Epidemic modelling and digital intervention strategies for infectious disease: a COVID-19 case study of three English cities
The emergence of the novel coronavirus and the resulting global pandemic has shown the importance of epidemic modelling and how sound, scientifically driven policies can aid in response efforts. In purely quantitative terms, an epidemic event can be considered as one of the most complex geospatial e...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2020
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| Online Access: | https://eprints.nottingham.ac.uk/63852/ |
| _version_ | 1848800065396670464 |
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| author | Khan, Tahsinur Rahman |
| author_facet | Khan, Tahsinur Rahman |
| author_sort | Khan, Tahsinur Rahman |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The emergence of the novel coronavirus and the resulting global pandemic has shown the importance of epidemic modelling and how sound, scientifically driven policies can aid in response efforts. In purely quantitative terms, an epidemic event can be considered as one of the most complex geospatial events to be modelled and make prediction about. However, mathematical and computational models have been applied in the past with success in understanding and tackling such events. In this report we will cover the two main approaches for epidemic modelling – mathematical and agent-based computational models and compare and contrast the results in the context of three English cities – Leicester, Bradford and Blackburn, that have been heavily impacted by the Covid-19 pandemic. We will also discuss some plans on future research directions on constructing a robust pandemic resiliency framework that can be deployed across local geographical regions to aid public health authorities deal with pandemic outbreaks. |
| first_indexed | 2025-11-14T20:45:38Z |
| format | Thesis (University of Nottingham only) |
| id | nottingham-63852 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:45:38Z |
| publishDate | 2020 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-638522025-02-28T15:07:37Z https://eprints.nottingham.ac.uk/63852/ Epidemic modelling and digital intervention strategies for infectious disease: a COVID-19 case study of three English cities Khan, Tahsinur Rahman The emergence of the novel coronavirus and the resulting global pandemic has shown the importance of epidemic modelling and how sound, scientifically driven policies can aid in response efforts. In purely quantitative terms, an epidemic event can be considered as one of the most complex geospatial events to be modelled and make prediction about. However, mathematical and computational models have been applied in the past with success in understanding and tackling such events. In this report we will cover the two main approaches for epidemic modelling – mathematical and agent-based computational models and compare and contrast the results in the context of three English cities – Leicester, Bradford and Blackburn, that have been heavily impacted by the Covid-19 pandemic. We will also discuss some plans on future research directions on constructing a robust pandemic resiliency framework that can be deployed across local geographical regions to aid public health authorities deal with pandemic outbreaks. 2020-12-11 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en arr https://eprints.nottingham.ac.uk/63852/1/Tahsinur_Khan_MRes_Report_Updated.pdf Khan, Tahsinur Rahman (2020) Epidemic modelling and digital intervention strategies for infectious disease: a COVID-19 case study of three English cities. MRes thesis, University of Nottingham. COVID-19 Coronavirus Epidemic modelling Mathematical models Agent-based computational models Public health response. |
| spellingShingle | COVID-19 Coronavirus Epidemic modelling Mathematical models Agent-based computational models Public health response. Khan, Tahsinur Rahman Epidemic modelling and digital intervention strategies for infectious disease: a COVID-19 case study of three English cities |
| title | Epidemic modelling and digital intervention strategies
for infectious disease: a COVID-19 case study of three
English cities |
| title_full | Epidemic modelling and digital intervention strategies
for infectious disease: a COVID-19 case study of three
English cities |
| title_fullStr | Epidemic modelling and digital intervention strategies
for infectious disease: a COVID-19 case study of three
English cities |
| title_full_unstemmed | Epidemic modelling and digital intervention strategies
for infectious disease: a COVID-19 case study of three
English cities |
| title_short | Epidemic modelling and digital intervention strategies
for infectious disease: a COVID-19 case study of three
English cities |
| title_sort | epidemic modelling and digital intervention strategies
for infectious disease: a covid-19 case study of three
english cities |
| topic | COVID-19 Coronavirus Epidemic modelling Mathematical models Agent-based computational models Public health response. |
| url | https://eprints.nottingham.ac.uk/63852/ |