Outputs (3)

Epidemiological modelling in refugee and internally displaced people settlements: challenges and ways forward (2022)
Journal Article
Aylett-Bullock, J., Gilman, R. T., Hall, I., Kennedy, D., Evers, E. S., Katta, A., Ahmed, H., Fong, K., Adib, K., Al Ariqi, L., Ardalan, A., Nabeth, P., von Harbou, K., Hoffmann Pham, K., Cuesta-Lazaro, C., Quera-Bofarull, A., Gidraf Kahindo Maina, A., Valentijn, T., Harlass, S., Krauss, F., …Luengo-Oroz, M. (2022). Epidemiological modelling in refugee and internally displaced people settlements: challenges and ways forward. BMJ Global Health, 7(3), Article e007822. https://doi.org/10.1136/bmjgh-2021-007822

The spread of infectious diseases such as COVID-19 presents many challenges to healthcare systems and infrastructures across the world, exacerbating inequalities and leaving the world’s most vulnerable populations at risk. Epidemiological modelling i... Read More about Epidemiological modelling in refugee and internally displaced people settlements: challenges and ways forward.

Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox’s Bazar settlement (2021)
Journal Article
Aylett-Bullock, J., Cuesta-Lazaro, C., Quera-Bofarull, A., Katta, A., Hoffmann Pham, K., Hoover, B., Strobelt, H., Moreno Jimenez, R., Sedgewick, A., Samir Evers, E., Kennedy, D., Harlass, S., Gidraf Kahindo Maina, A., Hussien, A., & Luengo-Oroz, M. (2021). Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox’s Bazar settlement. PLoS Computational Biology, 17(10), https://doi.org/10.1371/journal.pcbi.1009360

The spread of infectious diseases such as COVID-19 presents many challenges to healthcare systems and infrastructures across the world, exacerbating inequalities and leaving the world’s most vulnerable populations most affected. Given their density a... Read More about Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox’s Bazar settlement.

JUNE: open-source individual-based epidemiology simulation (2021)
Journal Article
Aylett-Bullock, J., Cuesta-Lazaro, C., Quera-Bofarull, A., Icaza-Lizaola, M., Sedgewick, A., Truong, H., Curran, A., Elliott, E., Caulfield, T., Fong, K., Vernon, I., Williams, J., Bower, R., & Krauss, F. (2021). JUNE: open-source individual-based epidemiology simulation. Royal Society Open Science, 8(7), https://doi.org/10.1098/rsos.210506

We introduce June, an open-source framework for the detailed simulation of epidemics on the basis of social interactions in a virtual population constructed from geographically granular census data, reflecting age, sex, ethnicity and socio-economic i... Read More about JUNE: open-source individual-based epidemiology simulation.