Porebski, Przemyslaw, Venkatramanan, Srinivasan, Adiga, Aniruddha, Klahn, Brian, Hurt, Benjamin, Wilson, Mandy L, Chen, Jiangzhuo, Vullikanti, Anil, Marathe, Madhav, and Lewis, Bryan. Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections. Retrieved from https://par.nsf.gov/biblio/10579987. Epidemics 47.C Web. doi:10.1016/j.epidem.2024.100761.

Porebski, Przemyslaw, Venkatramanan, Srinivasan, Adiga, Aniruddha, Klahn, Brian, Hurt, Benjamin, Wilson, Mandy L, Chen, Jiangzhuo, Vullikanti, Anil, Marathe, Madhav, & Lewis, Bryan. Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections. Epidemics, 47 (C). Retrieved from https://par.nsf.gov/biblio/10579987. https://doi.org/10.1016/j.epidem.2024.100761

Porebski, Przemyslaw, Venkatramanan, Srinivasan, Adiga, Aniruddha, Klahn, Brian, Hurt, Benjamin, Wilson, Mandy L, Chen, Jiangzhuo, Vullikanti, Anil, Marathe, Madhav, and Lewis, Bryan. "Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections". Epidemics 47 (C). Country unknown/Code not available: Elsiever. https://doi.org/10.1016/j.epidem.2024.100761. https://par.nsf.gov/biblio/10579987.

@article{osti_10579987,
place = {Country unknown/Code not available}, title = {Data-driven mechanistic framework with stratified immunity and effective transmissibility for COVID-19 scenario projections}, url = {https://par.nsf.gov/biblio/10579987}, DOI = {10.1016/j.epidem.2024.100761}, abstractNote = {}, journal = {Epidemics}, volume = {47}, number = {C}, publisher = {Elsiever}, author = {Porebski, Przemyslaw and Venkatramanan, Srinivasan and Adiga, Aniruddha and Klahn, Brian and Hurt, Benjamin and Wilson, Mandy L and Chen, Jiangzhuo and Vullikanti, Anil and Marathe, Madhav and Lewis, Bryan}, }