A5080243023- Fiscal Policy and Economic Growth
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Monetary Policy and Economic Impact
- COVID-19 epidemiological studies
- Fiscal Policies and Political Economy
- Vaccine Coverage and Hesitancy
- European Monetary and Fiscal Policies
- Banking stability, regulation, efficiency
- Economic Growth and Development
- Islamic Finance and Banking Studies
- Immune responses and vaccinations
- Energy, Environment, Economic Growth
- COVID-19 Pandemic Impacts
- Unemployment and Economic Growth
- Economic Growth and Productivity
- SARS-CoV-2 detection and testing
- vaccines and immunoinformatics approaches
- Infection Control and Ventilation
- Market Dynamics and Volatility
- COVID-19 and Mental Health
- Global Financial Crisis and Policies
University of Bologna
2022-2023
Zambon (Italy)
2022
University of Macerata
2017-2021
Vienna University of Economics and Business
2019
The research aimed to investigate the incidence of SARS-CoV-2 breakthrough infections and their determinants in a large European cohort more than 60,000 health workers.A multicentric retrospective study, involving 12 centers, was carried out within ORCHESTRA project, collecting data up 18 November 2021 on fully vaccinated workers. cumulative investigated with its association occupational social-demographic characteristics (age, sex, job title, previous infection, antibody titer levels, time...
Background The duration of immune response to COVID-19 vaccination is major interest. Our aim was analyze the determinants anti-SARS-CoV-2 IgG titer at 6 months after 2-dose in an international cohort vaccinated healthcare workers (HCWs). Methods We analyzed data on levels Spike antibodies and sociodemographic clinical characteristics 6,327 HCWs from 8 centers Germany, Italy, Romania Slovakia. Time between 1 st dose serology ranged 150-210 days. Serological were log-transformed account for...
This paper examines external debt and economic growth relationship in a panel of 48 Sub-Saharan Africa countries (SSA) for the period 1990-2017 using two-step system General Method Moments (GMM) technique. Our study shows that contemporaneously, has negative statistically significant impact on GDP growth. However, first lag variables stimulates The implication is accumulated previous makes funds available enhancing expenditure next period. Furthermore, our found no evidence non-linear...
This paper employed a co-integration analysis and an error correction methodology to examine the impact of external debt on economic growth in Ghana using annual time series for period 1970-2017. We found that inflows spur both long-run short-run. Secondly, our study also confirmed crowding out effect non-linear long run However, Debt overhang was only short-run.
 advocate judicious allocation resources so cost servicing will not outweigh benefit borrowed funds.
Background: The effectiveness of the immunity provided by SARS-CoV-2 vaccines is an important public health issue. We analyzed determinants 12-month serology in a multicenter European cohort vaccinated healthcare workers (HCW). Methods: sociodemographic characteristics and levels anti-SARS-CoV-2 spike antibodies (IgG) 16,101 HCW from eleven centers Germany, Italy, Romania, Slovakia Spain. Considering skewness distribution, serological were transformed using log or cubic standardization...
Given their occupational risk profile, HCWs were the first to receive anti-SARS-CoV-2 vaccination. However, breakthrough infections remained common, mainly sustained by new SARS-CoV-2 variants of concern (VOCs) that rapidly spread one after another in Italy. Evidence suggests measured level antibodies does not clearly predict protection conferred either natural infection or vaccine-induced immunization, highlighting need for further study on diversity susceptibility infection. The present...
Background: The persistence of antibody levels after COVID-19 vaccination has public health relevance. We analyzed the determinants quantitative serology at 9 months in a multicenter cohort. Methods: data on anti-SARS-CoV-2 spike from first dose vaccinated HCW eight centers Italy, Germany, Spain, Romania and Slovakia. Serological were log-transformed to account for skewness distribution normalized by dividing them center-specific standard errors. fitted multivariate regression models...
Background: Health care workers (HCWs) were on the frontline of current pandemic. We aimed at identifying determinants SARS-CoV-2 infection and effectiveness personal protection equipment (PPE) worn by HCWs before vaccination. Methods: abstracted data based positive PCR results sociodemographic characteristics 38,793 from public hospitals health authorities 10 European centers. fitted cohort-specific multivariate logistic regression models to identify combined using random-effects...
Using annual data for the period 2000–2018, study employed an autoregressive distributed lag (ARDL) methodology to examine long-run cointegrating relations between service subsectors and economic growth in Albania. Results are presented both short run long run. Findings indicate that transport sector, communication financial services have a positive impact on growth. However, manufacturing sector has negative impact. This confirms Baumol’s theory cost disease but does not corroborate...
Using quarterly data from 2006q3 to 2017q4, this paper employed sign restrictions with rejection method in a Vector Autoregression estimate the pass-through of exchange rate dynamics domestic prices Ghana.The priors model belongs flat Normal inverted-Wishart family.Markov Chain Monte Carlo (MCMC) is used collect 1000 draws posterior distribution SVAR parameters that satisfy restrictions.The specification included some idiosyncratic features Ghanaian economy such as dependence on primary...
We investigated changes in serologic measurements after COVID-19 vaccination 19,422 subjects. An individual-level analysis was performed on standardized measurements. Age, infection, vaccine doses, time between doses and serologies, type were associated with levels within 13 months. Persistence of immunization is key for prevention. the difference two anti-COVID-19 S1 antibodies an vaccinated healthcare workers (HCW) from Italy, Spain, Romania, Slovakia, tested months first dose. Differences...
Purpose: The purpose of the paper was to estimate interdependence between selected macroeconomic variables and non-performing loans in Ghana using a Bayesian Vector autoregressive approach. Design/methodology/approach: This used annual series from 2008-2017 which interpolated into quarterly frequencies how shocks affects quality loan portfolio Autoregressive Our VAR system satisfied stability condition where inverse root polynomial is within unit circle hence our deemed stable. model...
This study employs threshold models to examine the export-led growth hypothesis (ELG) for Ghana from 1970-2018. The analysis commences as follows. Firstly, using real GDP variable, conducts a non-linearity test vector autoregressive (TVAR) model against linear (VAR) model. Secondly, evaluates whether ELG is best explained with co-integration or models. empirical results indicate that, supported by two-threshold (threshold values of 2.35 and 2.46) error correction -0.50 -0.20). term TVECM...
This paper employed a co-integration analysis and an error correction methodology to examine the impact of external debt on economic growth in Ghana using annual time series from 1970-2017. Estimates show that our normalized long-run co-integrating equation coefficients do not differ short-run vector for variables interest. Findings are inflows stimulate both short-run. Secondly, study also confirmed crowding out effect, overhang effect non-linear Ghana. From perspective policy, we advocate...
Based on quarterly data for the period 2006:3-2018:4, effect of exchange movement a set price indices in Ghana is examined via Bayesian Vector Autoregressive model. Using normal inverted-Wishart priors, posterior estimates are generated by Markov Chain Monte Carlo draws sign restriction algorithm. Findings showed that response consumer prices (CPI), producer (PPI) and non-food (NFP) to rate shocks low incomplete. Furthermore, forecast error variance decomposition (FEVD) indicated CPI most...
Time series datasets was collected from 1970-2015 to empirically test for the factors that drive economic growth in Ghana using a cointegration analysis and Vector Error correction modeling(VECM). The findings were of output is driven by exports government spending which are both statistically significant as well. Oil rent, mineral investment household consumption expenditure do not long run period understudy. Amongst latter, oil except rent not. Since export notable driver run, it vital...