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Implementation of mobility restrictions Interest1 #701148 The implementation of mobility restrictions, in combination with vaccination and non-pharmaceutical interventions, to meet the needs of small communities during a pandemic. | - During the pandemic, no clear criteria for the formation or dissolution of the Atlantic bubble was established, and while there may have been other communities in Canada, particularly remote communities, including First Nations, and border communities, where quarantine-free travel zones were warranted, the conditions for the formation of such zones, including vaccination levels, and the best approaches to NPI implementation within the quarantine-free zones has not been resolved. This research will serve the needs of Atlantic Canada and other small communities, including First Nations.
- Co-Project Investigators: Amy Hurford (Memorial University of Newfoundland), James Watmough (University of New Brunswick), Matthew Betti (Mount Allison University) and Monica Cojocaru (University of Guelph)
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+Citations (2) - CitationsAdd new citationList by: CiterankMapLink[1] Travel restrictions and the Omicron variant
Author: Amy Hurford, Maria M. Martignoni, Paul Tupper, Caroline Colijn, Sarah P. Otto, Christopher McCabe, David J.D. Earn Publication date: 8 December 2021 Cited by: David Price 4:40 PM 30 January 2023 GMT URL:
| Excerpt / Summary Conclusion: Travel restrictions can be warranted, especially when resource capacity is low or a new variant is threatening, and time is needed to gain information. Their implementation should be evidence-based, should enable a sense of global solidarity, promote international cooperation, and guarantee inclusion. If implemented, the need for travel restrictions should be continually reassessed. Once more is known regarding the epidemiological properties of the Omicron variant, the evidence should inform whether travel restrictions need to be continued or can be released. |
Link[2] Importation models for travel-related SARS-CoV-2 cases reported in Newfoundland and Labrador during the COVID-19 pandemic
Author: Zahra Mohammadi, Monica Cojocaru, Julien Arino, Amy Hurford Publication date: 12 June 2023 Publication info: medRxiv 2023.06.08.23291136 Cited by: David Price 8:48 PM 27 November 2023 GMT
Citerank: (7) 679752Amy HurfordAmy Hurford is an Associate Professor jointly appointed in the Department of Biology and the Department of Mathematics and Statistics at Memorial University of Newfoundland and Labrador. 10019D3ABAB, 679817Julien ArinoProfessor and Faculty of Science Research Chair in Fundamental Science with the Department of Mathematics at the University of Manitoba.10019D3ABAB, 701037MfPH – Publications144B5ACA0, 701624Zahra MohammadiPostdoctoral Fellow, Mathematics for Public health, Fields Institute, Department of Mathematics and Statistics, University of Guelph, Memorial University of Newfoundland.10019D3ABAB, 703963Mobility859FDEF6, 704045Covid-19859FDEF6, 715762Monica CojocaruProfessor in the Mathematics & Statistics Department at the University of Guelph. 10019D3ABAB URL: DOI: https://doi.org/10.1101/2023.06.08.23291136
| Excerpt / Summary [medRxiv, 12 June 2023]
During the COVID-19 pandemic there was substantial variation between countries in the severity of the travel restrictions implemented suggesting a need for better importation models. Data to evaluate the accuracy of importation models is available for the Canadian province of Newfoundland and Labrador (NL; September 2020 to June 2021) as arriving travelers were frequently tested for SARS-CoV-2 and travel-related cases were reported. Travel volume to NL was estimated from flight data, and travel declaration forms completed at entry to Canada, and at entry to NL during the pandemic. We found that during the pandemic travel to NL decreased by 82%, the percentage of travelers arriving from Québec decreased (from 14 to 4%), and from Alberta increased (from 7 to 17%). We derived and validated an epidemiological model predicting the number of travelers testing positive for SARS-CoV-2 after arrival in NL, but found that statistical models with less description of SARS-CoV-2 epidemiology, and with parameters fitted from the validation data more accurately predicted the daily number of travel-related cases reported in NL originating from Canada (R2 = 0.55, ΔAICc = 137). Our results highlight the importance of testing travelers and reporting travel-related cases as these data are needed for importation models to support public health decisions. |
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