In many jurisdictions, public health authorities have implemented travel restrictions to reduce coronavirus disease 2019 (COVID-19) spread. Policies that restrict travel within countries have been implemented, but the impact of these restrictions is not well known. On 4 May 2020, Newfoundland and Labrador (NL) implemented travel restrictions such that non-residents required exemptions to enter the province. We fit a stochastic epidemic model to data describing the number of active COVID-19 cases in NL from 14 March to 26 June. We predicted possible outbreaks over nine weeks, with and without the travel restrictions, and for contact rates 40-70% of pre-pandemic levels. Our results suggest that the travel restrictions reduced the mean number of clinical COVID-19 cases in NL by 92%. Furthermore, without the travel restrictions there is a substantial risk of very large outbreaks. Using epidemic modelling, we show how the NL COVID-19 outbreak could have unfolded had the travel restrictions not been implemented. Both physical distancing and travel restrictions affect the local dynamics of the epidemic. Our modelling shows that the travel restrictions are a plausible reason for the few reported COVID-19 cases in NL after 4 May.
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South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou, Peoples R ChinaSouth China Univ Technol, Sch Civil Engn & Transportat, Guangzhou, Peoples R China
Liu, Jianrong
Cao, Qiongwen
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South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou, Peoples R ChinaSouth China Univ Technol, Sch Civil Engn & Transportat, Guangzhou, Peoples R China
Cao, Qiongwen
Pei, Mingyang
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Chalmers Univ Technol, Dept Architecture & Civil Engn, SE-41296 Gothenburg, SwedenSouth China Univ Technol, Sch Civil Engn & Transportat, Guangzhou, Peoples R China
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MIT, Dept Phys, 77 Massachusetts Ave, Cambridge, MA 02139 USA
New England Complex Syst Inst, 277 Broadway, Cambridge, MA 02139 USAMIT, Dept Phys, 77 Massachusetts Ave, Cambridge, MA 02139 USA
Siegenfeld, Alexander F.
Bar-Yam, Yaneer
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New England Complex Syst Inst, 277 Broadway, Cambridge, MA 02139 USAMIT, Dept Phys, 77 Massachusetts Ave, Cambridge, MA 02139 USA
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North China Elect Power Univ, Dept Math & Phys, Baoding, Peoples R ChinaNorth China Elect Power Univ, Dept Math & Phys, Baoding, Peoples R China
Kong, Lingcai
Hu, Yi
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Fudan Univ, Dept Epidemiol & Biostat, Shanghai, Peoples R ChinaNorth China Elect Power Univ, Dept Math & Phys, Baoding, Peoples R China
Hu, Yi
Wang, Qiang
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Southeast Univ, Sch Publ Hlth, Key Lab Environm Med Engn, Nanjing, Peoples R ChinaNorth China Elect Power Univ, Dept Math & Phys, Baoding, Peoples R China
Wang, Qiang
Chen, Xinda
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North China Elect Power Univ, Dept Math & Phys, Baoding, Peoples R ChinaNorth China Elect Power Univ, Dept Math & Phys, Baoding, Peoples R China
Chen, Xinda
Yao, Tong
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North China Elect Power Univ, Dept Math & Phys, Baoding, Peoples R ChinaNorth China Elect Power Univ, Dept Math & Phys, Baoding, Peoples R China
Yao, Tong
Wang, Yu
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Peking Univ, Dept Global Hlth, Beijing, Peoples R ChinaNorth China Elect Power Univ, Dept Math & Phys, Baoding, Peoples R China
Wang, Yu
Jin, Hui
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Southeast Univ, Sch Publ Hlth, Key Lab Environm Med Engn, Nanjing, Peoples R ChinaNorth China Elect Power Univ, Dept Math & Phys, Baoding, Peoples R China
Jin, Hui
Fan, Lijun
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Southeast Univ, Sch Publ Hlth, Key Lab Environm Med Engn, Nanjing, Peoples R ChinaNorth China Elect Power Univ, Dept Math & Phys, Baoding, Peoples R China
Fan, Lijun
Du, Wei
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Southeast Univ, Sch Publ Hlth, Key Lab Environm Med Engn, Nanjing, Peoples R ChinaNorth China Elect Power Univ, Dept Math & Phys, Baoding, Peoples R China