Evaluating the effectiveness of nonpharmaceutical interventions (NPIs) to mitigate the COVID-19 pandemic is crucial to maximize the epidemic containment while minimizing the social and economic impact of these measures. However, this endeavor crucially relies on surveillance data publicly released by health authorities that can hide several limitations. In this article, we quantify the impact of inaccurate data on the estimation of the time-varying reproduction number $ R(t) $ , a pivotal quantity to gauge the variation of the transmissibility originated by the implementation of different NPIs. We focus on Italy and Spain, two European countries among the most severely hit by the COVID-19 pandemic. For these two countries, we highlight several biases of case-based surveillance data and temporal and spatial limitations in the data regarding the implementation of NPIs. We also demonstrate that a nonbiased estimation of $ R(t) $ could have had direct consequences on the decisions taken by the Spanish and Italian governments during the first wave of the pandemic. Our study shows that extreme care should be taken when evaluating intervention policies through publicly available epidemiological data and call for an improvement in the process of COVID-19 data collection, management, storage, and release. Better data policies will allow a more precise evaluation of the effects of containment measures, empowering public health authorities to take more informed decisions.

An influenza pandemic can overwhelm the capacities of hospitals, clinics, nursing facilities, and emergency services. The likelihood is that most of the individuals who are stricken will be cared for at home, and there is strong evidence that in-home caregivers bear a disproportionate risk of becoming infected. We reviewed the scientific literature after 2000 to identify steps that in-home caregivers can take to reduce the chances that they and other household members will become infected in the home. Personal hygiene, common masks, and technologies including air filters and UV light each offer incremental benefits, and in combination are expected to reduce a portion of the risk that household members face when caring for a member who has become infected. In pandemics and even seasonal epidemics, seemingly small steps can literally mean the difference between life and death, especially for in-home caregivers.

(Disaster Med Public Health Preparedness. 2011;5:266–271)