eprintid: 24652 rev_number: 21 userid: 4439 dir: disk0/00/02/46/52 datestamp: 2015-05-05 16:57:49 lastmod: 2021-04-11 07:56:07 status_changed: 2015-05-05 16:57:49 type: article metadata_visibility: show contact_email: donburke@pitt.edu item_issues_count: 0 eprint_status: archive creators_name: Lukens, S creators_name: Depasse, J creators_name: Rosenfeld, R creators_name: Ghedin, E creators_name: Mochan, E creators_name: Brown, ST creators_name: Grefenstette, J creators_name: Burke, DS creators_name: Swigon, D creators_name: Clermont, G creators_email: creators_email: creators_email: creators_email: elg21@pitt.edu creators_email: creators_email: creators_email: gref@pitt.edu creators_email: donburke@pitt.edu creators_email: swigon@pitt.edu creators_email: cler@pitt.edu creators_id: creators_id: creators_id: creators_id: ELG21 creators_id: creators_id: creators_id: GREF creators_id: DONBURKE creators_id: SWIGON creators_id: CLER title: A large-scale immuno-epidemiological simulation of influenza A epidemics ispublished: pub divisions: sch_as_math divisions: sch_gsph_biostatistics divisions: sch_gsph_epidemiology divisions: sch_med_Computational_Systems_Biology divisions: sch_med_CriticalCareMedicine full_text_status: public abstract: Background: Agent based models (ABM) are useful to explore population-level scenarios of disease spread and containment, but typically characterize infected individuals using simplified models of infection and symptoms dynamics. Adding more realistic models of individual infections and symptoms may help to create more realistic population level epidemic dynamics. date: 2014-09-29 date_type: published publication: BMC Public Health volume: 14 number: 1 refereed: TRUE centers: cen_other_vaccineresearch id_number: 10.1186/1471-2458-14-1019 citation: Lukens, S and Depasse, J and Rosenfeld, R and Ghedin, E and Mochan, E and Brown, ST and Grefenstette, J and Burke, DS and Swigon, D and Clermont, G (2014) A large-scale immuno-epidemiological simulation of influenza A epidemics. BMC Public Health, 14 (1). document_url: http://d-scholarship-dev.library.pitt.edu/24652/1/licence.txt