Suchergebnisse

This study was funded by grants from the Eulji University (grant numbers ESCAPE project FP7-ENV-2007-1-211250, DENAMIC project FP7-ENV-2011-282957, HELIX project FP7-ENV-2012-308333, and MEDALL project HEALTH.2010.2.4.5-1), from the Spanish Instituto de Salud Carlos III (grant numbers Red INMA G03/176; CB06/02/0041; PI03/1615 incl. FEDER funds, PI04/1112 incl. FEDER funds, PI041436, PI04/1509 incl. FEDER funds, PI04/1931 incl. FEDER funds, PI042018 incl. FEDER funds, PI05/1079 incl. FEDER funds, PI05/1052 incl. FEDER funds, FIS-PI06/0867, PI06/1213 incl. FEDER funds, PI07/0314 incl. FEDER funds, PI081151 incl. FEDER funds, FIS-PI09/00090, PI09/02311 incl. FEDER funds, PI09/02647 incl. FEDER funds, PI11/01007 incl. FEDER funds, PI11/02591 incl. FEDER funds, PI11/02038 incl. FEDER funds, PI13/1944 incl. FEDER funds, PI13/2032 incl. FEDER funds, PI13/02429 incl. FEDER funds, PI14/00891 incl. FEDER funds, PI14/01687 incl. FEDER funds, PI15/00118 incl. FEDER funds, PI16/1288 incl. FEDER funds, and PI17/00663 incl. FEDER funds, PI18/00547 incl. FEDER funds, PI18/00909 incl. FEDER funds; CP11/00178, CP15/00025, and CPII16/00051; MS13/00054 incl. FEDER funds), CIBERESP, Department of Health of the Basque Government (grant numbers 2005111093, 2013111089), Generalitat de Catalunya-CIRIT (grant numbers 1999SGR 00241), Generalitat Valenciana: FISABIO (grant numbers UGP 15-230, UGP-15-244, and UGP-15-249), Provincial Government of Gipuzkoa (grant number DFG06/002), Alicia Koplowitz Foundation 2017, Fundació La marató de TV3 (grant number090430), Obra Social Cajastur/Fundación Liberbank, Universidad de Oviedo, and annual agreements with the municipalities of the study area of the Gipuzkoa sub-cohort (Zumarraga, Urretxu , Legazpi, Azkoitia, Azpeitia and Beasain). ISGlobal is a member of the Agency for the Research Centres of Catalonia (CERCA) Programme, Generalitat de Catalunya.

AbstractThere is a vast literature evaluating the empirical association between stay-at-home policies and crime during the COVID-19 pandemic. However, these academic efforts have primarily focused on the effects within specific cities or regions rather than adopting a cross-national comparative approach. Moreover, this body of literature not only generally lacks causal estimates but also has overlooked possible heterogeneities across different levels of stringency in mobility restrictions. This paper exploits the spatial and temporal variation of government responses to the pandemic in 45 cities across five continents to identify the causal impact of strict lockdown policies on the number of offenses reported to local police. We find that cities that implemented strict lockdowns experienced larger declines in some crime types (robbery, burglary, vehicle theft) but not others (assault, theft, homicide). This decline in crime rates attributed to more stringent policy responses represents only a small proportion of the effects documented in the literature.

Post-traumatic stress disorder (PTSD) impacts many veterans and active duty soldiers, but diagnosis can be problematic due to biases in self-disclosure of symptoms, stigma within military populations, and limitations identifying those at risk. Prior studies suggest that PTSD may be a systemic illness, affecting not just the brain, but the entire body. Therefore, disease signals likely span multiple biological domains, including genes, proteins, cells, tissues, and organism-level physiological changes. Identification of these signals could aid in diagnostics, treatment decision-making, and risk evaluation. In the search for PTSD diagnostic biomarkers, we ascertained over one million molecular, cellular, physiological, and clinical features from three cohorts of male veterans. In a discovery cohort of 83 warzone-related PTSD cases and 82 warzone-exposed controls, we identified a set of 343 candidate biomarkers. These candidate biomarkers were selected from an integrated approach using (1) data-driven methods, including Support Vector Machine with Recursive Feature Elimination and other standard or published methodologies, and (2) hypothesis-driven approaches, using previous genetic studies for polygenic risk, or other PTSD-related literature. After reassessment of ~30% of these participants, we refined this set of markers from 343 to 28, based on their performance and ability to track changes in phenotype over time. The final diagnostic panel of 28 features was validated in an independent cohort (26 cases, 26 controls) with good performance (AUC = 0.80, 81% accuracy, 85% sensitivity, and 77% specificity). The identification and validation of this diverse diagnostic panel represents a powerful and novel approach to improve accuracy and reduce bias in diagnosing combat-related PTSD.