LIVIVO - Search results -

Search results

Result 1 - 10 of total 14

Search options

Article ; Online: CoViD-19, learning from the past: A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region.

Rivieccio, Bruno Alessandro / Micheletti, Alessandra / Maffeo, Manuel / Zignani, Matteo / Comunian, Alessandro / Nicolussi, Federica / Salini, Silvia / Manzi, Giancarlo / Auxilia, Francesco / Giudici, Mauro / Naldi, Giovanni / Gaito, Sabrina / Castaldi, Silvana / Biganzoli, Elia

PloS one

2021 Volume 16, Issue 2, Page(s) e0247854

Abstract: The first case of Coronavirus Disease 2019 in Italy was detected on February the 20th in Lombardy region. Since that date, Lombardy has been the most affected Italian region by the epidemic, and its healthcare system underwent a severe overload during ... ...

Abstract	The first case of Coronavirus Disease 2019 in Italy was detected on February the 20th in Lombardy region. Since that date, Lombardy has been the most affected Italian region by the epidemic, and its healthcare system underwent a severe overload during the outbreak. From a public health point of view, therefore, it is fundamental to provide healthcare services with tools that can reveal possible new health system stress periods with a certain time anticipation, which is the main aim of the present study. Moreover, the sequence of law decrees to face the epidemic and the large amount of news generated in the population feelings of anxiety and suspicion. Considering this whole complex context, it is easily understandable how people "overcrowded" social media with messages dealing with the pandemic, and emergency numbers were overwhelmed by the calls. Thus, in order to find potential predictors of possible new health system overloads, we analysed data both from Twitter and emergency services comparing them to the daily infected time series at a regional level. Particularly, we performed a wavelet analysis in the time-frequency plane, to finely discriminate over time the anticipation capability of the considered potential predictors. In addition, a cross-correlation analysis has been performed to find a synthetic indicator of the time delay between the predictor and the infected time series. Our results show that Twitter data are more related to social and political dynamics, while the emergency calls trends can be further evaluated as a powerful tool to potentially forecast new stress periods. Since we analysed aggregated regional data, and taking into account also the huge geographical heterogeneity of the epidemic spread, a future perspective would be to conduct the same analysis on a more local basis.
MeSH term(s)	COVID-19/epidemiology ; Emergency Medical Services ; Epidemiological Monitoring ; Forecasting ; Humans ; Italy/epidemiology ; Pandemics ; Social Media
Language	English
Publishing date	2021-02-25
Publishing country	United States
Document type	Journal Article
ISSN	1932-6203
ISSN (online)	1932-6203
DOI	10.1371/journal.pone.0247854
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Heterogeneity of COVID-19 outbreak in Italy.

Rivieccio, Bruno Alessandro / Luconi, Ester / Boracchi, Patrizia / Pariani, Elena / Romanò, Luisa / Salini, Silvia / Castaldi, Silvana / Biganzoli, Elia / Galli, Massimo

Acta bio-medica : Atenei Parmensis

2020 Volume 91, Issue 2, Page(s) 31–34

Abstract: An outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) started in December 2019 in China and was declared a pandemic on 11.03.2020 by WHO. Italy is one of the most afflicted Country by this epidemic with 136,110 confirmed cases and ... ...

Abstract	An outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) started in December 2019 in China and was declared a pandemic on 11.03.2020 by WHO. Italy is one of the most afflicted Country by this epidemic with 136,110 confirmed cases and 16,654 deaths on 9.4.2020 (at the same date, the Ministry of Health was reporting 143,626 cases). During these few months the National Health Service have made a great effort to cope with the increasing request of intensive care beds and all the elective activities in hospital have been suspended. Data from the different Italian regions shows different patterns of positive and dead for this syndrome. Moreover, striking differences of the observed lethality of the infections among different areas were immediately evident from the epidemic reports. It will be of critical relevance to understand the expected evolution of the first lock-down phase, driving the exhaustion of the Covid-19 outbreak.(www.actabiomedica.it).
MeSH term(s)	Betacoronavirus ; COVID-19 ; Coronavirus/isolation & purification ; Coronavirus/pathogenicity ; Coronavirus Infections/diagnosis ; Coronavirus Infections/mortality ; Disease Outbreaks ; Humans ; Italy/epidemiology ; Pandemics ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/mortality ; SARS-CoV-2
Keywords	covid19
Language	English
Publishing date	2020-04-20
Publishing country	Italy
Document type	Journal Article
ZDB-ID	2114240-3
ISSN	2531-6745 ; 0392-4203
ISSN (online)	2531-6745
ISSN	0392-4203
DOI	10.23750/abm.v91i2.9579
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.B 925: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article: Are Epidemiological Estimates Able to Describe the Ability of Health Systems to Cope with COVID-19 Epidemic?

Castaldi, Silvana / Luconi, Ester / Rivieccio, Bruno Alessandro / Boracchi, Patrizia / Marano, Giuseppe / Pariani, Elena / Romano, Luisa / Auxilia, Francesco / Nicolussi, Federica / Micheletti, Alessandra / Manzi, Giancarlo / Salini, Silvia / Galli, Massimo / Biganzoli, Elia

Risk management and healthcare policy

2021 Volume 14, Page(s) 2221–2229

Abstract: Introduction: The coronavirus disease 2019 (COVID-19) epidemic is an infectious disease which was declared a pandemic and hit countries worldwide from the beginning of the year 2020. Despite the emergency vigilance plans, health systems in all countries ...

Abstract	Introduction: The coronavirus disease 2019 (COVID-19) epidemic is an infectious disease which was declared a pandemic and hit countries worldwide from the beginning of the year 2020. Despite the emergency vigilance plans, health systems in all countries experienced a different ratio of lethality, amount of admissions to intensive care units and quarantine management of positive patients. The aim of this study is to investigate whether some epidemiological estimates could have been useful in understanding the capacity of the Italian Regional Health Services to manage the COVID-19 epidemic. Methods: We have compared data between two different Italian regions in the Northern part of Italy (Lombardy and Veneto) and the national data to determine whether different health strategies might be significant in explaining dissimilar patterns of the COVID-19 epidemic in Italy. Data have been extracted from a public database and were available only in an aggregated form. Results: The regions in question displayed two different health policies to face the COVID-19 epidemic: while Veneto's health service was largely territorially oriented, Lombardy's strategy was more hospital-centered. Discussion: The key to facing epidemics like this one consists in identifying solutions outside of hospitals. This however requires there be well-trained general practitioners and enough healthcare personnel working outside hospitals.
Language	English
Publishing date	2021-05-31
Publishing country	England
Document type	Journal Article
ZDB-ID	2495128-6
ISSN	1179-1594
ISSN	1179-1594
DOI	10.2147/RMHP.S290801
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article ; Online: CoViD-19, learning from the past

Bruno Alessandro Rivieccio / Alessandra Micheletti / Manuel Maffeo / Matteo Zignani / Alessandro Comunian / Federica Nicolussi / Silvia Salini / Giancarlo Manzi / Francesco Auxilia / Mauro Giudici / Giovanni Naldi / Sabrina Gaito / Silvana Castaldi / Elia Biganzoli

PLoS ONE, Vol 16, Iss 2, p e

A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region.

2021 Volume 0247854

Abstract	The first case of Coronavirus Disease 2019 in Italy was detected on February the 20th in Lombardy region. Since that date, Lombardy has been the most affected Italian region by the epidemic, and its healthcare system underwent a severe overload during the outbreak. From a public health point of view, therefore, it is fundamental to provide healthcare services with tools that can reveal possible new health system stress periods with a certain time anticipation, which is the main aim of the present study. Moreover, the sequence of law decrees to face the epidemic and the large amount of news generated in the population feelings of anxiety and suspicion. Considering this whole complex context, it is easily understandable how people "overcrowded" social media with messages dealing with the pandemic, and emergency numbers were overwhelmed by the calls. Thus, in order to find potential predictors of possible new health system overloads, we analysed data both from Twitter and emergency services comparing them to the daily infected time series at a regional level. Particularly, we performed a wavelet analysis in the time-frequency plane, to finely discriminate over time the anticipation capability of the considered potential predictors. In addition, a cross-correlation analysis has been performed to find a synthetic indicator of the time delay between the predictor and the infected time series. Our results show that Twitter data are more related to social and political dynamics, while the emergency calls trends can be further evaluated as a powerful tool to potentially forecast new stress periods. Since we analysed aggregated regional data, and taking into account also the huge geographical heterogeneity of the epidemic spread, a future perspective would be to conduct the same analysis on a more local basis.
Keywords	Medicine ; R ; Science ; Q
Subject code	300
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Prevalence of SARS-CoV-2 in an area of unrestricted viral circulation: Mass seroepidemiological screening in Castiglione d'Adda, Italy.

Pagani, Gabriele / Giacomelli, Andrea / Conti, Federico / Bernacchia, Dario / Rondanin, Rossana / Prina, Andrea / Scolari, Vittore / Rizzo, Arianna / Beltrami, Martina / Caimi, Camilla / Gandolfi, Cecilia Eugenia / Castaldi, Silvana / Rivieccio, Bruno Alessandro / Buonanno, Giacomo / Marano, Giuseppe / Ottomano, Cosimo / Boracchi, Patrizia / Biganzoli, Elia / Galli, Massimo

PloS one

2021 Volume 16, Issue 2, Page(s) e0246513

Abstract: Castiglione D'Adda is one of the municipalities more precociously and severely affected by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) epidemic in Lombardy. With our study we aimed to understand the diffusion of the infection by mass ...

Abstract	Castiglione D'Adda is one of the municipalities more precociously and severely affected by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) epidemic in Lombardy. With our study we aimed to understand the diffusion of the infection by mass serological screening. We searched for SARS-CoV-2 IgGs in the entire population on a voluntary basis using lateral flow immunochromatographic tests (RICT) on capillary blood (rapid tests). We then performed chemioluminescent serological assays (CLIA) and naso-pharyngeal swabs (NPS) in a randomized representative sample and in each subject with a positive rapid test. Factors associated with RICT IgG positivity were assessed by uni- and multivariate logistic regression models. Out of the 4143 participants, 918 (22·2%) showed RICT IgG positivity. In multivariable analysis, IgG positivity increases with age, with a significant non-linear effect (p = 0·0404). We found 22 positive NPSs out of the 1330 performed. Albeit relevant, the IgG prevalence is lower than expected and suggests that a large part of the population remains susceptible to the infection. The observed differences in prevalence might reflect a different infection susceptibility by age group. A limited persistence of active infections could be found after several weeks after the epidemic peak in the area.
MeSH term(s)	Antibodies, Viral/blood ; COVID-19/blood ; COVID-19/diagnosis ; COVID-19/epidemiology ; COVID-19/transmission ; COVID-19 Serological Testing/methods ; COVID-19 Serological Testing/statistics & numerical data ; Cross-Sectional Studies ; Female ; Humans ; Immunoglobulin G/blood ; Immunoglobulin M/blood ; Italy/epidemiology ; Male ; Mass Screening/methods ; Prevalence ; SARS-CoV-2/genetics ; SARS-CoV-2/pathogenicity
Chemical Substances	Antibodies, Viral ; Immunoglobulin G ; Immunoglobulin M
Language	English
Publishing date	2021-02-24
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0246513
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Article: Heterogeneity of COVID-19 outbreak in Italy

Rivieccio, Bruno Alessandro / Luconi, Ester / Boracchi, Patrizia / Pariani, Elena / Romanò, Luisa / Salini, Silvia / Castaldi, Silvana / Biganzoli, Elia / Galli, Massimo

Acta Biomed

Abstract	An outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) started in December 2019 in China and was declared a pandemic on 11.03.2020 by WHO. Italy is one of the most afflicted Country by this epidemic with 136,110 confirmed cases and 16,654 deaths on 9.4.2020 (at the same date, the Ministry of Health was reporting 143,626 cases). During these few months the National Health Service have made a great effort to cope with the increasing request of intensive care beds and all the elective activities in hospital have been suspended. Data from the different Italian regions shows different patterns of positive and dead for this syndrome. Moreover, striking differences of the observed lethality of the infections among different areas were immediately evident from the epidemic reports. It will be of critical relevance to understand the expected evolution of the first lock-down phase, driving the exhaustion of the Covid-19 outbreak.(www.actabiomedica.it).
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #32420921
Database	COVID19

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Details ▾

Article ; Online: Monitoring emergency calls and social networks for COVID-19 surveillance. To learn for the future: The outbreak experience of the Lombardia region in Italy.

Castaldi, Silvana / Maffeo, Manuel / Rivieccio, Bruno Alessandro / Zignani, Matteo / Manzi, Giancarlo / Nicolussi, Federica / Salini, Silvia / Micheletti, Alessandra / Gaito, Sabrina / Biganzoli, Elia

Acta bio-medica : Atenei Parmensis

2020 Volume 91, Issue 9-S, Page(s) 29–33

Abstract: On 18th February the first Italian case of Coronavirus Induced Disease 2019 (COVID19) due to secondary transmission outside China was identified in Codogno, Lombardia region. In the following days the number of cases started to rise not only in Lombardia ...

Abstract	On 18th February the first Italian case of Coronavirus Induced Disease 2019 (COVID19) due to secondary transmission outside China was identified in Codogno, Lombardia region. In the following days the number of cases started to rise not only in Lombardia but also in other Italian regions, although Lombardia remained and it is still the most affected region in Italy. At the moment, 234801 cases have been identified in Italy, out of which 90070 in Lombardia region. The (Severe Acute Respiratory Syndrome Coronavirus 2) SARS CoV 2 outbreak in Italy has been characterized by a massive spread of news coming from both official and unofficial sources leading what has been defined as infodemia, an over-abundance of information - some accurate and some not - that has made hard for people to find trustworthy sources and reliable guidance needed. Infodemia on SARS CoV 2 created the perfect field to build uncertainty in the population, which was scared and not prepared to face this outbreak. It is understandable how the rapid increase of the cases' number , the massive spread of news and the adoption of laws to face this outbreak led to a feeling of anxiety in the population whose everyday life changed very quickly. A way to assess the dynamic burden of social anxiety is a context analysis of major social networks activities over the Internet. To this aim Twitter represents a possible ideal tool since the focused role of the tweets according to the more urgent needs of information and communication rather than general aspects of social projection and debate as in the case of Facebook, which could provide slower responses for the fast individual and social context evolution dynamics. Aim of the paper is to analyse the most common reasons for calling and outcomes. Furthermore, the joint analysis with Twitter trends related to emergency services might be useful to understand possible correlations with epidemic trends and predict new outbreaks.
MeSH term(s)	Betacoronavirus ; COVID-19 ; Coronavirus Infections/epidemiology ; Disease Outbreaks ; Emergency Service, Hospital ; Epidemiological Monitoring ; Humans ; Italy/epidemiology ; Pandemics ; Pneumonia, Viral/epidemiology ; SARS-CoV-2 ; Social Networking
Keywords	covid19
Language	English
Publishing date	2020-07-20
Publishing country	Italy
Document type	Journal Article
ZDB-ID	2114240-3
ISSN	2531-6745 ; 0392-4203
ISSN (online)	2531-6745
ISSN	0392-4203
DOI	10.23750/abm.v91i9-S.10038
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.B 925: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Prevalence of SARS-CoV-2 in an area of unrestricted viral circulation

Gabriele Pagani / Andrea Giacomelli / Federico Conti / Dario Bernacchia / Rossana Rondanin / Andrea Prina / Vittore Scolari / Arianna Rizzo / Martina Beltrami / Camilla Caimi / Cecilia Eugenia Gandolfi / Silvana Castaldi / Bruno Alessandro Rivieccio / Giacomo Buonanno / Giuseppe Marano / Cosimo Ottomano / Patrizia Boracchi / Elia Biganzoli / Massimo Galli

PLoS ONE, Vol 16, Iss 2, p e

Mass seroepidemiological screening in Castiglione d'Adda, Italy.

2021 Volume 0246513

Abstract	Castiglione D'Adda is one of the municipalities more precociously and severely affected by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) epidemic in Lombardy. With our study we aimed to understand the diffusion of the infection by mass serological screening. We searched for SARS-CoV-2 IgGs in the entire population on a voluntary basis using lateral flow immunochromatographic tests (RICT) on capillary blood (rapid tests). We then performed chemioluminescent serological assays (CLIA) and naso-pharyngeal swabs (NPS) in a randomized representative sample and in each subject with a positive rapid test. Factors associated with RICT IgG positivity were assessed by uni- and multivariate logistic regression models. Out of the 4143 participants, 918 (22·2%) showed RICT IgG positivity. In multivariable analysis, IgG positivity increases with age, with a significant non-linear effect (p = 0·0404). We found 22 positive NPSs out of the 1330 performed. Albeit relevant, the IgG prevalence is lower than expected and suggests that a large part of the population remains susceptible to the infection. The observed differences in prevalence might reflect a different infection susceptibility by age group. A limited persistence of active infections could be found after several weeks after the epidemic peak in the area.
Keywords	Medicine ; R ; Science ; Q
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: CoViD-19, learning from the past: A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region

medRxiv

Abstract	The first case of Coronavirus Disease 2019 in Italy was detected on February the 20th in Lombardy region. Since that date, Lombardy has been the most affected Italian region by the epidemic, and its healthcare system underwent a severe crisis during the outbreak. From a public health point of view, therefore, it is fundamental to provide healthcare services with tools that can reveal a possible new epidemic burden with a certain time anticipation, which is the main aim of the present study. Moreover, the sequence of law decrees to face the epidemic and the large amount of news generated in the population feelings of anxiety and suspicion. Considering this whole complex context, it is easily understandable how people overcrowded social media with messages dealing with the pandemic, and emergency numbers were overwhelmed by the calls. Thus, in order to find potential predictors of a possible second epidemic wave, we analyzed data both from Twitter and from emergency services comparing them to the daily infected time series at a regional level. Since our principal goal is to forecast a possible new ascending phase of the epidemic, we performed a wavelet analysis in the time-frequency plane, to finely discriminate over time the anticipation capability of the considered potential predictors. In addition, a cross-correlation analysis has been performed to find a synthetic indicator of the time delay between the predictor and the infected time series. Our results show that Twitter data are more related to social and political dynamics, while the emergency calls trends can be further evaluated as a powerful tool to potentially forecast a new burden. Since we analyzed aggregated regional data, and taking into account also the huge geographical heterogeneity of the epidemic spread, a future perspective would be to conduct the same analysis on a more local basis.
Keywords	covid19
Language	English
Publishing date	2020-10-16
Publisher	Cold Spring Harbor Laboratory Press
Document type	Article ; Online
DOI	10.1101/2020.10.14.20212415
Database	COVID19

Full text online

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: Prevalence of SARS-CoV-2 in an Area of Unrestricted Viral Circulation

SSRN Electronic Journal ; ISSN 1556-5068

Mass Seroepidemiological Screening in Castiglione D’Adda, Italy

2020

Keywords	covid19
Language	English
Publisher	Elsevier BV
Publishing country	us
Document type	Article ; Online
DOI	10.2139/ssrn.3668431
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

Order via subito

Kategorien

Inter-library loan at ZB MED

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

Full text online

More links

Kategorien

Inter-library loan at ZB MED

Full text online

Kategorien

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Inter-library loan at ZB MED