Cite
Intracounty modeling of COVID-19 infection with human mobility: Assessing spatial heterogeneity with business traffic, age, and race.
MLA
Xiao Hou, et al. “Intracounty Modeling of COVID-19 Infection with Human Mobility: Assessing Spatial Heterogeneity with Business Traffic, Age, and Race.” Proceedings of the National Academy of Sciences of the United States of America, vol. 118, no. 24, June 2021, pp. 1–9. EBSCOhost, https://doi.org/10.1073/pnas.2020524118.
APA
Xiao Hou, Song Gao, Qin Li, Yuhao Kang, Nan Chen, Kaiping Chen, Rao, J., Ellenberg, J. S., & Patz, J. A. (2021). Intracounty modeling of COVID-19 infection with human mobility: Assessing spatial heterogeneity with business traffic, age, and race. Proceedings of the National Academy of Sciences of the United States of America, 118(24), 1–9. https://doi.org/10.1073/pnas.2020524118
Chicago
Xiao Hou, Song Gao, Qin Li, Yuhao Kang, Nan Chen, Kaiping Chen, Jinmeng Rao, Jordan S. Ellenberg, and Jonathan A. Patz. 2021. “Intracounty Modeling of COVID-19 Infection with Human Mobility: Assessing Spatial Heterogeneity with Business Traffic, Age, and Race.” Proceedings of the National Academy of Sciences of the United States of America 118 (24): 1–9. doi:10.1073/pnas.2020524118.