SARS-CoV2 is a novel coronavirus, responsible for the COVID-19 pandemic declared by the World Health Organization. Thanks to the latest advancements in the field of molecular and computational techniques and information and communication technologies (ICTs), artificial intelligence (AI) and Big Data can help in handling the huge, unprecedented amount of data derived from public health surveillance, real-time epidemic outbreaks monitoring, trend now-casting/forecasting, regular situation briefing and updating from governmental institutions and organisms, and health facility utilization information. The present review is aimed at overviewing the potential applications of AI and Big Data in the global effort to manage the pandemic.

The discovery of insulin represents an authentic breakthrough, characterized, at the same time, by contrasts, controversies and disputes among scholars, as well as by great disappointments, failures and hopes. It is the story of famous, almost famous and little known people, of serendipities, discoveries and re-discoveries. The discovery of insulin has been a milestone and has truly revolutionized both the therapy and the prognosis of the diabetes, one of the diseases most studied in the history of medicine, whose first mentions trace back to a collection of ancient Egyptian, Indian and Chinese textbooks. As stated by Colwell, the introduction of insulin has heralded the end of the so-called “pre-insulin era” or “frustration era”, paving the way for a new era and clinical advancements. The current review offers a broad, comprehensive overview of main steps culminating into insulin discovery, including recent advancements such as personalized and individualized insulin therapy.

ObjectivesNotwithstanding decades of efforts to increase the uptake of seasonal influenza (flu) vaccination among European healthcare workers (HCWs), the immunisation rates are still unsatisfactory. In order to understand the reasons for the low adherence to flu vaccination, a study was carried out among HCWs of two healthcare organisations in Liguria, a region in northwest Italy.MethodsA cross-sectional study based on anonymous self-administered web questionnaires was carried out between October 2013 and February 2014. Through univariate and multivariate regression analysis, the study investigated the association between demographic and professional characteristics, knowledge, beliefs and attitudes of the study participants and (i) the seasonal flu vaccination uptake in the 2013/2014 season and (ii) the self-reported number of flu vaccination uptakes in the six consecutive seasons from 2008/2009 to 2013/2014.ResultsA total of 830 HCWs completed the survey. Factors statistically associated with flu vaccination uptake in the 2013/2014 season were: being a medical doctor and agreeing with the statements ‘flu vaccine is safe’, ‘HCWs have a higher risk of getting flu’ and ‘HCWs should receive flu vaccination every year’. A barrier to vaccination was the belief that pharmaceutical companies influence decisions about vaccination strategies.DiscussionAll the above-mentioned factors, except the last one, were (significantly) associated with the number of flu vaccination uptakes self-reported by the respondents between season 2008/2009 and season 2013/2014. Other significantly associated factors appeared to be level of education, being affected by at least one chronic disease, and agreeing with mandatory flu vaccination in healthcare settings.ConclusionsThis survey allows us to better understand the determinants of adherence to vaccination as a fundamental preventive strategy against flu among Italian HCWs. These findings should be used to improve and customise any future promotion campaigns to overcome identified barriers to immunisation.

Background: Societies are characterized by evolving health needs, which become more challenging throughout time, to which health system should respond. As such, a constant monitoring and a periodic review and reformation of healthcare systems are of fundamental importance to increase the efficiency and effectiveness of healthcare services delivery, equity, and sustainable funding. The establishment of President Rouhani’s government in Iran, on May 5, 2014, the settlement of the new Ministry of Health and Medical Education administration (MoHME) and the need for change in the provision of healthcare services has led to the "Health System Transformation Plan" (HSTP). The aim of the current investigation was to critically evaluate the health transformation plan in Iran. Methods: Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis enables to identify and assess the strengths and weaknesses within an organization or program, as well as the threats and opportunities outside the given organization or program. To identify SWOT of the HSTP in Iran, all articles concerning this program published in scholarly databases as well as in the gray literature were systematically searched. Subsequently, all factors identified at the first round were thematically classified into four categories and for reaching consensus on this classification, the list of points and factors was sent to 40 experts – policy- and decisionmakers, professors and academicians, health department workers, health activists, journalists. Results: Thirty-four subjects expressed comments on classification. Incorporating their suggestions, the SWOT analysis of Iran’s HSTP was revised, finalized and then performed. Conclusion: HSTP in Iran, like many of the initiatives that have been recently introduced and not fully implemented, have various challenges, difficulties and pitfalls that health policymakers need to pay attention to. Interacting with criticisms, taking into account public opinion and strengthening the plan can make the project more effective, and it can be anticipated that in the future, better conditions in the health sector will be achieved.

ObjectiveThe recent spreading of Zika virus represents an emerging global health threat. As such, it is attracting public interest worldwide, generating a great amount of related Internet searches and social media interactions. The aim of this research was to understand Zika-related digital behavior throughout the epidemic spreading and to assess its consistence with real-world epidemiological data, using a behavioral informatics and analytics approach.MethodsIn this study, the global web-interest and reaction to the recently occurred outbreaks of the Zika Virus were analyzed in terms of tweets and Google Trends (GT), Google News, YouTube, and Wikipedia search queries. These data streams were mined from 1st January 2004 to 31st October 2016, with a focus on the period November 2015—October 2016. This analysis was complemented with the use of epidemiological data. Spearman’s correlation was performed to correlate all Zika-related data. Moreover, a multivariate regression was performed using Zika-related search queries as a dependent variable, and epidemiological data, number of inhabitants in 2015 and Human Development Index as predictor variables.ResultsOverall 3,864,395 tweets, 284,903 accesses to Wikipedia pages dedicated to the Zika virus were analyzed during the study period. All web-data sources showed that the main spike of researches and interactions occurred in February 2016 with a second peak in August 2016. All novel data streams-related activities increased markedly during the epidemic period with respect to pre-epidemic period when no web activity was detected. Correlations between data from all these web platforms resulted very high and statistically significant. The countries in which web searches were particularly concentrated are mainly from Central and South Americas. The majority of queries concerned the symptoms of the Zika virus, its vector of transmission, and its possible effect to babies, including microcephaly. No statistically significant correlation was found between novel data streams and global real-world epidemiological data. At country level, a correlation between the digital interest towards the Zika virus and Zika incidence rate or microcephaly cases has been detected.ConclusionsAn increasing public interest and reaction to the current Zika virus outbreak was documented by all web-data sources and a similar pattern of web reactions has been detected. The public opinion seems to be particularly worried by the alert of teratogenicity of the Zika virus. Stakeholders and health authorities could usefully exploited these internet tools for collecting the concerns of public opinion and reply to them, disseminating key information.