RESUMO
The COVID-19 pandemic cast a dramatic spotlight on the use of data as a fundamental component of good decision-making. Evaluating and comparing alternative policies required information on concurrent infection rates and insightful analysis to project them into the future. Statisticians in Israel were involved in these processes early in the pandemic in some silos as an ad-hoc unorganized effort. Informal discussions within the statistical community culminated in a roundtable, organized by three past presidents of the Israel Statistical Association, and hosted by the Samuel Neaman Institute in April 2021. The meeting was designed to provide a forum for exchange of views on the profession's role during the COVID-19 pandemic, and more generally, on its influence in promoting evidence-based public policy. This paper builds on the insights and discussions that emerged during the roundtable meeting and presents a general framework, with recommendations, for involving statisticians and statistics in decision-making.
Assuntos
COVID-19 , Humanos , Israel/epidemiologia , Pandemias/prevenção & controle , Política PúblicaRESUMO
This study retested effects of a Memory Structuring Intervention (MSI) and the moderating role of gender in relation to posttraumatic stress disorder (PTSD) symptoms. Thirty-four traffic accident victims with high pulse rates were randomly assigned to MSI or supportive listening (control) phone conversations soon after accidents. Based on converging clinical and neuroscience research, the MSI taught chronological organization, labeling emotions/sensations, and describing causality. PTSD symptoms were assessed 3 months later. No overall group differences were found. However, a group by gender interaction revealed that, for women, the MSI was associated with less PTSD symptoms than the control treatment, while the opposite pattern was seen in men. Limitations and possible explanations for these findings are discussed.