Pejman Rohani
Affiliations: | Applied and Interdisciplinary Mathematics | University of Michigan, Ann Arbor, Ann Arbor, MI |
Area:
Applied Mathematics, Ecology Biology, EpidemiologyGoogle:
"Pejman Rohani"Collaborators
Sign in to add collaborator| Aaron A. King | collaborator | University of Georgia (Theoretical Ecology Tree) |
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Publications
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| Briga M, Goult E, Brett TS, et al. (2024) Maternal pertussis immunization and the blunting of routine vaccine effectiveness: a meta-analysis and modeling study. Nature Communications. 15: 921 |
| Rane MS, Wakefield J, Rohani P, et al. (2023) Association between pertussis vaccination coverage and other sociodemographic factors and pertussis incidence using surveillance data. Epidemics. 44: 100689 |
| Gokhale DV, Brett TS, He B, et al. (2023) Disentangling the causes of mumps reemergence in the United States. Proceedings of the National Academy of Sciences of the United States of America. 120: e2207595120 |
| Domenech de Cellès M, Wong A, Andrea Barrero Guevara L, et al. (2022) Immunological heterogeneity informs estimation of the durability of vaccine protection. Journal of the Royal Society, Interface. 19: 20220070 |
| Saeidpour A, Bansal S, Rohani P. (2022) Dissecting recurrent waves of pertussis across the boroughs of London. Plos Computational Biology. 18: e1009898 |
| Le A, King AA, Magpantay FMG, et al. (2021) The impact of infection-derived immunity on disease dynamics. Journal of Mathematical Biology. 83: 61 |
| Rane MS, Rohani P, Halloran ME. (2021) Durability of protection after 5 doses of acellular pertussis vaccine among 5-9 year old children in King County, Washington. Vaccine. 39: 6144-6150 |
| Gunning CE, Mwananyanda L, MacLeod WB, et al. (2020) Implementation and adherence of routine pertussis vaccination (DTP) in a low-resource urban birth cohort. Bmj Open. 10: e041198 |
| O'Regan SM, O'Dea EB, Rohani P, et al. (2020) Transient indicators of tipping points in infectious diseases. Journal of the Royal Society, Interface. 17: 20200094 |
| Kwuimy CAK, Nazari F, Jiao X, et al. (2020) Nonlinear dynamic analysis of an epidemiological model for COVID-19 including public behavior and government action. Nonlinear Dynamics. 1-15 |