Two and a half months after the first coronavirus disease-19 (COVID-19) patient was registered in mid-February 2020 in Codogno (northern Italy), over 221 216 positive cases have been identified in Italy, with a death toll of 30 911 [1, 2] . COVID-19 has rapidly spread to more than 200 countries all around the world, which are facing the challenges in controlling its blowout. In the early days of this outbreak, there was much uncertainty regarding the scale of the epidemic. Even if Lombardy was and is the epicentre of the Italian COVID-19 outbreak, the mode of how COVID-19 spread to Italy remains unclear. On 9 March 2020, the Italian Government initiated an unprecedented public health intervention to confine the epidemic by drastically limiting all human movement in the country (the 'Stay at Home' Law Decree), the first such quarantine in its history. Nonetheless, a complete lockdown was started only on 22 March 2020 (the 'Closing Italy' Law Decree). After 2 months, the quarantine progressively came to an end, starting on 4 May 2020.
The measures of lockdown, and the resulting reduced social contact, has decreased the count of COVID-19 cases, as well as the export of cases to other cities in Italy (in particular, in the southern regions). To estimate the effects of social distancing and the lockdown interventions in Italy, mobility data may be compared to the number of new hospital and intensive care unit admissions. To this end, the mobility data were retrieved from the Apple Mobility Trends Reports website (https://www.apple. com/covid19/mobility), in which the relative volume of directions requests per country were compared to a baseline volume on 13 January 2020. Data sent from user devices to the maps service is associated with random, rotating identifiers, so Apple does not have a profile of movements and searches. The proportion of Italian citizens using Apple Mobile systems is 24.4% (https://gs. statcounter.com/os-market-share/mobile/italy). Google has also created their own Community Mobility Reports with the similar aim of providing insights into policies aimed at combating COVID-19 (https://www.google.com/covid19/mobility/). How ever, each report data set highlights the percentage variation in places like grocery stores and parks within a geographic area. Consequently, we decided to use the data derived from the Apple Mobility Trends Reports with an approximation to onequarter of the Italian population. We calculated the mean and standard deviation of the three modes of transport recorded (car, pedestrian and public transportation) up to the partial reduction of the lockdown measures in Italy (on 3 May 2020). We calculated, in the same time period, the daily variation of the overall Italian hospitalizations and the intensive care unit admissions for COVID-19, retrieved from the database of Italian Civil Protection [2] .
Only 2 weeks after the start of the lockdown period, the volume of patients admitted to hospitals significantly decreased (Fig. 1) . A similar trend was reflected on the mobility curve, suggesting that aggressive public health intervention caused the flattening of the infection curve and a better overall outcome. During the first weeks of circulation of the virus in Italy, the reproduction number (R0), or how contagious COVID-19 is, was estimated to be 3 (an ill person will transmit the disease to an average of three others). The lockdown intervention resulted in a limited outbreak, as well as containment of the export of cases. Even if some mathematical models have suggested that an earlier lockdown may have significantly reduced disease transmission by up to 70%, nowadays, the Italian R0 is 0.5-0.7. Undetected asymptomatic or mild cases could also be a factor in this apparent decrease in over time. If asymptomatic or mildly symptomatic, but infectious cases constituted an essential fraction of the total infection, R0 could be higher than the estimated, since detecting and isolating these cases would be extremely challenging [3] . However, all these numbers only make sense in their respective context, and it is recommended that values derived from different models should not be compared with one another. R0 numbers show variations as they depend on multiple factors, including the number of susceptible individuals exposed to infected COVID-19 patients. The overall international spread of COVID-19 remains concerning, and it is assumed that figures are grossly underreported [4] .
A practical issue of these days is when and how the lockdown intervention could be relaxed since, without an effective vaccine, the general public remains vulnerable. Far be it from us to contradict epidemiologists or politicians these days, but patients should not be put at an increased risk of dying of lung cancer to avoid COVID-19. Two articles from the National Cancer Database demonstrated a reduction in 5-year survival for stage I lung cancer patients if the time-to-treat interval was greater than 8 weeks [5] . On the other hand, a delay greater than 3 months between induction therapy and surgery resulted in a shorter median survival in stage III lung cancer patients [6] . If this 'cancer amnesia' situation continues to persist, the mortality from lung neoplasms would far exceed that directly associated with the COVID-19 pandemic. Therefore, people must continue to pay attention to all cancers and not hesitate to go to the hospital to be treated in time. First results from the Thoracic cancERs international coVid 19 cOLlaboraTion registry showed a surprisingly high mortality rate of COVID-19 in thoracic cancer patients not associated with any specific type of treatment or comorbidity. Most of these deaths were caused by COVID-19 infection alone [7] . All necessary actions should be taken in hospitals (as it was done in our comprehensive cancer centre) to minimize the risks of potential contagion, designating differentiated routes and areas for patients potentially affected by COVID-19, while maintaining the highest Figure 1 : The indirect effect of lockdown measures in terms of the number of new hospitalization and intensive care admissions in Italy for COVID-19 up to 3 May 2020 (partial reduction of lockdown measurements in Italy). Mobility data were retrieved from the Apple Mobility Trends Reports website (https://www.apple.com/ covid19/mobility); hospital data were retrieved from the COVID-19 database of Italian Civil Protection [2] . SD: standard deviation.