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Dr James Azam

Research Software Engineer

United Kingdom

I am a Research Software Engineer at the London School of Hygiene and Tropical Medicine, working on the Epiverse TRACE Initiative, which is a project to develop and maintain R packages for providing reproducible analytics support during epidemics.

Affiliations

Department of Infectious Disease Epidemiology and Dynamics
Faculty of Epidemiology and Population Health

Teaching

I do not teach in my current role but in an independent capacity, I teach various topics in infectious disease modelling, scientific computing and reproducible workflows, and R programming at various levels from beginner to advanced (R package development and topics included in the Advanced R book by Hadley Wickham).

Research

I am interested in developing mathematical/statistical models, methods, and open-source software to evaluate the impact of pharmaceutical and non-pharmaceutical interventions on the spread of infectious diseases. More broadly, I am interested in quantitative research that provides insights into improving health outcomes, especially in low-resource settings.

 

Additionally, I like contributing to and indulging in the literature on improving science, including science communication, science policy, and science cultural research around diversion and inclusion.

Research Area
Mathematical modelling
Modelling
Epidemiology
Applied mathematics
Statistical methods
Bayesian analysis
Disease and Health Conditions
Measles
COVID-19

Selected Publications

EpiNow2: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters
ABBOTT, S; Hellewell, J; SHERRATT, K; Gostic, K; Hickson, J; Badr, HS; DeWitt, M; AZAM, JM; EpiForecasts,; FUNK, S;
2024
Zenodo
Global burden of bacterial antimicrobial resistance 1990-2021: a systematic analysis with forecasts to 2050.
GBD 2021 Antimicrobial Resistance Collaborators,;
2024
Lancet (London, England)
cleanepi: Clean and Standardize Epidemiological Data
Mané, K; Jombart, T; Bah, B; Ahadzie, B; Mohammed, N; Degoot, AM; Gruson, H; Gupte, PR; AZAM, JM; LAMBERT, JW; Hartgerink, C;
2024
Comprehensive R Archive Network
cfr: Estimate Disease Severity and Case Ascertainment
Gupte, PR; KUCHARSKI, AJ; RUSSELL, TW; LAMBERT, JW; Gruson, H; Taylor, T; AZAM, JM; Degoot, AM; FUNK, S;
2024
Comprehensive R Archive Network
Recommendations for empowering early career researchers to improve research culture and practice.
Kent, BA; Holman, C; Amoako, E; Antonietti, A; AZAM, JM; Ballhausen, H; Bediako, Y; Belasen, AM; Carneiro, CF D; Chen, Y-C; Compeer, EB; Connor, CA C; Crüwell, S; Debat, H; Dorris, E; Ebrahimi, H; Erlich, JC; Fernández-Chiappe, F; Fischer, F; Gazda, MA; Glatz, T; Grabitz, P; Heise, V; Kent, DG; Lo, H; ... Weissgerber, TL.
2022
PLoS biology
Modelling the relative benefits of using the measles vaccine outside cold chain for outbreak response.
AZAM, JM; Saitta, B; Bonner, K; Ferrari, MJ; Pulliam, JR C;
2021
Vaccine
Empowering Early Career Researchers to Improve Science
Kent, BA; Holman, C; Amoako, E; Antonietti, A; AZAM, JM; Ballhausen, H; Bediako, Y; Belasen, A; Carneiro, CF D; Chen, Y-C; Compeer, E; Connor, C; Crüwell, S; Debat, H; Dorris, E; Ebrahimi, H; Erlich, JC; Chiappe, FF; Fischer, F; Gazda, MA; Glatz, T; Grabitz, P; Heise, V; Kent, D; Lo, H; ... Weissgerber, TL.
2021
Center for Open Science
Modelling the relative benefits of using the measles vaccine outside cold chain for outbreak response
AZAM, J; Saitta, B; Bonner, K; Ferrari, M; Pulliam, JR C;
2021
medRxiv
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