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.

In Europe in 1918, influenza spread through Spain, France, Great Britain and Italy, causing havoc with military operations during the First World War. The influenza pandemic of 1918 killed more than 50 million people worldwide. In addition, its socioeconomic consequences were huge. "Spanish flu", as the infection was dubbed, hit different age-groups, displaying a so-called "W-trend", typically with two spikes in children and the elderly. However, healthy young adults were also affected. In order to avoid alarming the public, several local health authorities refused to reveal the numbers of people affected and deaths. Consequently, it was very difficult to assess the impact of the disease at the time. Although official communications issued by health authorities worldwide expressed certainty about the etiology of the infection, in laboratories it was not always possible to isolate the famous Pfeiffer's bacillus, which was, at that time, deemed to be the cause of influenza. The first official preventive actions were implemented in August 1918; these included the obligatory notification of suspected cases and the surveillance of communities such as day-schools, boarding schools and barracks. Identifying suspected cases through surveillance, and voluntary and/or mandatory quarantine or isolation, enabled the spread of Spanish flu to be curbed. At that time, these public health measures were the only effective weapons against the disease, as no vaccines or antivirals were available. Virological and bacteriological analysis of preserved samples from infected soldiers and other young people who died during the pandemic period is a major step toward a better understanding of this pandemic and of how to prepare for future pandemics.

Health-related quality of life (HRQoL) measurement in elderly people can provide appropriate information for an optimal management of physical/mental conditions. The main objective of the present study was to quantitatively assess the HRQoL among healthy elder Iranian individuals as measured by the Short-Form 36 (SF-36) questionnaire, both overall and at the level of each its single component/domain. This study was designed as a systematic review and meta-analysis, following the "Preferred Reporting Results of Systematic Reviews and Meta-Analyses" (PRISMA) guidelines. Embase, PubMed/MEDLINE, ISI/Web of Science (WOS), Scopus, and Iranian databases such as MagIran, SID and Irandoc were mined from inception up to 1st September 2017. Also the grey literature (via Google Scholar) was mined. Two reviewers independently screened titles/abstracts, assessed full-text articles, extracted data, and appraised their quality using the "Strengthening the Reporting of Observational Studies in Epidemiology" (STROBE) checklist. Twenty five studies were included. Mean overall HRQoL was 54.92 [95%CI 51.50–58.33], lower than the value found by studies done in other countries, especially in those economically developed. The sensitivity analysis indicated stability and reliability of results. Pooled scores of each HRQoL domain/sub-scale of the SF-36 questionnaire ranged from 49.77 (physical role functioning) to 63.02 (social role functioning). HRQoL among healthy elder Iranian individuals is generally low. Health policy-makers should put HRQoL among the elderly as a priority of their agenda, implementing ad hoc programs and providing social, economic and psychological support, as well as increasing the participation of old people in the community life and use their experiences.

The increasingly swift changes in the field of medicine require a reassessment of the skills necessary for the training of technically qualified doctors. Today’s physicians also need to be capable of managing the complex issue of personal relationships with patients. Recent pedagogical debates have focused on so-called “soft skills”, whose acquisition is presented in literature as a quite recent addition to medical studies. Moreover, the historical investigation of deontological texts dating from the mid-nineteenth century back to the Hippocratic Oath shows that medicine has always discussed the need to integrate technical expertise in medicine with specific personal and relationship-based skills. Debates have often circled around whether these “soft skills” could actually be taught or how they could be successfully transmitted to training physicians. The belief that defining medicine is more complex than defining other similar sciences and that the instruments to be used in the relationship with patients cannot be limited to those provided by technical aspects shows a new awareness. Today, this view is often stated as an innovative realization on the part of doctors with regard to the complexity of training and action in a delicate area in which they are entrusted with the management of the balance of the system that is the human body.

As the world has challenged/argued with the Covid-19 pandemic over the last two years, there has been an increase in vaccine misinformation. Although immunity against Covid-19 infection is limited to 4–6 months and requires at least three doses of vaccine to be maximally effective, the current vaccination campaign in industrialized countries shows that vaccinated citizens experience greater immunological protection against severe forms of the disease than unvaccinated citizens. A perusal of the literature was performed in order to reconstruct the communication methods applied in the managing of the Covid-19 pandemic; the management of the current pandemic was compared with the management of another scourge of the past: poliomyelitis. In order to raise public awareness on public health issues, it is essential that governments and institutions communicate scientific data to all sections of the population in an unambiguous way. In this sense, it is essential to apply “prebunking”, which is a layered defense system available to society that prevents misinformation before it is spread. This is to avoid the subsequent debunking of false information, which generates insecurity and fuels fears. Belief in medical misinformation represents a meaningful problem for public health efforts to fight Covid-19 through vaccination. In this sense an example of proper management of one of the many epidemics of the recent past, poliomyelitis, should make us reflect on the effectiveness of past approaches. This testimony from the past can provide us with food for thought regarding how to face the present Covid-19 pandemic and to prepare for the future. Certainly, it shows us how the awful pandemics/epidemics from the past was handled and finally overcome, despite perceived risk and vaccine hesitancy.