Joseph Aylett-Bullock
Biographic Data
| ID | 9798172 |
|---|---|
| NAME | Joseph Aylett-Bullock |
| GIVEN NAMES | Joseph |
| FAMILY NAME | Aylett-Bullock |
| SIGNATURE | AYLETT-BULLOCK J |
| AFFILIATIONS | Durham University |
| ORCID | 0000-0001-7551-3423 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Epidemiological modelling in refugee and internally displaced people settlements
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 is vital to guiding evidence-informed or data-driven decision making. In forced displacement contexts, and in particular refugee and internally displaced people (IDP) settlements, it meets several chal…
From Artificial Intelligence Bias to Inequality in the Time of Covid-19
As secretary general of the United Nations, Antonio Guterres said during the 2020 Nelson Mandela Annual Lecture, “COVID-19 has been likened to an X-ray, revealing fractures in the fragile skeleton of the societies we have built.” Without a doubt, the COVID-19 pandemic has exposed and exacerbated existing global inequalities. Whether at the local, national, or international scale, the gap between the privileged and the vulnerable is growing wider,…
No prominent works on this page.
From Artificial Intelligence Bias to Inequality in the Time of Covid-19
As secretary general of the United Nations, Antonio Guterres said during the 2020 Nelson Mandela Annual Lecture, “COVID-19 has been likened to an X-ray, revealing fractures in the fragile skeleton of the societies we have built.” Without a doubt, the COVID-19 pandemic has exposed and exacerbated existing global inequalities. Whether at the local, national, or international scale, the gap between the privileged and the vulnerable is growing wider,…
Epidemiological modelling in refugee and internally displaced people settlements
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 is vital to guiding evidence-informed or data-driven decision making. In forced displacement contexts, and in particular refugee and internally displaced people (IDP) settlements, it meets several chal…
COVID-19 epidemiological studies (2 works) · Disease (2 works) · Medicine (2 works) · Pandemic (2 works) · Political science (2 works) · COVID-19 and healthcare impacts (1 work) · COVID-19 diagnosis using AI (1 work) · Demographic economics (1 work) · Development economics (1 work) · Disaster Response and Management (1 work)