As of January 1, 2025, Rome (Lazio) was the Italian province which registered the highest number of coronavirus (COVID-19) cases in the country. Milan (Lombardy) came second in this ranking, while Naples (Campania) and Turin (Piedmont) followed. These four areas are also the four most populated provinces in Italy. The region of Lombardy was the mostly hit by the spread of the virus, recording almost one sixth of all coronavirus cases in the country. The provinces of Milan and Brescia accounted for a large part of this figure. For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

After entering Italy, the coronavirus (COVID-19) spread fast. The strict lockdown implemented by the government during the Spring 2020 helped to slow down the outbreak. However, in the following months the country had to face four new harsh waves of contagion. As of January 1, 2025, 198,638 deaths caused by COVID-19 were reported by the authorities, of which approximately 48.7 thousand in the region of Lombardy, 20.1 thousand in the region of Emilia-Romagna, and roughly 17.6 thousand in Veneto, the regions mostly hit. The total number of cases reported in the country reached over 26.9 million. The north of the country was mostly hit, and the region with the highest number of cases was Lombardy, which registered almost 4.4 million of them. The north-eastern region of Veneto counted about 2.9 million cases. Italy's death toll was one of the most tragic in the world. In the last months, however, the country saw the end to this terrible situation: as of November 2023, 85 percent of the total Italian population was fully vaccinated. For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

As of January 1, 2025, the number of active coronavirus (COVID-19) infections in Italy was approximately 218,000. Among these, 42 infected individuals were being treated in intensive care units. Another 1,332 individuals infected with the coronavirus were hospitalized with symptoms, while approximately 217,000 thousand were in isolation at home. The total number of coronavirus cases in Italy reached over 26.9 million (including active cases, individuals who recovered, and individuals who died) as of the same date. The region mostly hit by the spread of the virus was Lombardy, which counted almost 4.4 million cases.For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

The first two cases of the new coronavirus (COVID-19) in Italy were recorded between the end of January and the beginning of February 2020. Since then, the number of cases in Italy increased steadily, reaching over 26.9 million as of January 8, 2025. The region mostly hit by the virus in the country was Lombardy, counting almost 4.4 million cases. On January 11, 2022, 220,532 new cases were registered, which represented the biggest daily increase in cases in Italy since the start of the pandemic. The virus originated in Wuhan, a Chinese city populated by millions and located in the province of Hubei. More statistics and facts about the virus in Italy are available here.For a global overview, visit Statista's webpage exclusively dedicated to coronavirus, its development, and its impact.

This article investigates the narratives employed by the Romanian media in covering the development of COVID-19 in Roma communities in Romania. This paper aims to contribute to academic literature on Romani studies, particularly in Central and Eastern Europe, by adopting as its case study the town of Ţăndărei, a small town in the south of Romania, which in early 2020 was widely reported by Romanian media during both the pre- and post-quarantine period. The contributions rest on anchoring the study in post-foundational theory and media studies to understand the performativity of Roma identity and the discursive-performative practices of control employed by the Romania media in the first half of 2020. Aroused by the influx of ethnic Romani returning from Western Europe, the Romanian mainstream media expanded its coverage through sensationalist narratives and depictions of lawlessness and criminality. These branded the ethnic minority as a scapegoat for the spreading of the virus. Relying on critical social theory, this study attempts to understand how Roma have been portrayed during the Coronavirus crisis. Simultaneously, this paper resonates with current Roma theories about media discourses maintaining and reinforcing a sense of marginality for Roma communities. To understand the dynamics of Romanian media discourses, this study employs NVivo software tools and language-in-use discourse analysis to examine the headlines and sub headlines of approximately 300 articles that have covered COVID-19 developments in Roma communities between February and July 2020. The findings from the study indicate that the media first focused on exploiting the sensationalism of the episodes involving Roma. Second, the media employed a logic of polarization to assist the authorities in retaking control of the pandemic and health crisis from Romania. The impact of the current study underlines the need to pay close attention to the dynamics of crises when activating historical patterns of stigma vis-à-vis Roma communities in Eastern Europe.

Dataset from Magon A, Arrigoni C, Barello S, Graffigna G, Caruso R. Managing anticoagulation in the COVID-19 era between lockdown and reopening phases: Comment. Intern Emerg Med. 2021 Oct;16(7):2017-2018. doi: 10.1007/s11739-021-02647-6. Epub 2021 Feb 10. PMID: 33566279; PMCID: PMC7873665.

Table 1. Demographic and clinical data of the study population

Dataset from the Letter to the Editor Biagioli V, Belloni S, Albanesi B, Piredda A, Caruso R. Comment on "The experience on coronavirus disease 2019 and cancer from an oncology hub institution in Milan, Lombardy Region" and reflections from the Italian Association of Oncology Nurses. Eur J Cancer. 2020 Aug;135:8-10. doi: 10.1016/j.ejca.2020.05.022. Epub 2020 Jun 4. PMID: 32521294; PMCID: PMC7269936.

Structured questionnaire set up to collect data on demographics including age at PD onset and disease duration.

A cohort of 109 PD patients was enrolled at the Neurology Unit of Tor Vergata University Hospital (Rome, Italy). Patients were previously diagnosed according with current diagnostic criteria and followed-up for at least 2 years to avoid misdiagnosis with atypical parkinsonism. All patients had to be contactable via e-mail and able to fill out the forms (demented and severely affected patients, as reported in clinical charts, were not included).

A standard introductive message was transmitted by e-mail or phone to explain the study. Then, a survey was sent by e-mail and returned within 1 week. The study covered the Italian lockdown period between April 20, 2020 and May 2, 2020.

The questionnaire also included motor activity habits before COVID-19 emergency: physiotherapy/rehabilitation practice, sports practice (type and weekly frequency); motor activity habits during lockdown: physiotherapy/rehabilitation practice, physical exercise practice (indoor/outdoor, type of activity); use of TBTs (specifically free web video lessons, web video course organized by institutions/associations, video games, and smartphone applications), previous experience, frequency of current use, opinion on the usefulness; use of wearable devices (eg pedometer); perception of own health during COVID-19 emergency (specifically, we asked: “Do you feel that your global health was worsened or remained stable during the lockdown?”). Three self-administered scales were also included in the survey: the International Physical Activity Questionnaires-Short Form (IPAQ–SF),7,8 a self-reported questionnaire to quantify the intensity of physical activity as metabolic equivalent (MET) min/week; the Parkinson’s Well-Being Map (PWBM), a self-reported score of motor and non-motor symptoms divided into 8 items9 to assess clinical severity; and the Beck Depression Index (BDI) to estimate depression. All responses were transformed in categorical or continuous variables as appropriate for statistical analysis.

Dataset

This dataset was created by Roman Grigorenko

Released under Other (specified in description)

Contents

It contains the following files:

Dataset

This dataset was created by Roman Garayev

Contents

Magon A, Arrigoni C, Graffigna G, Barello S, Moia M, Palareti G, Caruso R. The effect of health literacy on vaccine hesitancy among Italian anticoagulated population during COVID-19 pandemic: the moderating role of health engagement. Hum Vaccin Immunother. 2021 Oct 13:1-6. doi: 10.1080/21645515.2021.1984123. Epub ahead of print. PMID: 34643478.

Abstract

Assessing vaccine hesitancy and its determinants is pivotal to optimize vaccine acceptance in anticoagulated patients, given that this population has been described to have a higher risk of severe COVID-19-related complications. This study assessed the moderator role of patients' health engagement on the relationship between health literacy and vaccine hesitancy. A web-based survey was performed in Italy during the first wave (June-August 2020) and the second wave (October 2020-March 2021) of the COVID-19 pandemic, enrolling 288 patients. The rates of vaccine hesitancy reported during the first pandemic wave were 38.4% and 30.8% during the second wave (when a vaccine was available) (p = .164). A moderation analysis was performed to assess the role of health engagement in influencing the relationship from health literacy to vaccine hesitancy. Patients' health engagement enhanced the effects of health literacy on decreasing vaccine hesitancy (p < .001), suggesting that co-construction strategies for communicative action are pivotal.

Database of the official acts of Regional Offices of Public Health (ROPH) targeting Marginalized Roma Communities (MRCs) in the first and second wave of the COVID-19 pandemic in Slovakia. The database serves as supplementary material for the forthcoming chapter “Targeting Marginalized Roma Communities in Slovakia: An analysis of official measures during the Covid-19 pandemic”.

Italy was the first European country affected by a severe outbreak of the Severe Acute Respiratory Syndrome - CoronaVirus-2 (SARS-CoV-2) epidemic emerged from Wuhan region (China), with a high morbidity and mortality associated with the disease.

In light of its pandemic spread and the very limited therapeutic options, COronaVIrus Disease 19 (COVID-19) is considered an unprecedented global health challenge. Therefore, the evaluation of new resources, designed in the first instance for other pathologies but potentially active against COVID-19, represents a priority in clinical research.

This is an interventional, non-pharmacological, open, randomized, prospective, non-profit study on the adjuvant use of oxygen ozone therapy plus probiotic supplementation in the early control of disease progression in patients with COVID-19.

Contextually, all patients are treated with the current standard of care on the basis of the interim guidelines of the Italian Society of Infectious and Tropical Diseases.

The main purpose of the study is to evaluate the effectiveness of an ozone therapy-based intervention (accompanied by supplementation with probiotics) in containing the progression of COVID-19 and in preventing the need for hospitalization in intensive care units.

Since the spread of the coronavirus (COVID-19) in Italy, started in February 2020, many people who contracted the infection died. The number of deaths amounted to 198,683 as of January 8, 2025. On December 3, 2020, 993 patients died, the highest daily toll since the start of the pandemic. The region with the highest number of deaths was Lombardy, which is also the region that registered the highest number of coronavirus cases. Italy's death toll was one of the most tragic in the world. In the last months, however, the country saw the end to this terrible situation: as of November 2023, roughly 85 percent of the total Italian population was fully vaccinated. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

The trajectories of coarse-grained (CG) molecular dynamics (MD) simulations of
1) unmodified (NoPTM_POPC_Martini3b: 0.5 & 2.5 μs);
2) palmitoylated (CYSP40, CYSP43, CYSP 44, CYSP40/43, CYSP 40/44, CYSP 43/44, CYSP40/43/44_POPC_Martini3b: 0.5 μs);
3) glycosylated (ASNG66: 0.5 μs)
SARS-CoV-2 E protein in the monomeric form in a POPC bilayer.

The trajectories of CG MD (TMD;H2H3_NoPTM_POPC_Martini3b: 0.5 μs) of systems containing artificial proteins consisting of only transmembrane domain (TMD) or only cytoplasmic domain (H2H3) in a POPC bilayer.

The trajectory of CG MD (4xNoPTM_POPC_Martini3b: 0.5 mks) of the system containing 4 proteins with centers of mass fixed in the plane of the POPC bilayer (XY).

The trajectories of CG MD of systems containing 2 proteins in the membranes buckled in a single direction (CurvedMembrane1;2X_2xNoPTM_POPC_Martini3b: 1 μs) and in the membrane buckled in both directions (CurvedMembraneXY_2xNoPTM_POPC_Martini3b: 1 μs).

Simulations have been performed using the beta version of Martini 3 (CG) force field, running with the GROMACS 2020.1 under the conditions reported in bioRxiv 2021.03.10.434722.

The trajectories of all-atom (AA) MD simulations (NoPTM-1;2;3;4_POPC;Mix_CHARMM36m: 0.1x3 μs) were obtained based on 4 starting representative conformations from the coarse-grained simulation (10.5281/zenodo.4740706). For each starting structure, there are six trajectories of the E protein: 3 with the protein embedded in the membrane containing POPC, and 3 with the membrane mimicking the natural ERGIC membrane (Mix: 50% POPC, 25% POPE, 10% POPI, 5% POPS, 10% cholesterol).

Simulations have been performed using the CHARMM36m (AA) force field, running with the GROMACS 2019.5 package on the supercomputer JURECA at Forschungszentrum Jülich.

The trajectories of coarse-grained (CG) molecular dynamics (MD) simulations of
1) unmodified (FeigLab_NMR; FeigLab_PentamerNoPTM_POPC_Martini3b: 5 μs; 5 μs);
2) palmitoylated (FeigLab_PentamerCYSP43; PentamerCYSP44_POPC_Martini3b: 5 μs; 5 μs);
SARS-CoV-2 E protein pentamer in a POPC bilayer.

The trajectory of CG MD of system containing 2 pentamers in the membrane buckled in a single direction (BuckledMembrane_FeigLab_2xPentamerNoPTM_POPC_Martini3b: 1 μs).

FeigLab_Pentamer: https://github.com/feiglab/sars-cov-2-proteins/blob/master/Membrane/E_protein.pdb
FeigLab_NMR_Pentamer is assembled based on the transmembrane domain determined by NMR (PDB ID: 7K3G) and FeigLab model for the rest.

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