Modeling the Effectiveness of COVID-19 Restrictions
Published:
During the second wave of COVID-19 in Spain (September 2020 to May 2021), health authorities faced repeated decisions about which activity restrictions to tighten and which to relax. These choices required a quantitative understanding of how different types of measures affected transmission, under conditions of substantial collinearity and rapidly changing data.
The study compiled detailed provincial and municipal data on restrictions across nine areas of activity, including indoor hospitality, cultural events, and social gatherings, and constructed a daily restriction intensity index for each category. Statistical modeling linked changes in this index to weekly changes in transmission. Results showed that increasing overall restriction intensity by 34% was associated with a 22% reduction in transmission within one week.
I contributed to data processing and coding, converting documented restriction measures into structured time-series variables compatible with the statistical framework. The work was carried out within the Spanish Committee of Mathematics initiative “Acción Matemática contra el Coronavirus,” which brought together four major Spanish mathematical societies to support public health decision-making. All collected data were made publicly available. The study was published in Frontiers in Public Health (Q1).