TY - JOUR T1 - Face mask mandates and risk compensation: an analysis of mobility data during the COVID-19 pandemic in Bangladesh JF - BMJ Global Health JO - BMJ Global Health DO - 10.1136/bmjgh-2021-006803 VL - 7 IS - 1 SP - e006803 AU - Zia Wadud AU - Sheikh Mokhlesur Rahman AU - Annesha Enam Y1 - 2022/01/01 UR - http://gh.bmj.com/content/7/1/e006803.abstract N2 - Introduction Concerns have been raised about the potential for risk compensation in the context of mask mandates for mitigating the spread of COVID-19. However, the debate about the presence or absence of risk compensation for universal mandatory mask-wearing rules—especially in the context of COVID-19—is not settled yet.Methods Mobility is used as a proxy for risky behaviour before and after the mask mandates. Two sets of regressions are estimated to decipher (any) risk-compensating effect of mask mandate in Bangladesh. These include: (1) intervention regression analysis of daily activities at six types of locations, using pre-mask-mandate and post-mandate data; and (2) multiple regression analysis of daily new COVID-19 cases on daily mobility (lagged) to establish mobility as a valid proxy.Results (1) Statistically, mobility increased at all five non-residential locations, while home stays decreased after the mask mandate was issued; (2) daily mobility had a statistically significant association on daily new cases (with around 10 days of lag). Both significances were calculated at 95% confidence level.Conclusion Community mobility had increased (and stay at home decreased) after the mandatory mask-wearing rule, and given mobility is associated with increases in new COVID-19 cases, there is evidence of risk compensation effect of the mask mandate—at least partially—in Bangladesh.Both mobility and COVID-19 infections data are available in public, open access repositories. The rest is available upon reasonable request. ER -