spatial interpolation methods for historical hydrographic data of the Lowermost Mississippi River. Annals of GIS. http://doi.org/10.1080/19475683.2019.1588781

  13. Zhang, J. W., Mao, L.* (2019). Integrating multi-modal transportation into measures of spatial food accessibility. Journal of Transport & Health.13:1-11 https://doi.org/10.1016/j.jth.2019.03.001

  14. Yang, Y., Mao, L., Metcalf, S., (2019). Diffusion of hurricane evacuation behavior through a home-workplace social network: A spatially explicit agent-based simulation model. Computers, Environment and Urban Systems. 74: 13-22

  15. Mollalo, A., Mao, L., Rashidi, P., Glass, G. (2019) A GIS-based Artificial Neural Network Model for Spatial Distribution of Tuberculosis across the Continental United States. International Journal of Environmental Research and Public Health,16, 157; http://doi:10.3390/ijerph16010157

  16. Gomez,J.P., Nekorchuk,D., Mao, L., Ryan S. J., Ponciano, J.M., Blackburn K.J.(2018). Compartmental Model for Environmentally-mediated Indirect Disease Transmission. PLoS ONE 13 (12), e0208621.

  17. Deng, GR., Mao, L.* (2018). Spatially explicit age segregation index and self-rated health of older adults in U.S. cities. ISPRS International Journal of Geo-Information, 7,351; https://doi.org/10.3390/ijgi7090351

  18. Stacciarini, J.M., Vacca, R., Mao, L.* (2018) Who and Where: A socio-spatial analytic approach for community-based health research. International Journal of Environmental Research and Public Health 2018, 15(7), 1375; https://doi.org/10.3390/ijerph15071375

  19. Yaghjyan, L., Rich, S., Mao, L., Mai, V., Egan, K.M. (2018). Interactions of coffee consumption and postmenopausal hormone use in relation to breast cancer risk in UK Biobank. Cancer Causes & Control, 29(6):519-525 (https://doi.org/10.1007/s10552-018-1028-x)

  20. Mao, L., Yang, J., Deng, GR. (2018). Mapping rural–urban disparities in late-stage cancer with space-time rurality index and GWR. Spatial and spatio-temporal epidemiology, 26: 15-23 ( https://doi.org/10.1016/j.sste.2018.04.001)

  21. Wang, L.H., Liu, Y.X., Mao, L., Sun, C. (2018). Evaluating impacts of the proposed China 2030 high-speed rail network on ground transportation accessibility. Sustainability, 10(4): 1270.

  22. Yang, J., Mao, L.* (2018). Understanding temporal changes of spatial accessibility to healthcare: an analytic framework for local factor impacts. Health and Place 51, 118-124

  23. Rojas, A., Patarroyo, P., Mao, L., and Kowalewski, M. (2017). Global biogeography of Albian ammonoids: A network–based approach. Geology. 45 (7): 659-662. DOI: 10.1130/G38944.1

  24. da Paixão Sevá, A., Mao, L., Galvis-Ovallos, F., Lima, J. M. T., & Valle, D. (2017). Risk analysis and prediction of visceral leishmaniasis dispersion in São Paulo State, Brazil. PLOS Neglected Tropical Diseases, 11(2), e0005353.

  25. Mao, L., Yin, L., Song, X.Q., Mei, S.J. (2016). Mapping intra-urban transmission risks of dengue fever with big hourly cellphone tracking data. Acta Tropica 162: 188-915 (http://dx.doi.org/10.1016/j.actatropica.2016.06.029)

  26. Schiaffino K. M., Nara A., Mao, L. (2016) Where are the hospital language services? Geographic trends in language services and met and unmet service areas need among U. S. hospitals. Health Affairs 35(8): 1399-1403.( DOI: 10.1377/hlthaff.2015.0955)

  27. Ha S., Hu, H., Mao, L., Roussors-Ross, D., Roth, J., Xu, X.H. (2016) Potential Selection Bias of Using Geocoded Birth Records for Epidemiological Research. Annals of Epidemiology 26(3): 204-211 (http://dx.doi.org/10.1016/j.annepidem.2016.01.002)

  28. Mao, L., Stacciarini, J.M., Smith R., Wiens, B. (2015) An individual-based rurality measure and its health application: A case study of Latino immigrants in North Florida, USA. Social Science and Medicine 147: 300-308 (doi:10.1016/j.socscimed.2015.10.064)

  29. Mao, L (2015) Predicting self-initiated preventive behavior against epidemics with an agent-based relative agreement model. Journal of Artificial Societies and Social Simulation 18(4):6 (DOI: 10.185642892).

  30. Mao, L., Wu, X., Huang, Z.J., Tatem, A. (2015) Modeling monthly flows of global air travel passengers: an open-access data resource. Journal of Transport Geography 48: 52-60. (doi:10.1016/j.jtrangeo.2015.08.017)

  31. Wang, Y., Waylen, P., Mao, L. (2014) Modeling Properties of Influenza-Like Illness Peak Events with Crossing Theory. ISPRS International Journal of Geo-Information. 3:764-780. (doi:10.3390/ijgi3020764)

  32. Mao, L., (2014). Modeling Triple-Diffusions of Infectious Diseases, Information, and Preventive Behaviors through a Metropolitan Social Network— An Agent-based Simulation. Applied Geography. 50: 31-39. (DOI:10.1016/j.apgeog.2014.02.005)

  33. Mao, L., (2014). Ranking Academic Impact of GIS Research Organizations in the United States: A Bibliographic Network Analysis over 20 years. GIScience and Remote Sensing. 51(1):51-62. (DOI:10.1080/15481603.2014.883211)

  34. Mao, L., Nekorchuk, D. (2013). Measuring Spatial Accessibility to Healthcare for Populations with Multiple Transportation Modes. Health & Place 24: 115-122 (http://dx.doi.org/10.1016/j.healthplace.2013.08.008)

  35. Mao, L., (2013). Geography, Structure, and Evolution of GIS Research Community in the United States: A Network Analysis from 1992-2011. Transactions in GIS, 18(5), 704-717 (doi: 10.1111/tgis.12054)

  36. Liu, Y. X., Li, M. C., Mao, L., Chen, L., Chen K. F. (2013). Seasonal Pattern of Tidal-Flat Topography along the Jiangsu Middle Coast, China, Using HJ-1 Optical Images. Wetlands 33: 871-886

  37. Liu, Y. X., Li, M.C., Zhou, M. X., Yang, K, Mao, L. (2013). Quantitative Analysis of the Waterline Method for Topographical Mapping of Tidal Flats: A Case Study in the Dongsha Sandbank, China. Remote Sensing. 5(11):6138-6158.

  38. Mao, L., Yang, Y., Qiu, Y. L., Yang, Y., (2012). Annual economic impacts of seasonal influenza on US counties: Spatial heterogeneity and patterns. International Journal of Health Geographies 11:16 doi:10.1186/1476-072X-11-16

  39. Liu, Y. X., Li, M. C., Mao, L., Cheng L., Hu W., Li, F. X., (2012). Toward a Method of Constructing Tidal Flat Digital Elevation Models with MODIS and Medium-Resolution Satellite Images. Journal of Coastal Research 29(2): 438-448. DOI: 10.2112/JCOASTRES-D-12-00088.1

  40. Bian, L., Huang, Y. X. , Mao, L., Lim, E. J., Lee, G. J., Yang, Y., Wilson, D., & Cohen M., (2012). Modeling Individual Vulnerability to Communicable Diseases – A Framework and Design. The Annals of the Association of American Geographers, 102(5): 1016-1025.

  41. Mao, L., & Yang, Y. (2012). Coupling infectious disease, human preventive behavior, and social networks--A conceptual model for simulation. Social Science & Medicine, 74(2):167-175

  42. Mao, L., Qiu, Y. L., Kusano, C., Xu, X.H. (2012). Predicting regional space-time variation of PM2.5 with land use regression model and MODIS data. Environmental Science and Pollution Research, 19(1):128-138.

  43. Mao, L, (2011). Agent-based simulation for weekend-extension strategies to mitigate influenza outbreaks. BMC Public Health, 11(1): 522 (doi:10.1186/1471-2458-11-522).

  44. Mao, L, (2011). Evaluating the combined effectiveness of influenza control strategies and human preventive behavior. PLoS ONE, 6(10): e24706 (doi:10.1371/journal.pone.0024706).

  45. Mao, L., & Bian, L. (2011). Agent-based simulation for a dual-diffusion process of influenza and human preventive behavior. International Journal of Geographical Information Science, 25(9): 1371-1388

  46. Mao, L., & Bian, L. (2010). Spatial-temporal transmission of influenza and its health risks in an urbanized area. Computers, Environment and Urban Systems, 34(2):204-215

  47. Mao, L., & Bian, L. (2010). A dynamic social network with individual mobility for designing vaccination strategies. Transactions in GIS, 14(4):533-545

  48. Guo, W., Li S.H., Mao, L., Yin Y., & Zhu D. K. (2007). A Model for Environmental Impact Assessment of Land Reclamation. China Ocean Engineering, 9(2): 343-354

  49. Fu, H.Y., Li, M.C., Mao, L., & Liu, Y. X. (2007). An Ecological Footprint Analysis on the Impacts of General Land Use Planning - A Case Study in Langfang City. Journal of Natural Resources, 22(2): 225-235

  50. Wu, Y., Li, M.C., Mao, L. (2006). Quantitative Analysis on the Spatial Structure of Town System in County-Scope Supported by GIS: A Case Study in Lin'an County, Zhejiang Province. Geography and Geo-Information Science, 2:17-19

  51. Liu, Y.X., Li, M.C., & Mao, L. (2006). An Algorithm of Multi-spectral Remote Sensing Image Segmentation Based on Edge Information. Journal of Remote Sensing, 10(3): 350-356

  52. Liu, Y.X., Li, M.C., Mao, L., & Xu F. (2006). Review of Remotely Sensed Imagery Classification Patterns based on the Object-Oriented Approach. Chinese Geographical Science, 16(3): 282-288

  53. Mao, L., Li, M.C., Xu, J.G. (2006). Study on the Integration of Database Establishment and Mapping in Land Use Planning. Journal of Jiangxi Normal University (Natural Sciences Edition), 29(4)

  54. Mao, L., Li, M.C., Liu, Y.X., & Liu G.H.(2005). A Two-Dimensional Shape Index based on Area Compactness and Its Applications. Geography and Geo-information Science, 21(5): 11-14

  55. Mao, L., Li, M.C., & Liu, Y.X. (2005). Quantitative Analysis of Spatial Adjacency based on Entitative Data Model. Application Research of Computer, 22(4): 203-204