1,720,977 research outputs found
Flu and Covid-19: is there adherence to vaccination in target groups?: Domitilla Marconi
Full text linkBACKGROUND: In Italy, the flu vaccine is recommended and free for target groups (adults≥60 years old, fragile people, healthcare workers, pregnant women). During the 2020/2021 flu season, an increased vaccination coverage (+6,9%) was observed compared to the previous season, also due to the Covid-19 pandemic. We aimed to investigate how strong the adherence to the flu vaccine was by the vulnerable groups and assess if the Covid-19 vaccination campaign may have influenced the rate of flu vaccines. METHODS: At the beginning of autumn 2021 we conducted an online survey among the population of Tuscany. We collected data on demographics, health status (pregnancy, vulnerable), flu and COVID-19 vaccinations coverage and health information sources. In addition, we performed a descriptive and a risk factors analysis to assess correlation between our variables with R v 4.0.0. Significance level was set at p < 0.05. RESULTS: Among 408 participants, 248 (61%) belong to a vulnerable group and are recommended to receive the flu vaccine, 229 (56%) usually get the flu vaccine, 386 (95%) got the Covid-19 vaccine, 267 (65%) choose and trust the general practitioner (GP) as their health information source. There is a statistically significant association between being part of a vulnerable group and getting the seasonal flu vaccine (OR 6.63 95% CI 4.26-10.3 p < 0.001). In addition, getting the Covid-19 vaccine increases the likelihood of receiving the flu vaccine (2.90 95% CI 1.16-7.28 p = 0.018). Moreover, participants who trust their GP as their health information source (OR 1.63 CI 1.08-2.46 p = 0.019) are more likely to receive the flu vaccine; other information sources (TV, newspaper, social media) are not associated with the flu vaccine. CONCLUSIONS: Our research shows that vulnerable groups get vaccinated against the flu. The increase in flu vaccine coverage may be due to the COVID-19 vaccines campaign. GPs play a crucial role in the health promotion, prevention and health literacy of patients. KEY MESSAGES: GP plays a crucial role in the prevention and health literacy of patients. COVID-19 vaccines campaign may have positively influenced the flu vaccination campaign. However, we must continue to maintain the coverage we have managed to achieve in the future
ANALISI DEI DATI FENOLOGICI DI CEREALI VERNINI E COLTURE PRIMAVERILI DALLA STAZIONE AGROFENOLOGICA DI CADRIANO (BO)
No full textRaccolta ed elaborazione dati per la validazione di un modello in una stazione agrofenologica
No full textPartecipazione di ARPA Emilia – Romagna ai progetti INTERREG su siccità e desertificazione
No full textIl progetto Aladin: un agroalimentare idro intelligente contro l’approccio settoriale al risparmio idrico
Full text linkIl progetto ALADIN punta a raggiungere concreti avanzamenti nell’irrigazione ottimale delle colture intensive, in particolare su mais e pomodoro, con una sperimentazione biennale che supera i vecchi approcci settoriali. Essa è basata sulla messa a sistema di tutte le componenti che intervengono nella valutazione dell’esigenza idrica e nelle pratiche irrigue, e sull’integrazione nel collaudato sistema IrriNet del CER, che indica quando e quanto irrigare, per scendere al dettaglio delle parti diversamente idroesigenti all’interno di un singolo appezzamento.
Il raggruppamento ALADIN è composto da: CIDEA Università di Parma, Terra & Acqua Tech Università di Ferrara; CER Bologna, CRPA LAB Reggio Emilia, SSICA Parma, DipSA Università di Bologna, ARPAE Idro-Meteo-Clima Bologna e Azienda Sperimentale Stuard Parma e dalle imprese: AeroDron Parma, Sacmi Imola, RM Irrigation Equipment Parma e Tomato Colors Bologna
VALIDATION OF DEVELOPMENT MODELS FOR WINTER CEREALS AND MAIZE WITH INDEPENDENT AGROPHENOLOGICAL OBSERVATIONS IN THE BBCH SCALE
No full textAbstract
Phenological observations of four cereals (soft and durum wheat, barley and maize), carried out with the BBCH centesimal
scale for three to four years in Cadriano, Italy, were compared with the numerical output of independently developed and
calibrated phenological models taken from an operational agrometeorological software. The comparison produced rather
stable and satisfactory results and so it was used to produce empirical translation functions from the model scale to the
more widely used BBCH scale
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