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Abstract Despite the scientific consensus concerning the current causes and future effects of anthropogenic global warming, there has been little to no improvement in public opinion, attitudes, or behavior related to its mitigation. This article examines how different information conveyance strategies affect belief in global warming. Three experiments reveal that a fundamental understanding of the underlying mechanism of global warming—the greenhouse gas effect—is integral to belief in the existence of global warming. Specifically, the current research demonstrates that persuasive messaging incorporating an explanation of the mechanism (versus consequences) underlying global warming leads to belief change (study 1); that this effect is moderated by political orientation, such that the effect of mechanism-understanding on global warming belief is greater for conservatives (study 1, 2, and 3); that understanding of the mechanism underlying global warming affects willingness to engage in sustainable activities and buying socially conscious products (study 2); and that the effect persists over time and can influence actual donation behavior (study 3). Social, public policy, and marketing implications for this strategy are discussed.

BACKGROUND: Following the regional outbreak in China, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread all over the world, presenting the healthcare systems with huge challenges worldwide. In Germany the coronavirus diseases 2019 (COVID-19) pandemic has resulted in a slowly growing demand for health care with a sudden occurrence of regional hotspots. This leads to an unpredictable situation for many hospitals, leaving the question of how many bed resources are needed to cope with the surge of COVID-19 patients. OBJECTIVE: In this study we created a simulation-based prognostic tool that provides the management of the University Hospital of Augsburg and the civil protection services with the necessary information to plan and guide the disaster response to the ongoing pandemic. Especially the number of beds needed on isolation wards and intensive care units (ICU) are the biggest concerns. The focus should lie not only on the confirmed cases as the patients with suspected COVID-19 are in need of the same resources. MATERIAL AND METHODS: For the input we used the latest information provided by governmental institutions about the spreading of the disease, with a special focus on the growth rate of the cumulative number of cases. Due to the dynamics of the current situation, these data can be highly variable. To minimize the influence of this variance, we designed distribution functions for the parameters growth rate, length of stay in hospital and the proportion of infected people who need to be hospitalized in our area of responsibility. Using this input, we started a Monte Carlo simulation with 10,000 runs to predict the range of the number of hospital beds needed within the coming days and compared it with the available resources. RESULTS: Since 2 February 2020 a total of 306 patients were treated with suspected or confirmed COVID-19 at this university hospital. Of these 84 needed treatment on the ICU. With the help of several simulation-based forecasts, the required ICU and normal bed ...

Objective: To investigate changes in maternity and neonatal unit policies towards extremely preterm infants (EPTIs) between 2003 and 2012, and concurrent trends in their mortality and morbidity in ten European regions. Design: Population-based cohort studies in 2003 (MOSAIC study) and 2011/2012 (EPICE study) and questionnaires from hospitals. Setting: 70 hospitals in ten European regions. Population: Infants born at <27 weeks of gestational age (GA) in hospitals participating in both the MOSAIC and EPICE studies (1240 in 2003, 1293 in 2011/2012). Methods: We used McNemar's Chi2 test, paired t-tests and conditional logistic regression for comparisons over time. Main outcomes measures: Reported policies, mortality and morbidity of EPTIs. Results: The lowest GA at which maternity units reported performing a caesarean section for acute distress of a singleton non-malformed fetus decreased from an average of 24.7 to 24.1 weeks (P < 0.01) when parents were in favour of active management, and 26.1 to 25.2 weeks (P = 0.01) when parents were against. Units reported that neonatologists were called more often for spontaneous deliveries starting at 22 weeks GA in 2012 and more often made decisions about active resuscitation alone, rather than in multidisciplinary teams. In-hospital mortality after live birth for EPTIs decreased from 50% to 42% (P < 0.01). Units reporting more active management in 2012 than 2003 had higher mortality in 2003 (55% versus 43%; P < 0.01) and experienced larger declines (55 to 44%; P < 0.001) than units where policies stayed the same (43 to 37%; P = 0.1). Conclusions: European hospitals reporting changes in management policies experienced larger survival gains for EPTIs. ; The EPICE study received funding from the European Union's Seventh Framework Programme (FP7/2007–2013) under grant agreement n°259882. The MOSAIC study received funding from the European Union's Fifth Framework Programme (QLG4-CT-2001-01907).