tetano
Editor, Senior Moderator
BMC Public Health
. 2022 Aug 22;22(1):1594.
doi: 10.1186/s12889-022-13921-3.
Human behaviour, NPI and mobility reduction effects on COVID-19 transmission in different countries of the world
Zahra Mohammadi[SUP] #[/SUP][SUP] 1 [/SUP], Monica Gabriela Cojocaru[SUP] #[/SUP][SUP] 2 [/SUP], Edward Wolfgang Thommes[SUP] #[/SUP][SUP] 2 3 [/SUP]
Affiliations
Abstract
Background: The outbreak of Coronavirus disease, which originated in Wuhan, China in 2019, has affected the lives of billions of people globally. Throughout 2020, the reproduction number of COVID-19 was widely used by decision-makers to explain their strategies to control the pandemic.
Methods: In this work, we deduce and analyze both initial and effective reproduction numbers for 12 diverse world regions between February and December of 2020. We consider mobility reductions, mask wearing and compliance with masks, mask efficacy values alongside other non-pharmaceutical interventions (NPIs) in each region to get further insights in how each of the above factored into each region's SARS-COV-2 transmission dynamic.
Results: We quantify in each region the following reductions in the observed effective reproduction numbers of the pandemic: i) reduction due to decrease in mobility (as captured in Google mobility reports); ii) reduction due to mask wearing and mask compliance; iii) reduction due to other NPI's, over and above the ones identified in i) and ii).
Conclusion: In most cases mobility reduction coming from nationwide lockdown measures has helped stave off the initial wave in countries who took these types of measures. Beyond the first waves, mask mandates and compliance, together with social-distancing measures (which we refer to as other NPI's) have allowed some control of subsequent disease spread. The methodology we propose here is novel and can be applied to other respiratory diseases such as influenza or RSV.
Keywords: Compliance & efficacy; Initial and effective reproduction number; Mask: adoption; Mobility; Pandemic control; SEIRL model.
. 2022 Aug 22;22(1):1594.
doi: 10.1186/s12889-022-13921-3.
Human behaviour, NPI and mobility reduction effects on COVID-19 transmission in different countries of the world
Zahra Mohammadi[SUP] #[/SUP][SUP] 1 [/SUP], Monica Gabriela Cojocaru[SUP] #[/SUP][SUP] 2 [/SUP], Edward Wolfgang Thommes[SUP] #[/SUP][SUP] 2 3 [/SUP]
Affiliations
- PMID: 35996132
- DOI: 10.1186/s12889-022-13921-3
Abstract
Background: The outbreak of Coronavirus disease, which originated in Wuhan, China in 2019, has affected the lives of billions of people globally. Throughout 2020, the reproduction number of COVID-19 was widely used by decision-makers to explain their strategies to control the pandemic.
Methods: In this work, we deduce and analyze both initial and effective reproduction numbers for 12 diverse world regions between February and December of 2020. We consider mobility reductions, mask wearing and compliance with masks, mask efficacy values alongside other non-pharmaceutical interventions (NPIs) in each region to get further insights in how each of the above factored into each region's SARS-COV-2 transmission dynamic.
Results: We quantify in each region the following reductions in the observed effective reproduction numbers of the pandemic: i) reduction due to decrease in mobility (as captured in Google mobility reports); ii) reduction due to mask wearing and mask compliance; iii) reduction due to other NPI's, over and above the ones identified in i) and ii).
Conclusion: In most cases mobility reduction coming from nationwide lockdown measures has helped stave off the initial wave in countries who took these types of measures. Beyond the first waves, mask mandates and compliance, together with social-distancing measures (which we refer to as other NPI's) have allowed some control of subsequent disease spread. The methodology we propose here is novel and can be applied to other respiratory diseases such as influenza or RSV.
Keywords: Compliance & efficacy; Initial and effective reproduction number; Mask: adoption; Mobility; Pandemic control; SEIRL model.