Bram van Bunnik
Core Scientist - Quantitative Predictive Epidemiology
- College of Medicine and Veterinary Medicine
- Roslin Institute
Contact details
Address
- Street
-
The Royal (Dick) School of Veterinary Studies and The Roslin Institute
Easter Bush Campus - City
- Midlothian
- Post code
- EH25 9RG
Background
My research focuses on the understanding spread of infectious diseases using mathematical models, statistical modelling and Next Generation Sequencing. I am particular interested in the use of new techniques and technology to gain knowledge on the temporal and spatial spread of antibiotic resistance on all scales and gaining insights in how we can eliminate rabies by modelling (roaming) dog populations in countries where it is still endemic.
Using a combination of (experimental) data, mathematical modelling, statistical modelling and whole genome sequencing data, I hope to gain better understanding of, and insight in, the mechanisms that underlie (both spatial and temporal) spread of diseases.
I received my MSc in Biology from the University of Groningen, The Netherlands, after which I started as a PhD-student at the department of Quantitative Veterinary Epidemiology of Wageningen University and Central Veterinary Institute in Lelystad, where I researched the spread of pathogen between spatially separated hosts.
Open to PhD supervision enquiries?
Yes
-
Genomic epidemiology of Escherichia coli: Antimicrobial resistance through a One Health lens in sympatric humans, livestock and peri-domestic wildlife in Nairobi, Kenya
In:
BMC Medicine, vol. 20
DOI: https://doi.org/10.1186/s12916-022-02677-7
Research output: Contribution to Journal › Article (Published) -
Genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance
(16 pages)
In:
Nature Communications, vol. 13
DOI: https://doi.org/10.1038/s41467-022-34312-7
Research output: Contribution to Journal › Article (Published) -
The role of the environment in dynamics of antibiotic resistance in humans and animals: A modelling study
(14 pages)
In:
Antibiotics, vol. 11
DOI: https://doi.org/10.3390/antibiotics11101361
Research output: Contribution to Journal › Article (Published) -
Secrets of the hospital underbelly: patterns of abundance of antimicrobial resistance genes in hospital wastewater vary by specific antimicrobial and bacterial family
In:
Frontiers in Microbiology
DOI: https://doi.org/10.3389/fmicb.2021.703560
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Optimising time-limited non-pharmaceutical interventions for COVID-19 outbreak control
In:
Philosophical Transactions of the Royal Society B: Biological Sciences
DOI: https://doi.org/10.1098/rstb.2020.0282
Research output: Contribution to Journal › Article (Published) -
Segmentation and shielding of the most vulnerable members of the population as elements of an exit strategy from COVID-19 lockdown
In:
Philosophical Transactions of the Royal Society B: Biological Sciences
DOI: https://doi.org/10.1098/rstb.2020.0275
Research output: Contribution to Journal › Article (Published) -
Quantifying the transmission of antimicrobial resistance at the human and livestock interface with genomics
(11 pages)
In:
Clinical Microbiology and Infection
DOI: https://doi.org/10.1016/j.cmi.2020.09.019
Research output: Contribution to Journal › Article (Published) -
Global discovery of human-infective RNA viruses: A modelling analysis
In:
PLoS Pathogens, vol. 16, pp. e1009079
DOI: https://doi.org/10.1371/journal.ppat.1009079
Research output: Contribution to Journal › Article (E-pub ahead of print) -
Comment on: Gross national income and antibiotic resistance in invasive isolates: analysis of the top-ranked antibiotic-resistant bacteria on the 2017 WHO priority list
In:
Journal of Antimicrobial Chemotherapy
DOI: https://doi.org/10.1093/jac/dkz551
Research output: Contribution to Journal › Letter (E-pub ahead of print) -
A cross-sectional survey of practices and knowledge among antibiotic retailers in Nairobi, Kenya
In:
Journal of Global Health, vol. 9, pp. 010412
DOI: https://doi.org/10.7189/jogh.09.020412
Research output: Contribution to Journal › Article (Published)