Literature DB >> 33406102

Relaxation of social distancing restrictions: Model estimated impact on COVID-19 epidemic in Manitoba, Canada.

Leigh Anne Shafer1,2, Marcello Nesca2,3, Robert Balshaw3.   

Abstract

OBJECTIVES: The unprecedented worldwide social distancing response to COVID-19 resulted in a quick reversal of escalating case numbers. Recently, local governments globally have begun to relax social distancing regulations. Using the situation in Manitoba, Canada as an example, we estimated the impact that social distancing relaxation may have on the pandemic.
METHODS: We fit a mathematical model to empirically estimated numbers of people infected, recovered, and died from COVID-19 in Manitoba. We then explored the impact of social distancing relaxation on: (a) time until near elimination of COVID-19 (< one case per million), (b) time until peak prevalence, (c) proportion of the population infected within one year, (d) peak prevalence, and (e) deaths within one year.
RESULTS: Assuming a closed population, near elimination of COVID-19 in Manitoba could have been achieved in 4-6 months (by July or August) if there were no relaxation of social distancing. Relaxing to 15% of pre-COVID effective contacts may extend the local epidemic for more than two years (median 2.1). Relaxation to 50% of pre-COVID effective contacts may result in a peak prevalence of 31-38% of the population, within 3-4 months of initial relaxation.
CONCLUSION: Slight relaxation of social distancing may immensely impact the pandemic duration and expected peak prevalence. Only holding the course with respect to social distancing may have resulted in near elimination before Fall of 2020; relaxing social distancing to 15% of pre-COVID-19 contacts will flatten the epidemic curve but greatly extend the duration of the pandemic.

Entities:  

Year:  2021        PMID: 33406102     DOI: 10.1371/journal.pone.0244537

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  2 in total

1.  Using GAM functions and Markov-Switching models in an evaluation framework to assess countries' performance in controlling the COVID-19 pandemic.

Authors:  Abdinardo M B de Oliveira; Jane M Binner; Anandadeep Mandal; Logan Kelly; Gabriel J Power
Journal:  BMC Public Health       Date:  2021-11-27       Impact factor: 3.295

2.  The Effect of Socio-Demographic Factors in Health-Seeking Behaviors among Bangladeshi Residents during the First Wave of COVID-19.

Authors:  Taslin Jahan Mou; Khandaker Anika Afroz; Md Ahsanul Haq; Dilshad Jahan; Rahnuma Ahmad; Tariqul Islam; Kona Chowdhury; Santosh Kumar; Mohammed Irfan; Md Saiful Islam; Md Fokhrul Islam; Nihad Adnan; Mainul Haque
Journal:  Healthcare (Basel)       Date:  2022-03-04
  2 in total

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