Disease transmission and control modelling at the science–policy interface
The coronavirus disease 2019 (COVID-19) pandemic has disrupted the lives of billions across the world. Mathematical modelling has been a key tool deployed throughout the pandemic to explore the potential public health impact of an unmitigated epidemic. The results of such studies have informed gover...
Egile Nagusiak: | McCabe, R, Donnelly, CA |
---|---|
Formatua: | Journal article |
Hizkuntza: | English |
Argitaratua: |
Royal Society
2021
|
Antzeko izenburuak
-
Public awareness of and opinions on the use of mathematical transmission modelling to inform public health policy in the United Kingdom
nork: McCabe, R, et al.
Argitaratua: (2023) -
Inferring community transmission of SARS-CoV-2 in the United Kingdom using the ONS COVID-19 Infection Survey.
nork: McCabe, R, et al.
Argitaratua: (2024) -
Inferring community transmission of SARS-CoV-2 in the United Kingdom using the ONS COVID-19 Infection Survey
nork: Ruth McCabe, et al.
Argitaratua: (2024-06-01) -
Is there a role for citizen science in death and dying research?
nork: Clare Wilkinson, et al.
Argitaratua: (2023-09-01) -
Structural identifiability of compartmental models for infectious disease transmission is influenced by data type
nork: Dankwa, EA, et al.
Argitaratua: (2022)