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gion of initial conditions for infected and exposed is determined. We developed a software tool to interact with the model and facilitate applying various data of different local spaces.This work investigates financial volatility cascades generated by SARS-CoV-2 related news using concepts developed in the field of seismology. We analyze the impact of socio-economic and political announcements, as well as of financial stimulus disclosures, on the reference stock markets of the United States, United Kingdom, Spain, France, Germany and Italy. We quantify market efficiency in processing SARS-CoV-2 related news by means of the observed Omori power-law exponents and we relate these empirical regularities to investors' behavior through the lens of a stylized Agent-Based financial market model. The analysis reveals that financial markets may underreact to the announcements by taking a finite time to re-adjust prices, thus moving against the efficient market hypothesis. We observe that this empirical regularity can be related to the speculative behavior of market participants, whose willingness to switch toward better performing investment strategies, as well as their degree of reactivity to price trend or mispricing, can induce long-lasting volatility cascades.
The incidence of AKI in coronavirus disease 2019 (COVID-19) patients ranges from 0.5 to 35% and has been associated with worse prognosis. The purpose of this study was to evaluate the incidence, severity, duration, risk factors and prognosis of AKI in hospitalized patients with COVID-19.

We conducted a retrospective single-center analysis of 192 hospitalized COVID-19 patients from March to May of 2020. AKI was diagnosed using the Kidney Disease Improving Global Outcome (KDIGO) classification based on serum creatinine (SCr) criteria. Persistent and Transient AKI were defined according to the Acute Disease Quality Initiative (ADQI) workgroup definitions.

In this cohort of COVID-19 patients, 55.2% developed AKI (n=106). The majority of AKI patients had persistent AKI (n=64, 60.4%). Overall, in-hospital mortality was 18.2% (n=35) and was higher in AKI patients (28.3% vs 5.9%, p<0.001, unadjusted OR 6.03 (2.22-16.37), p<0.001). In this multivariate analysis, older age (adjusted OR 1.07 (95% CI 1.02-1.11), p=0.004), lower Hb level (adjusted OR 0.78 (95% CI 0.60-0.98), p=0.035), duration of AKI (adjusted OR 7.34 for persistent AKI (95% CI 2.37-22.72), p=0.001) and severity of AKI (adjusted OR 2.65 per increase in KDIGO stage (95% CI 1.32-5.33), p=0.006) were independent predictors of mortality.

AKI was frequent in hospitalized patients with COVID-19. Persistent AKI and higher severity of AKI were independent predictors of in-hospital mortality.
AKI was frequent in hospitalized patients with COVID-19. Persistent AKI and higher severity of AKI were independent predictors of in-hospital mortality.
This study aimed to investigate association between conspiracy beliefs, trusts in media and authoritative information sources, with COVID-19 vaccine acceptance.

We conducted online survey on adult resident of Bali Province, Indonesia in September 14th to October 31st 2020 collecting data on demographics, impacts of the pandemic, conspiracy beliefs, trusts in conventional media and authoritative sources, as well as vaccine acceptance. We conducted bivariate and multivariate analysis for determinants of vaccine acceptance with SPSS 23.0.

We recruited 779 respondents with 38.9% male and median age of 24years old (IQR 20 - 26). The result showed vaccine acceptance of 60.8%. Menadione Vaccine acceptance was correlated with conspiracy beliefs, trusts in conventional media and authoritative sources with Spearman's rho of -0.350, 0.269, and 0.287 respectively. Controlling for demographics and impacts of pandemic, showed strong conspiracy beliefs and trust in conventional media as the only independent determinants with OR of 0.33 (CI95% 0.20-0.54) and 1.91 (CI95% 1.37-2.65) respectively.

The results indicated considerable impacts of infodemic, represented by conspiracy beliefs, trust in media, and in authoritative sources, toward COVID-19 vaccine acceptance. Effective public health messaging should be conducted concurrent with vaccine rollout to improve acceptance and achieve herd immunity.
The results indicated considerable impacts of infodemic, represented by conspiracy beliefs, trust in media, and in authoritative sources, toward COVID-19 vaccine acceptance. Effective public health messaging should be conducted concurrent with vaccine rollout to improve acceptance and achieve herd immunity.
The COVID-19 pandemic has led to extensive social distancing measures. For those suffering from social anxiety, social distancing coincides with a tendency to avoid social interactions. We used this natural experiment imposed by a COVID-19 lockdown to examine how mandated low social exposure influenced socially anxious university students, and compared their anxiety to that of socially anxious students in preceding academic years with no social distancing.

Ninety-nine socially anxious students were assessed for social anxiety symptoms at the beginning of the fall and spring semesters. Students from the 2019-2020 academic year (which included a lockdown followed by social distancing measures at the end of the fall semester) were compared to students from preceding years (2016-2019) on social anxiety levels.

Whereas social anxiety decreased in socially anxious students from the fall to the spring semester in the years preceding the pandemic, during the 2019-2020 academic year social anxiety levels remained high and unchanged. These results held when controlling for depressive symptoms and when analyzing social anxiety items that cannot be confounded with COVID-19-related anxiety.

The current results suggest that reduced exposure to social situations may play a role in the maintenance of social anxiety. Alternative explanations are discussed.
The current results suggest that reduced exposure to social situations may play a role in the maintenance of social anxiety. Alternative explanations are discussed.
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