Jeremy Bingham, MSc

Junior Researcher

Research theme: Rapid Response to Emerging Threats

Jeremy Bingham is a Junior Researcher at SACEMA. Prior to joining the staff of SACEMA, Jeremy was a full-time student pursuing an MSc in Mathematical Sciences at Stellenbosch University. Jeremy is currently working on several projects related to the COVID-19 pandemic in South Africa in collaboration with the National Institute of Communicable Diseases (NICD), with a focus on building automated analysis pipelines for routine monitoring of COVID-19 data streams. Jeremy is also coordinating and participating in SACEMA’s Modelling and Analytics Response Team (SMART), currently an intensive training program preparing team members for, and involving them in, real-life outbreak response work. Jeremy’s previous training and research included theoretical physics and evolutionary game theory; Jeremy has participated in various training and mentorship activities, co-supervising several honours projects, lecturing a course on Agricultural Calculations at the Cape Peninsula University of Technology (CPUT), and mentoring for the 2020 course on Software Engineering for Applied Mathematical Sciences (SEAMS) held at SACEMA.

Recent publications

Bingham J, Tempia S, Moultrie H, Viboud C, Jassat W, Cohen C, Pulliam JRC (2022) Estimating the time-varying reproduction number for COVID-19 in South Africa during the first four waves using multiple measures of incidence for public and private sectors across four waves doi.org/10.1101/2022.07.22.22277932

Bingham J, Cable R, Coleman C, Glatt TN, Grebe E, Mhlanga, Nyano C, Pieterson N, Swanevelder R, Swarts A, Sykes W, van den Berg K, Vermeulen M, Welte A (2022) Estimates of prevalence of anti-SARS-CoV-2 antibodies among blood donors in South Africa in March 2022 doi.org/10.21203/rs.3.rs-1687679/v2 Preprint

Perofsky AC, Tempia S, Bingham J, Maslo C, Toubkin M, Laubscher A, Walaza S, Pulliam JRC, Viboud C, Cohen C (2022) The direct and indirect effects of the COVID-19 pandemic on private healthcare utilization in South Africa, March 2020 – September 2021 Clinical Infectious Diseases doi.org/10.1093/cid/ciac055

Pearson CAB, Silal S, Li MWZ, Dushoff J, Bolker BM, Abbott S, van Schalkwyk C, Davies, NG, Barnard RC, Edmunds WJ, Bingham JL, Meyer-Rath G, Glass A, Wolter N, Govender N, Stevens W, Scott L, Mlisana K, Moultrie H, Pulliam JRC, (2021) Bounding the levels of transmissibility & immune evasion of the Omicron variant in South Africa doi.org/10.1101/2021.12.19.21268038

Grebe, E., S.N. Facente, J. Bingham, C.D. Pilcher, A. Powrie, J.Gerber, G. Priede, T. Chibawara, M.P. Busch, G. Murphy, R. Kassanjee, & A. Welte (2019) Interpreting HIV diagnostic histories into infection time estimates: analytical framework and online tool. BMC infectious diseases 19(1):894, doi: 10.1186/s12879-019-4543-9

DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis