A case for ongoing structural support to maximise infectious disease modelling efficiency for future public health emergencies: A modelling perspective.
Epidemics
; 46: 100734, 2024 Mar.
Article
en En
| MEDLINE
| ID: mdl-38118273
ABSTRACT
This short communication reflects upon the challenges and recommendations of multiple COVID-19 modelling and data analytic groups that provided quantitative evidence to support health policy discussions in Switzerland and Germany during the SARS-CoV-2 pandemic. Capacity strengthening outside infectious disease emergencies will be required to enable an environment for a timely, efficient, and data-driven response to support decisions during any future infectious disease emergency. This will require 1) a critical mass of trained experts who continuously advance state-of-the-art methodological tools, 2) the establishment of structural liaisons amongst scientists and decision-makers, and 3) the foundation and management of data-sharing frameworks.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Enfermedades Transmisibles
/
COVID-19
Límite:
Humans
Idioma:
En
Revista:
Epidemics
Año:
2024
Tipo del documento:
Article
País de afiliación:
Suiza