Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic [version 1; peer review: 2 approved]
Background The COVID-19 pandemic both relied and placed significant burdens on the experts involved from research and public health sectors. The sustained high pressure of a pandemic on responders, such as healthcare workers, can lead to lasting psychological impacts including acute stress disorder,...
| 發表在: | Wellcome Open Research |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
| 格式: | Article |
| 語言: | 英语 |
| 出版: |
Wellcome
2024-01-01
|
| 主題: | |
| 在線閱讀: | https://wellcomeopenresearch.org/articles/9-12/v1 |
| _version_ | 1850366566553616384 |
|---|---|
| author | Carl A B Pearson Anne Cori Christopher Overton Sabine van Elsland Christopher I Jarvis Edward M Hill Dale Weston Edward Knock Kiesha Prem Sam Abbott Joel Hellewell Sebastian Funk Elizabeth Fearon Julián Villabona Arenas W John Edmunds Michelle Kendall Li Pi Nicholas Davies Neil Ferguson Timothy Russell Rosalind M Eggo Yang Liu Adam Kucharski Marc Baguelin Katharine Sherratt Emily Nightingale Anna C Carnegie |
| author_facet | Carl A B Pearson Anne Cori Christopher Overton Sabine van Elsland Christopher I Jarvis Edward M Hill Dale Weston Edward Knock Kiesha Prem Sam Abbott Joel Hellewell Sebastian Funk Elizabeth Fearon Julián Villabona Arenas W John Edmunds Michelle Kendall Li Pi Nicholas Davies Neil Ferguson Timothy Russell Rosalind M Eggo Yang Liu Adam Kucharski Marc Baguelin Katharine Sherratt Emily Nightingale Anna C Carnegie |
| author_sort | Carl A B Pearson |
| collection | DOAJ |
| container_title | Wellcome Open Research |
| description | Background The COVID-19 pandemic both relied and placed significant burdens on the experts involved from research and public health sectors. The sustained high pressure of a pandemic on responders, such as healthcare workers, can lead to lasting psychological impacts including acute stress disorder, post-traumatic stress disorder, burnout, and moral injury, which can impact individual wellbeing and productivity. Methods As members of the infectious disease modelling community, we convened a reflective workshop to understand the professional and personal impacts of response work on our community and to propose recommendations for future epidemic responses. The attendees represented a range of career stages, institutions, and disciplines. This piece was collectively produced by those present at the session based on our collective experiences. Results Key issues we identified at the workshop were lack of institutional support, insecure contracts, unequal credit and recognition, and mental health impacts. Our recommendations include rewarding impactful work, fostering academia-public health collaboration, decreasing dependence on key individuals by developing teams, increasing transparency in decision-making, and implementing sustainable work practices. Conclusions Despite limitations in representation, this workshop provided valuable insights into the UK COVID-19 modelling experience and guidance for future public health crises. Recognising and addressing the issues highlighted is crucial, in our view, for ensuring the effectiveness of epidemic response work in the future. |
| format | Article |
| id | doaj-art-a344f96cc2b942b59dccc92d2f68f73e |
| institution | Directory of Open Access Journals |
| issn | 2398-502X |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wellcome |
| record_format | Article |
| spelling | doaj-art-a344f96cc2b942b59dccc92d2f68f73e2025-08-19T23:03:09ZengWellcomeWellcome Open Research2398-502X2024-01-01910.12688/wellcomeopenres.19601.121712Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic [version 1; peer review: 2 approved]Carl A B Pearson0https://orcid.org/0000-0003-0701-7860Anne Cori1Christopher Overton2Sabine van Elsland3https://orcid.org/0000-0003-0775-7463Christopher I Jarvis4Edward M Hill5https://orcid.org/0000-0002-2992-2004Dale Weston6Edward Knock7Kiesha Prem8https://orcid.org/0000-0003-0528-798XSam Abbott9https://orcid.org/0000-0001-8057-8037Joel Hellewell10Sebastian Funk11https://orcid.org/0000-0002-2842-3406Elizabeth Fearon12Julián Villabona Arenas13W John Edmunds14Michelle Kendall15Li Pi16https://orcid.org/0000-0001-7818-408XNicholas Davies17Neil Ferguson18Timothy Russell19https://orcid.org/0000-0001-5610-6080Rosalind M Eggo20Yang Liu21https://orcid.org/0000-0002-9368-0425Adam Kucharski22Marc Baguelin23Katharine Sherratt24https://orcid.org/0000-0003-2049-3423Emily Nightingale25https://orcid.org/0000-0002-9265-1841Anna C Carnegie26https://orcid.org/0000-0002-6385-7795Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UKAll Hazards Intelligence, Data Analytics and Surveillance, UK Health Security Agency, London, UKMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UKCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKWarwick Mathematics Institute and The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry, UKEmergency Response Department Science & Technology Behavioural Science, UK Health Security Agency, London, UKMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UKCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UKCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKInstitute for Global Health, University College London, London, UKCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKWarwick Mathematics Institute and The Zeeman Institute for Systems Biology & Infectious Disease Epidemiology Research, University of Warwick, Coventry, UKBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UKCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UKCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene & Tropical Medicine, London, UKBackground The COVID-19 pandemic both relied and placed significant burdens on the experts involved from research and public health sectors. The sustained high pressure of a pandemic on responders, such as healthcare workers, can lead to lasting psychological impacts including acute stress disorder, post-traumatic stress disorder, burnout, and moral injury, which can impact individual wellbeing and productivity. Methods As members of the infectious disease modelling community, we convened a reflective workshop to understand the professional and personal impacts of response work on our community and to propose recommendations for future epidemic responses. The attendees represented a range of career stages, institutions, and disciplines. This piece was collectively produced by those present at the session based on our collective experiences. Results Key issues we identified at the workshop were lack of institutional support, insecure contracts, unequal credit and recognition, and mental health impacts. Our recommendations include rewarding impactful work, fostering academia-public health collaboration, decreasing dependence on key individuals by developing teams, increasing transparency in decision-making, and implementing sustainable work practices. Conclusions Despite limitations in representation, this workshop provided valuable insights into the UK COVID-19 modelling experience and guidance for future public health crises. Recognising and addressing the issues highlighted is crucial, in our view, for ensuring the effectiveness of epidemic response work in the future.https://wellcomeopenresearch.org/articles/9-12/v1modelling COVID-19 pandemic responseeng |
| spellingShingle | Carl A B Pearson Anne Cori Christopher Overton Sabine van Elsland Christopher I Jarvis Edward M Hill Dale Weston Edward Knock Kiesha Prem Sam Abbott Joel Hellewell Sebastian Funk Elizabeth Fearon Julián Villabona Arenas W John Edmunds Michelle Kendall Li Pi Nicholas Davies Neil Ferguson Timothy Russell Rosalind M Eggo Yang Liu Adam Kucharski Marc Baguelin Katharine Sherratt Emily Nightingale Anna C Carnegie Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic [version 1; peer review: 2 approved] modelling COVID-19 pandemic response eng |
| title | Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic [version 1; peer review: 2 approved] |
| title_full | Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic [version 1; peer review: 2 approved] |
| title_fullStr | Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic [version 1; peer review: 2 approved] |
| title_full_unstemmed | Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic [version 1; peer review: 2 approved] |
| title_short | Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the COVID-19 pandemic [version 1; peer review: 2 approved] |
| title_sort | improving modelling for epidemic responses reflections from members of the uk infectious disease modelling community on their experiences during the covid 19 pandemic version 1 peer review 2 approved |
| topic | modelling COVID-19 pandemic response eng |
| url | https://wellcomeopenresearch.org/articles/9-12/v1 |
| work_keys_str_mv | AT carlabpearson improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT annecori improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT christopheroverton improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT sabinevanelsland improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT christopherijarvis improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT edwardmhill improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT daleweston improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT edwardknock improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT kieshaprem improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT samabbott improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT joelhellewell improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT sebastianfunk improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT elizabethfearon improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT julianvillabonaarenas improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT wjohnedmunds improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT michellekendall improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT lipi improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT nicholasdavies improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT neilferguson improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT timothyrussell improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT rosalindmeggo improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT yangliu improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT adamkucharski improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT marcbaguelin improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT katharinesherratt improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT emilynightingale improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved AT annaccarnegie improvingmodellingforepidemicresponsesreflectionsfrommembersoftheukinfectiousdiseasemodellingcommunityontheirexperiencesduringthecovid19pandemicversion1peerreview2approved |
