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Understanding the role of mask-wearing during COVID-19 on the island of Ireland
Nicola Fitz-Simon; John Ferguson; Alberto Alvarez; Mircea T. Sofonea; Tsukushi Kamiya.
Afiliación
  • Nicola Fitz-Simon; National University of Ireland Galway
  • John Ferguson; NUI Galway
  • Alberto Alvarez; NUI Galway
  • Mircea T. Sofonea; Univ. Montpellier
  • Tsukushi Kamiya; College de France
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-22272946
ABSTRACT
BackgroundNon-pharmaceutical interventions (NPI) play a key role in managing epidemics, yet it is challenging to evaluate their impacts on disease spread and outcomes. MethodsTo estimate the effect of a mask-wearing intervention to mitigate the spread of SARS-CoV-2 on the island of Ireland, we focused on the potential for interindividual infectious contact over time as the outcome. This is difficult to measure directly; in a companion paper we estimated it using a multi-strain epidemiological model. We used data on mask-wearing and mobility in both Northern Ireland (NI) and the Republic of Ireland (ROI) to predict independently the estimated infectious contact over time. We made counterfactual predictions of infectious contact rates and hospitalisations under a hypothetical intervention where 90% of the population were wearing masks during early 2020, when in reality few people were wearing masks in public; this was mandated in both jurisdictions on 10th August 2020. ResultsThere were 1601 hospitalisations with COVID-19 in NI between 12th March and 10th August 2020, and 1521 in ROI between 3rd April and 10th August 2020. Under the counterfactual mask-wearing scenario, we estimated 512 (95% CI 400, 730) hospitalisations in NI, and 344 (95% CI 266, 526) in ROI, during the same periods. ConclusionsWe have estimated a large effect of population mask-wearing on COVID-19 hospitalisations. This could be partly due to other factors that were also changing over time.
Licencia
cc_by_nc_nd
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Experimental_studies / Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Experimental_studies / Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Preprint