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.

ORCID ID: 0000-0002-0523-9518

Recent publications

Estimation of the poliovirus type 2 immunity gap in South Africa
Brown LR, Bingham JL, Pulliam JRC, Mthombothi ZE, Sereo T, Kamupira M, Botha S, Molema K, Maseti E, Schönfeldt M, Mabhena N, Prabdial-Sing N, von Gottberg A, McCarthy K, van Schalkwyk C

Vaccine

(2024)

https://doi.org/10.1016/j.vaccine.2024.06.029
The evolution and interpretation of seroprevalence of SARS-CoV-2 antibodies among South African blood donors from the Beta to Omicron variant-driven waves
Vermeulen M, Mhlanga L, Sykes W, Cable R, Coleman C, Pietersen N, Swanevelder R, Glatt TN, Bingham JL, van den Berg K, Grebe PE, Welte A

Vox Sanguinis

(2024)

https://doi.org/10.1111/vox.13571
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
Bingham JL, Tempia S, Moultrie H, Viboud C, Jassat W, Cohen C, Pulliam JRC

PLOS ONE

(2023)

https://doi.org/10.1371/journal.pone.0287026
Deep learning approaches to landmark detection in tsetse wing images
Geldenhuys DS, Josias S, Brink W, Makhubele M, Hui C, Landi P, Bingham JL, Hargrove JW, Hazelbag CM

PLoS Computational Biology

(2023)

https://doi.org/10.1371/journal.pcbi.1011194
Estimates of prevalence of anti-SARS-CoV-2 antibodies among blood donors in South Africa in March 2022
Bingham JL, Cable R, Coleman C, Glatt TN, Grebe PE, Mhlanga L, Nyano C, Pieterson N, Swanevelder R, Swarts A, Sykes W, van den Berg K, Vermeulen M, Welte A

medRxiv

(2022)

https://doi.org/10.21203/rs.3.rs-1687679/v2
The direct and indirect effects of the COVID-19 pandemic on private healthcare utilization in South Africa, March 2020 – September 2021
Perofsky AC, Tempia S, Bingham JL, Maslo C, Toubkin M, Laubscher A, Walaza S, Pulliam JRC, Viboud C, Cohen C

Clinical Infectious Diseases

(2022)

https://doi.org/10.1093/cid/ciac055
Bounding the levels of transmissibility & immune evasion of the Omicron variant in South Africa
Pearson CAB, Silal SP, 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

medRxiv

(2021)

https://doi.org/10.1101/2021.12.19.21268038
Interpreting HIV diagnostic histories into infection time estimates: analytical framework and online tool
Grebe PE, Facente SN, Bingham JL, Pilcher CD, Powrie A, Gerber J, Priede G, Chibawara T, Busch MP, Murphy G, Kassanjee R, Welte A

BMC Infectious Diseases

(2019)

https://doi.org/10.1186/s12879-019-4543-9