| Title: |
Reducing societal impacts of SARS-CoV-2 interventions through subnational implementation |
| Authors: |
Dekker, Mark M.; Coffeng, Luc E.; Pijpers, Frank P.; Panja, Deb; de Vlas, Sake J.; Simulation of Complex Systems; Sub Simulation of Complex Systems |
| Publication Year: |
2023 |
| Subject Terms: |
COVID-19/epidemiology; Epidemics; Humans; Netherlands/epidemiology; Policy; SARS-CoV-2; Interventions; Epidemiological modelling; General Biochemistry,Genetics and Molecular Biology; General Immunology and Microbiology; General Neuroscience |
| Description: |
To curb the initial spread of SARS-CoV-2, many countries relied on nation-wide implementation of non-pharmaceutical intervention measures, resulting in substantial socio-economic impacts. Potentially, subnational implementations might have had less of a societal impact, but comparable epidemiological impact. Here, using the first COVID-19 wave in the Netherlands as a case in point, we address this issue by developing a high-resolution analysis framework that uses a demographically stratified population and a spatially explicit, dynamic, individual contact-pattern based epidemiology, calibrated to hospital admissions data and mobility trends extracted from mobile phone signals and Google. We demonstrate how a subnational approach could achieve similar level of epidemiological control in terms of hospital admissions, while some parts of the country could stay open for a longer period. Our framework is exportable to other countries and settings, and may be used to develop policies on subnational approach as a better strategic choice for controlling future epidemics. |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
English |
| ISSN: |
2050-084X |
| Relation: |
https://dspace.library.uu.nl/handle/1874/427547 |
| Availability: |
https://dspace.library.uu.nl/handle/1874/427547 |
| Rights: |
info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.229D95F7 |
| Database: |
BASE |