Several measures, including behavioral restrictions for individuals, have been taken throughout the world to control the spread of COVID-19. The aim of these measures is to prevent infected persons from coming into contact with susceptible persons. Since the behavioral restrictions for all citizens, such as city-wide lockdowns, were directly linked to the stagnation of economic activities, the assessment of such measures is crucial. In order to evaluate the effects of behavioral restrictions, we employed the broken-link model to compare the situation of COVID-19 in Shanghai, where a lockdown was implemented from March to June 2022, with the situation in Taiwan, where the spread of COVID-19 has been well controlled so far. The results show that the small link-connection probability was achieved by the substantial isolation of infected persons, including the lockdown measures. Although the strict measures for behavioral restrictions were effective to reduce the total number infected people, the daily reported cases per one million people followed the curve evaluated by the broken-link model. This result considers that infections are unavoidable for the population.
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Metropolitan Washington Council Govt, Dept Transportat Planning, Washington, DC 20002 USAMetropolitan Washington Council Govt, Dept Transportat Planning, Washington, DC 20002 USA
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Northeastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USANortheastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA
Davis, Jessica T.
Ajelli, Marco
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Bruno Kessler Fdn, Trento, ItalyNortheastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA
Ajelli, Marco
Gioannini, Corrado
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ISI Fdn, Turin, ItalyNortheastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA
Gioannini, Corrado
Litvinova, Maria
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ISI Fdn, Turin, ItalyNortheastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA
Litvinova, Maria
Merler, Stefano
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Bruno Kessler Fdn, Trento, ItalyNortheastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA
Merler, Stefano
Pastore y Piontti, Ana
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Northeastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USANortheastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA
Pastore y Piontti, Ana
Mu, Kunpeng
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Northeastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USANortheastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA
Mu, Kunpeng
Rossi, Luca
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ISI Fdn, Turin, ItalyNortheastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA
Rossi, Luca
Sun, Kaiyuan
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NIH, Fogarty Int Ctr, Bldg 10, Bethesda, MD 20892 USANortheastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA
Sun, Kaiyuan
Viboud, Cecile
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NIH, Fogarty Int Ctr, Bldg 10, Bethesda, MD 20892 USANortheastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA
Viboud, Cecile
Xiong, Xinyue
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Northeastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USANortheastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA
Xiong, Xinyue
Yu, Hongjie
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Fudan Univ, Sch Publ Hlth, Key Lab Publ Hlth Safety, Minist Educ, Shanghai, Peoples R ChinaNortheastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA
Yu, Hongjie
Halloran, M. Elizabeth
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Fred Hutchinson Canc Res Ctr, 1124 Columbia St, Seattle, WA 98104 USA
Univ Washington, Dept Biostat, Seattle, WA 98195 USANortheastern Univ, Lab Modeling Biol & Sociotech Syst, Boston, MA 02115 USA