Inhomogeneous spin excitations in weakly coupled spin-1/2 chains

(2019)

Authors:

L Shen, E Campillo, O Zaharko, P Steffens, M Boehm, K Beauvois, B Ouladdiaf, Z He, D Prabhakaran, AT Boothroyd, E Blackburn

Structural study of bismuth ferrite BiFeO3 by neutron total scattering and the reverse Monte Carlo method

Physical Review B American Physical Society (APS) 100:10 (2019) 104111

Authors:

Juan Du, Anthony E Phillips, Donna C Arnold, David A Keen, Matthew G Tucker, Martin T Dove

Magnetic structure and excitations of the topological semimetal YbMnBi$_2$

(2019)

Authors:

Jian-Rui Soh, Henrik Jacobsen, Bachir Ouladdiaf, Alexandre Ivanov, Andrea Piovano, Tim Tejsner, Zili Feng, Hongyuan Wang, Hao Su, Yanfeng Guo, Youguo Shi, Andrew T Boothroyd

Magnetic and electronic structure of Dirac semimetal candidate EuMnSb$_2$

(2019)

Authors:

J-R Soh, P Manuel, NMB Schröter, CJ Yi, D Prabhakaran, F Orlandi, YG Shi, AT Boothroyd

Measuring the impact of a mandatory province-wide vaccinate-or-mask policy on healthcare worker absenteeism in British Columbia, Canada.

Vaccine 37:30 (2019) 4008-4014

Authors:

Michelle Murti, Michael Otterstatter, Alison Orth, Robert Balshaw, Khalif Halani, Paul D Brown, Samar Hejazi, Darby Thompson, Sandra Allison, Aamir Bharmal, Meena Dawar, Dee Hoyano, Victoria Lee, Monika Naus, Sue Pollock, John Bevanda, Sandy Coughlin, John Fitzgerald, Dave Keen, Melanie Maracle, Stacy Sprague, Bonnie Henry

Abstract:

Objectives

Vaccinate-or-mask (VOM) policies aim to improve influenza vaccine coverage among healthcare workers (HCW) and reduce influenza-related illness among patients and staff. In 2012, British Columbia (BC) implemented a province-wide VOM influenza prevention policy. This study describes an evaluation of policy impacts on HCW absenteeism rates from before to after policy implementation.

Methods

Using payroll data from regional and provincial Health Authorities (HA), we assessed all-cause sick rates (sick time as a proportion of sick time and productive time) before (2007-2011, excluding 2009-2010) and after (2012-2017) policy implementation, and during influenza season (December 1-March 31) and non-influenza season (April 1-November 30). We used a two-part negative binomial hurdle model to calculate odds ratios (OR) of taking any sick time, relative rates (RR) of sick time taken, and predicted mean sick rates, adjusting for age group, sex, job type, job classification, HA, year and vaccine effectiveness.

Results

During influenza season, HCWs in the post-policy period were less likely to take any sick time (OR 0.989, 95%CI: 0.979-0.999) but had higher rates of sick time (RR 1.038, 95%CI: 1.030-1.045). However, during non-influenza season, HCWs in the post-policy period were more likely to take any sick time (OR 1.015, 95%CI: 1.008-1.022) but had lower rates of sick time (RR 0.971, 95%CI: 0.966-0.976). There was an overall increase in predicted mean sick rate from pre to post-policy in influenza season (4.392% to 4.508%) and non-influenza season (3.815% to 3.901%).

Conclusions

The observed year-round increase in sick rates from pre-to-post policy was likely influenced by other factors; however, opposite trends in how HCWs took sick time in the influenza and non-influenza seasons may reflect policy influences and need further research to explore reasons for these differences.